[PATCH v1 14/51] perf vendor events intel: Refresh broadwellx metrics

[Ian Rogers]

Update the broadwellx metrics to TMA version 4.5. Generation was done
using https://github.com/intel/perfmon.

Notable changes are TMA info metrics are renamed from their node name
to be lower case and prefixed by tma_info_, MetricThreshold
expressions are added, "Sample with" documentation is added to many
TMA metrics, and the smi_cost metric group is added replicating
existing hard coded metrics in stat-shadow.

Signed-off-by: Ian Rogers <irogers@xxxxxxxxxx>
---
 .../arch/x86/broadwellx/bdx-metrics.json      | 1626 ++++++++---------
 .../arch/x86/broadwellx/uncore-cache.json     |   74 +-
 .../x86/broadwellx/uncore-interconnect.json   |   64 +-
 .../arch/x86/broadwellx/uncore-other.json     |    4 +-
 4 files changed, 873 insertions(+), 895 deletions(-)

diff --git a/tools/perf/pmu-events/arch/x86/broadwellx/bdx-metrics.json b/tools/perf/pmu-events/arch/x86/broadwellx/bdx-metrics.json
index f5c8f707c692..65ec0c9e55d1 100644
--- a/tools/perf/pmu-events/arch/x86/broadwellx/bdx-metrics.json
+++ b/tools/perf/pmu-events/arch/x86/broadwellx/bdx-metrics.json
@@ -1,1189 +1,1167 @@
 [
     {
-        "BriefDescription": "Instructions Per Cycle (per Logical Processor)",
-        "MetricExpr": "INST_RETIRED.ANY / CLKS",
-        "MetricGroup": "Ret;Summary",
-        "MetricName": "IPC"
-    },
-    {
-        "BriefDescription": "Uops Per Instruction",
-        "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / INST_RETIRED.ANY",
-        "MetricGroup": "Pipeline;Ret;Retire",
-        "MetricName": "UPI"
-    },
-    {
-        "BriefDescription": "Instruction per taken branch",
-        "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / BR_INST_RETIRED.NEAR_TAKEN",
-        "MetricGroup": "Branches;Fed;FetchBW",
-        "MetricName": "UpTB"
-    },
-    {
-        "BriefDescription": "Cycles Per Instruction (per Logical Processor)",
-        "MetricExpr": "1 / IPC",
-        "MetricGroup": "Mem;Pipeline",
-        "MetricName": "CPI"
-    },
-    {
-        "BriefDescription": "Per-Logical Processor actual clocks when the Logical Processor is active.",
-        "MetricExpr": "CPU_CLK_UNHALTED.THREAD",
-        "MetricGroup": "Pipeline",
-        "MetricName": "CLKS"
-    },
-    {
-        "BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
-        "MetricExpr": "4 * CORE_CLKS",
-        "MetricGroup": "tma_L1_group",
-        "MetricName": "SLOTS"
-    },
-    {
-        "BriefDescription": "The ratio of Executed- by Issued-Uops",
-        "MetricExpr": "UOPS_EXECUTED.THREAD / UOPS_ISSUED.ANY",
-        "MetricGroup": "Cor;Pipeline",
-        "MetricName": "Execute_per_Issue",
-        "PublicDescription": "The ratio of Executed- by Issued-Uops. Ratio > 1 suggests high rate of uop micro-fusions. Ratio < 1 suggest high rate of \"execute\" at rename stage."
-    },
-    {
-        "BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
-        "MetricExpr": "INST_RETIRED.ANY / CORE_CLKS",
-        "MetricGroup": "Ret;SMT;tma_L1_group",
-        "MetricName": "CoreIPC"
-    },
-    {
-        "BriefDescription": "Floating Point Operations Per Cycle",
-        "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / CORE_CLKS",
-        "MetricGroup": "Flops;Ret",
-        "MetricName": "FLOPc"
+        "BriefDescription": "C2 residency percent per package",
+        "MetricExpr": "cstate_pkg@c2\\-residency@ / TSC",
+        "MetricGroup": "Power",
+        "MetricName": "C2_Pkg_Residency",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width)",
-        "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)) / (2 * CORE_CLKS)",
-        "MetricGroup": "Cor;Flops;HPC",
-        "MetricName": "FP_Arith_Utilization",
-        "PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common)."
+        "BriefDescription": "C3 residency percent per core",
+        "MetricExpr": "cstate_core@c3\\-residency@ / TSC",
+        "MetricGroup": "Power",
+        "MetricName": "C3_Core_Residency",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
-        "MetricExpr": "UOPS_EXECUTED.THREAD / (cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2 if #SMT_on else UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC)",
-        "MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
-        "MetricName": "ILP"
+        "BriefDescription": "C3 residency percent per package",
+        "MetricExpr": "cstate_pkg@c3\\-residency@ / TSC",
+        "MetricGroup": "Power",
+        "MetricName": "C3_Pkg_Residency",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
-        "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / 2 * (1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK) if #core_wide < 1 else (CPU_CLK_UNHALTED.THREAD_ANY / 2 if #SMT_on else CLKS))",
-        "MetricGroup": "SMT",
-        "MetricName": "CORE_CLKS"
+        "BriefDescription": "C6 residency percent per core",
+        "MetricExpr": "cstate_core@c6\\-residency@ / TSC",
+        "MetricGroup": "Power",
+        "MetricName": "C6_Core_Residency",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Instructions per Load (lower number means higher occurrence rate)",
-        "MetricExpr": "INST_RETIRED.ANY / MEM_UOPS_RETIRED.ALL_LOADS",
-        "MetricGroup": "InsType",
-        "MetricName": "IpLoad"
+        "BriefDescription": "C6 residency percent per package",
+        "MetricExpr": "cstate_pkg@c6\\-residency@ / TSC",
+        "MetricGroup": "Power",
+        "MetricName": "C6_Pkg_Residency",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Instructions per Store (lower number means higher occurrence rate)",
-        "MetricExpr": "INST_RETIRED.ANY / MEM_UOPS_RETIRED.ALL_STORES",
-        "MetricGroup": "InsType",
-        "MetricName": "IpStore"
+        "BriefDescription": "C7 residency percent per core",
+        "MetricExpr": "cstate_core@c7\\-residency@ / TSC",
+        "MetricGroup": "Power",
+        "MetricName": "C7_Core_Residency",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Instructions per Branch (lower number means higher occurrence rate)",
-        "MetricExpr": "INST_RETIRED.ANY / BR_INST_RETIRED.ALL_BRANCHES",
-        "MetricGroup": "Branches;Fed;InsType",
-        "MetricName": "IpBranch"
+        "BriefDescription": "C7 residency percent per package",
+        "MetricExpr": "cstate_pkg@c7\\-residency@ / TSC",
+        "MetricGroup": "Power",
+        "MetricName": "C7_Pkg_Residency",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Instructions per (near) call (lower number means higher occurrence rate)",
-        "MetricExpr": "INST_RETIRED.ANY / BR_INST_RETIRED.NEAR_CALL",
-        "MetricGroup": "Branches;Fed;PGO",
-        "MetricName": "IpCall"
+        "BriefDescription": "Uncore frequency per die [GHZ]",
+        "MetricExpr": "tma_info_socket_clks / #num_dies / duration_time / 1e9",
+        "MetricGroup": "SoC",
+        "MetricName": "UNCORE_FREQ"
     },
     {
-        "BriefDescription": "Instruction per taken branch",
-        "MetricExpr": "INST_RETIRED.ANY / BR_INST_RETIRED.NEAR_TAKEN",
-        "MetricGroup": "Branches;Fed;FetchBW;Frontend;PGO",
-        "MetricName": "IpTB"
+        "BriefDescription": "Percentage of cycles spent in System Management Interrupts.",
+        "MetricExpr": "((msr@aperf@ - cycles) / msr@aperf@ if msr@smi@ > 0 else 0)",
+        "MetricGroup": "smi",
+        "MetricName": "smi_cycles",
+        "MetricThreshold": "smi_cycles > 0.1",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Branch instructions per taken branch. ",
-        "MetricExpr": "BR_INST_RETIRED.ALL_BRANCHES / BR_INST_RETIRED.NEAR_TAKEN",
-        "MetricGroup": "Branches;Fed;PGO",
-        "MetricName": "BpTkBranch"
+        "BriefDescription": "Number of SMI interrupts.",
+        "MetricExpr": "msr@smi@",
+        "MetricGroup": "smi",
+        "MetricName": "smi_num",
+        "ScaleUnit": "1SMI#"
     },
     {
-        "BriefDescription": "Instructions per Floating Point (FP) Operation (lower number means higher occurrence rate)",
-        "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
-        "MetricGroup": "Flops;InsType",
-        "MetricName": "IpFLOP"
+        "BriefDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset",
+        "MetricExpr": "LD_BLOCKS_PARTIAL.ADDRESS_ALIAS / tma_info_clks",
+        "MetricGroup": "TopdownL4;tma_L4_group;tma_l1_bound_group",
+        "MetricName": "tma_4k_aliasing",
+        "MetricThreshold": "tma_4k_aliasing > 0.2 & (tma_l1_bound > 0.1 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset. False match is possible; which incur a few cycles load re-issue. However; the short re-issue duration is often hidden by the out-of-order core and HW optimizations; hence a user may safely ignore a high value of this metric unless it manages to propagate up into parent nodes of the hierarchy (e.g. to L1_Bound).",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate)",
-        "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE))",
-        "MetricGroup": "Flops;InsType",
-        "MetricName": "IpArith",
-        "PublicDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate). May undercount due to FMA double counting. Approximated prior to BDW."
+        "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
+        "MetricConstraint": "NO_GROUP_EVENTS_NMI",
+        "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_0 + UOPS_DISPATCHED_PORT.PORT_1 + UOPS_DISPATCHED_PORT.PORT_5 + UOPS_DISPATCHED_PORT.PORT_6) / tma_info_slots",
+        "MetricGroup": "TopdownL5;tma_L5_group;tma_ports_utilized_3m_group",
+        "MetricName": "tma_alu_op_utilization",
+        "MetricThreshold": "tma_alu_op_utilization > 0.6",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Instructions per FP Arithmetic Scalar Single-Precision instruction (lower number means higher occurrence rate)",
-        "MetricExpr": "INST_RETIRED.ANY / FP_ARITH_INST_RETIRED.SCALAR_SINGLE",
-        "MetricGroup": "Flops;FpScalar;InsType",
-        "MetricName": "IpArith_Scalar_SP",
-        "PublicDescription": "Instructions per FP Arithmetic Scalar Single-Precision instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
+        "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
+        "MetricExpr": "100 * OTHER_ASSISTS.ANY_WB_ASSIST / tma_info_slots",
+        "MetricGroup": "TopdownL4;tma_L4_group;tma_microcode_sequencer_group",
+        "MetricName": "tma_assists",
+        "MetricThreshold": "tma_assists > 0.1 & (tma_microcode_sequencer > 0.05 & tma_heavy_operations > 0.1)",
+        "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases. Sample with: OTHER_ASSISTS.ANY",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Instructions per FP Arithmetic Scalar Double-Precision instruction (lower number means higher occurrence rate)",
-        "MetricExpr": "INST_RETIRED.ANY / FP_ARITH_INST_RETIRED.SCALAR_DOUBLE",
-        "MetricGroup": "Flops;FpScalar;InsType",
-        "MetricName": "IpArith_Scalar_DP",
-        "PublicDescription": "Instructions per FP Arithmetic Scalar Double-Precision instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
+        "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
+        "MetricConstraint": "NO_GROUP_EVENTS_NMI",
+        "MetricExpr": "1 - (tma_frontend_bound + tma_bad_speculation + tma_retiring)",
+        "MetricGroup": "TmaL1;TopdownL1;tma_L1_group",
+        "MetricName": "tma_backend_bound",
+        "MetricThreshold": "tma_backend_bound > 0.2",
+        "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound.",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate)",
-        "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE)",
-        "MetricGroup": "Flops;FpVector;InsType",
-        "MetricName": "IpArith_AVX128",
-        "PublicDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
+        "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
+        "MetricExpr": "(UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * (INT_MISC.RECOVERY_CYCLES_ANY / 2 if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / tma_info_slots",
+        "MetricGroup": "TmaL1;TopdownL1;tma_L1_group",
+        "MetricName": "tma_bad_speculation",
+        "MetricThreshold": "tma_bad_speculation > 0.15",
+        "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example.",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate)",
-        "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
-        "MetricGroup": "Flops;FpVector;InsType",
-        "MetricName": "IpArith_AVX256",
-        "PublicDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
+        "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT) * tma_bad_speculation",
+        "MetricGroup": "BadSpec;BrMispredicts;TmaL2;TopdownL2;tma_L2_group;tma_bad_speculation_group;tma_issueBM",
+        "MetricName": "tma_branch_mispredicts",
+        "MetricThreshold": "tma_branch_mispredicts > 0.1 & tma_bad_speculation > 0.15",
+        "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction.  These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path. Sample with: BR_MISP_RETIRED.ALL_BRANCHES. Related metrics: tma_info_branch_misprediction_cost, tma_mispredicts_resteers",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Total number of retired Instructions Sample with: INST_RETIRED.PREC_DIST",
-        "MetricExpr": "INST_RETIRED.ANY",
-        "MetricGroup": "Summary;tma_L1_group",
-        "MetricName": "Instructions"
+        "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
+        "MetricExpr": "12 * (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY) / tma_info_clks",
+        "MetricGroup": "FetchLat;TopdownL3;tma_L3_group;tma_fetch_latency_group",
+        "MetricName": "tma_branch_resteers",
+        "MetricThreshold": "tma_branch_resteers > 0.05 & (tma_fetch_latency > 0.1 & tma_frontend_bound > 0.15)",
+        "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings. Sample with: BR_MISP_RETIRED.ALL_BRANCHES",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Average number of Uops retired in cycles where at least one uop has retired.",
-        "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / cpu@UOPS_RETIRED.RETIRE_SLOTS\\,cmask\\=1@",
-        "MetricGroup": "Pipeline;Ret",
-        "MetricName": "Retire"
+        "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
+        "MetricConstraint": "NO_GROUP_EVENTS_NMI",
+        "MetricExpr": "max(0, tma_microcode_sequencer - tma_assists)",
+        "MetricGroup": "TopdownL4;tma_L4_group;tma_microcode_sequencer_group",
+        "MetricName": "tma_cisc",
+        "MetricThreshold": "tma_cisc > 0.1 & (tma_microcode_sequencer > 0.05 & tma_heavy_operations > 0.1)",
+        "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources.",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "",
-        "MetricExpr": "UOPS_EXECUTED.THREAD / cpu@UOPS_EXECUTED.THREAD\\,cmask\\=1@",
-        "MetricGroup": "Cor;Pipeline;PortsUtil;SMT",
-        "MetricName": "Execute"
+        "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears",
+        "MetricExpr": "MACHINE_CLEARS.COUNT * tma_branch_resteers / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY)",
+        "MetricGroup": "BadSpec;MachineClears;TopdownL4;tma_L4_group;tma_branch_resteers_group;tma_issueMC",
+        "MetricName": "tma_clears_resteers",
+        "MetricThreshold": "tma_clears_resteers > 0.05 & (tma_branch_resteers > 0.05 & (tma_fetch_latency > 0.1 & tma_frontend_bound > 0.15))",
+        "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears. Related metrics: tma_l1_bound, tma_machine_clears, tma_microcode_sequencer, tma_ms_switches",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Fraction of Uops delivered by the DSB (aka Decoded ICache; or Uop Cache)",
-        "MetricExpr": "IDQ.DSB_UOPS / (IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS)",
-        "MetricGroup": "DSB;Fed;FetchBW",
-        "MetricName": "DSB_Coverage"
+        "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "(60 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM * (1 + MEM_LOAD_UOPS_RETIRED.HIT_LFB / (MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) + 43 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS * (1 + MEM_LOAD_UOPS_RETIRED.HIT_LFB / (MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD)))) / tma_info_clks",
+        "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_L4_group;tma_issueSyncxn;tma_l3_bound_group",
+        "MetricName": "tma_contested_accesses",
+        "MetricThreshold": "tma_contested_accesses > 0.05 & (tma_l3_bound > 0.05 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;MEM_LOAD_L3_HIT_RETIRED.XSNP_MISS_PS. Related metrics: tma_data_sharing, tma_false_sharing, tma_machine_clears, tma_remote_cache",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Number of Instructions per non-speculative Branch Misprediction (JEClear) (lower number means higher occurrence rate)",
-        "MetricExpr": "INST_RETIRED.ANY / BR_MISP_RETIRED.ALL_BRANCHES",
-        "MetricGroup": "Bad;BadSpec;BrMispredicts",
-        "MetricName": "IpMispredict"
+        "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "tma_backend_bound - tma_memory_bound",
+        "MetricGroup": "Backend;Compute;TmaL2;TopdownL2;tma_L2_group;tma_backend_bound_group",
+        "MetricName": "tma_core_bound",
+        "MetricThreshold": "tma_core_bound > 0.1 & tma_backend_bound > 0.2",
+        "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck.  Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations).",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
-        "MetricExpr": "(tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) * SLOTS / BR_MISP_RETIRED.ALL_BRANCHES",
-        "MetricGroup": "Bad;BrMispredicts",
-        "MetricName": "Branch_Misprediction_Cost"
+        "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "43 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT * (1 + MEM_LOAD_UOPS_RETIRED.HIT_LFB / (MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) / tma_info_clks",
+        "MetricGroup": "Offcore;Snoop;TopdownL4;tma_L4_group;tma_issueSyncxn;tma_l3_bound_group",
+        "MetricName": "tma_data_sharing",
+        "MetricThreshold": "tma_data_sharing > 0.05 & (tma_l3_bound > 0.05 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HIT_PS. Related metrics: tma_contested_accesses, tma_false_sharing, tma_machine_clears, tma_remote_cache",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Actual Average Latency for L1 data-cache miss demand load operations (in core cycles)",
-        "MetricExpr": "L1D_PEND_MISS.PENDING / (MEM_LOAD_UOPS_RETIRED.L1_MISS + MEM_LOAD_UOPS_RETIRED.HIT_LFB)",
-        "MetricGroup": "Mem;MemoryBound;MemoryLat",
-        "MetricName": "Load_Miss_Real_Latency"
+        "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
+        "MetricExpr": "ARITH.FPU_DIV_ACTIVE / tma_info_core_clks",
+        "MetricGroup": "TopdownL3;tma_L3_group;tma_core_bound_group",
+        "MetricName": "tma_divider",
+        "MetricThreshold": "tma_divider > 0.2 & (tma_core_bound > 0.1 & tma_backend_bound > 0.2)",
+        "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication. Sample with: ARITH.DIVIDER_UOPS",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)",
-        "MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
-        "MetricGroup": "Mem;MemoryBW;MemoryBound",
-        "MetricName": "MLP"
+        "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
+        "MetricConstraint": "NO_GROUP_EVENTS_SMT",
+        "MetricExpr": "(1 - MEM_LOAD_UOPS_RETIRED.L3_HIT / (MEM_LOAD_UOPS_RETIRED.L3_HIT + 7 * MEM_LOAD_UOPS_RETIRED.L3_MISS)) * CYCLE_ACTIVITY.STALLS_L2_MISS / tma_info_clks",
+        "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_L3_group;tma_memory_bound_group",
+        "MetricName": "tma_dram_bound",
+        "MetricThreshold": "tma_dram_bound > 0.1 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2)",
+        "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_MISS_PS",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
-        "MetricExpr": "1e3 * MEM_LOAD_UOPS_RETIRED.L1_MISS / INST_RETIRED.ANY",
-        "MetricGroup": "CacheMisses;Mem",
-        "MetricName": "L1MPKI"
+        "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
+        "MetricExpr": "(IDQ.ALL_DSB_CYCLES_ANY_UOPS - IDQ.ALL_DSB_CYCLES_4_UOPS) / tma_info_core_clks / 2",
+        "MetricGroup": "DSB;FetchBW;TopdownL3;tma_L3_group;tma_fetch_bandwidth_group",
+        "MetricName": "tma_dsb",
+        "MetricThreshold": "tma_dsb > 0.15 & (tma_fetch_bandwidth > 0.1 & tma_frontend_bound > 0.15 & tma_info_ipc / 4 > 0.35)",
+        "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline.  For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here.",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
-        "MetricExpr": "1e3 * MEM_LOAD_UOPS_RETIRED.L2_MISS / INST_RETIRED.ANY",
-        "MetricGroup": "Backend;CacheMisses;Mem",
-        "MetricName": "L2MPKI"
+        "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
+        "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / tma_info_clks",
+        "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_L3_group;tma_fetch_latency_group;tma_issueFB",
+        "MetricName": "tma_dsb_switches",
+        "MetricThreshold": "tma_dsb_switches > 0.05 & (tma_fetch_latency > 0.1 & tma_frontend_bound > 0.15)",
+        "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty. Related metrics: tma_fetch_bandwidth, tma_info_dsb_coverage, tma_info_iptb, tma_lcp",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all request types (including speculative)",
-        "MetricExpr": "1e3 * L2_RQSTS.MISS / INST_RETIRED.ANY",
-        "MetricGroup": "CacheMisses;Mem;Offcore",
-        "MetricName": "L2MPKI_All"
+        "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
+        "MetricExpr": "(8 * DTLB_LOAD_MISSES.STLB_HIT + cpu@DTLB_LOAD_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * DTLB_LOAD_MISSES.WALK_COMPLETED) / tma_info_clks",
+        "MetricGroup": "MemoryTLB;TopdownL4;tma_L4_group;tma_issueTLB;tma_l1_bound_group",
+        "MetricName": "tma_dtlb_load",
+        "MetricThreshold": "tma_dtlb_load > 0.1 & (tma_l1_bound > 0.1 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss. Sample with: MEM_UOPS_RETIRED.STLB_MISS_LOADS_PS. Related metrics: tma_dtlb_store",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all demand loads  (including speculative)",
-        "MetricExpr": "1e3 * L2_RQSTS.DEMAND_DATA_RD_MISS / INST_RETIRED.ANY",
-        "MetricGroup": "CacheMisses;Mem",
-        "MetricName": "L2MPKI_Load"
+        "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
+        "MetricExpr": "(8 * DTLB_STORE_MISSES.STLB_HIT + cpu@DTLB_STORE_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * DTLB_STORE_MISSES.WALK_COMPLETED) / tma_info_clks",
+        "MetricGroup": "MemoryTLB;TopdownL4;tma_L4_group;tma_issueTLB;tma_store_bound_group",
+        "MetricName": "tma_dtlb_store",
+        "MetricThreshold": "tma_dtlb_store > 0.05 & (tma_store_bound > 0.2 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses.  As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead.  Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page.  Try using larger page sizes for large amounts of frequently-used data. Sample with: MEM_UOPS_RETIRED.STLB_MISS_STORES_PS. Related metrics: tma_dtlb_load",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "L2 cache hits per kilo instruction for all request types (including speculative)",
-        "MetricExpr": "1e3 * (L2_RQSTS.REFERENCES - L2_RQSTS.MISS) / INST_RETIRED.ANY",
-        "MetricGroup": "CacheMisses;Mem",
-        "MetricName": "L2HPKI_All"
+        "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
+        "MetricExpr": "(200 * OFFCORE_RESPONSE.DEMAND_RFO.LLC_MISS.REMOTE_HITM + 60 * OFFCORE_RESPONSE.DEMAND_RFO.LLC_HIT.HITM_OTHER_CORE) / tma_info_clks",
+        "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_L4_group;tma_issueSyncxn;tma_store_bound_group",
+        "MetricName": "tma_false_sharing",
+        "MetricThreshold": "tma_false_sharing > 0.05 & (tma_store_bound > 0.2 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. Sample with: MEM_LOAD_L3_HIT_RETIRED.XSNP_HITM_PS;OFFCORE_RESPONSE.DEMAND_RFO.L3_HIT.SNOOP_HITM. Related metrics: tma_contested_accesses, tma_data_sharing, tma_machine_clears, tma_remote_cache",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "L2 cache hits per kilo instruction for all demand loads  (including speculative)",
-        "MetricExpr": "1e3 * L2_RQSTS.DEMAND_DATA_RD_HIT / INST_RETIRED.ANY",
-        "MetricGroup": "CacheMisses;Mem",
-        "MetricName": "L2HPKI_Load"
+        "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "tma_info_load_miss_real_latency * cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=1@ / tma_info_clks",
+        "MetricGroup": "MemoryBW;TopdownL4;tma_L4_group;tma_issueBW;tma_issueSL;tma_issueSmSt;tma_l1_bound_group",
+        "MetricName": "tma_fb_full",
+        "MetricThreshold": "tma_fb_full > 0.3",
+        "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory). Related metrics: tma_info_dram_bw_use, tma_mem_bandwidth, tma_sq_full, tma_store_latency, tma_streaming_stores",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
-        "MetricExpr": "1e3 * MEM_LOAD_UOPS_RETIRED.L3_MISS / INST_RETIRED.ANY",
-        "MetricGroup": "CacheMisses;Mem",
-        "MetricName": "L3MPKI"
+        "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
+        "MetricExpr": "tma_frontend_bound - tma_fetch_latency",
+        "MetricGroup": "FetchBW;Frontend;TmaL2;TopdownL2;tma_L2_group;tma_frontend_bound_group;tma_issueFB",
+        "MetricName": "tma_fetch_bandwidth",
+        "MetricThreshold": "tma_fetch_bandwidth > 0.1 & tma_frontend_bound > 0.15 & tma_info_ipc / 4 > 0.35",
+        "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues.  For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend. Related metrics: tma_dsb_switches, tma_info_dsb_coverage, tma_info_iptb, tma_lcp",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
-        "MetricConstraint": "NO_NMI_WATCHDOG",
-        "MetricExpr": "(ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION + 7 * (DTLB_STORE_MISSES.WALK_COMPLETED + DTLB_LOAD_MISSES.WALK_COMPLETED + ITLB_MISSES.WALK_COMPLETED)) / (2 * CORE_CLKS)",
-        "MetricGroup": "Mem;MemoryTLB",
-        "MetricName": "Page_Walks_Utilization"
+        "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
+        "MetricExpr": "4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / tma_info_slots",
+        "MetricGroup": "Frontend;TmaL2;TopdownL2;tma_L2_group;tma_frontend_bound_group",
+        "MetricName": "tma_fetch_latency",
+        "MetricThreshold": "tma_fetch_latency > 0.1 & tma_frontend_bound > 0.15",
+        "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues.  For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period. Sample with: RS_EVENTS.EMPTY_END",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Average per-core data fill bandwidth to the L1 data cache [GB / sec]",
-        "MetricExpr": "64 * L1D.REPLACEMENT / 1e9 / duration_time",
-        "MetricGroup": "Mem;MemoryBW",
-        "MetricName": "L1D_Cache_Fill_BW"
+        "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
+        "MetricExpr": "tma_x87_use + tma_fp_scalar + tma_fp_vector",
+        "MetricGroup": "HPC;TopdownL3;tma_L3_group;tma_light_operations_group",
+        "MetricName": "tma_fp_arith",
+        "MetricThreshold": "tma_fp_arith > 0.2 & tma_light_operations > 0.6",
+        "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting.",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Average per-core data fill bandwidth to the L2 cache [GB / sec]",
-        "MetricExpr": "64 * L2_LINES_IN.ALL / 1e9 / duration_time",
-        "MetricGroup": "Mem;MemoryBW",
-        "MetricName": "L2_Cache_Fill_BW"
+        "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
+        "MetricExpr": "cpu@FP_ARITH_INST_RETIRED.SCALAR_SINGLE\\,umask\\=0x03@ / UOPS_RETIRED.RETIRE_SLOTS",
+        "MetricGroup": "Compute;Flops;TopdownL4;tma_L4_group;tma_fp_arith_group;tma_issue2P",
+        "MetricName": "tma_fp_scalar",
+        "MetricThreshold": "tma_fp_scalar > 0.1 & (tma_fp_arith > 0.2 & tma_light_operations > 0.6)",
+        "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting. Related metrics: tma_fp_vector, tma_fp_vector_128b, tma_fp_vector_256b, tma_fp_vector_512b, tma_port_0, tma_port_1, tma_port_5, tma_port_6, tma_ports_utilized_2",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Average per-core data fill bandwidth to the L3 cache [GB / sec]",
-        "MetricExpr": "64 * LONGEST_LAT_CACHE.MISS / 1e9 / duration_time",
-        "MetricGroup": "Mem;MemoryBW",
-        "MetricName": "L3_Cache_Fill_BW"
+        "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
+        "MetricExpr": "cpu@FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE\\,umask\\=0x3c@ / UOPS_RETIRED.RETIRE_SLOTS",
+        "MetricGroup": "Compute;Flops;TopdownL4;tma_L4_group;tma_fp_arith_group;tma_issue2P",
+        "MetricName": "tma_fp_vector",
+        "MetricThreshold": "tma_fp_vector > 0.1 & (tma_fp_arith > 0.2 & tma_light_operations > 0.6)",
+        "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting. Related metrics: tma_fp_scalar, tma_fp_vector_128b, tma_fp_vector_256b, tma_fp_vector_512b, tma_port_0, tma_port_1, tma_port_5, tma_port_6, tma_ports_utilized_2",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
-        "MetricExpr": "L1D_Cache_Fill_BW",
-        "MetricGroup": "Mem;MemoryBW",
-        "MetricName": "L1D_Cache_Fill_BW_1T"
+        "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors",
+        "MetricExpr": "(FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+        "MetricGroup": "Compute;Flops;TopdownL5;tma_L5_group;tma_fp_vector_group;tma_issue2P",
+        "MetricName": "tma_fp_vector_128b",
+        "MetricThreshold": "tma_fp_vector_128b > 0.1 & (tma_fp_vector > 0.1 & (tma_fp_arith > 0.2 & tma_light_operations > 0.6))",
+        "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors. May overcount due to FMA double counting. Related metrics: tma_fp_scalar, tma_fp_vector, tma_fp_vector_256b, tma_fp_vector_512b, tma_port_0, tma_port_1, tma_port_5, tma_port_6, tma_ports_utilized_2",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
-        "MetricExpr": "L2_Cache_Fill_BW",
-        "MetricGroup": "Mem;MemoryBW",
-        "MetricName": "L2_Cache_Fill_BW_1T"
+        "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors",
+        "MetricExpr": "(FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS",
+        "MetricGroup": "Compute;Flops;TopdownL5;tma_L5_group;tma_fp_vector_group;tma_issue2P",
+        "MetricName": "tma_fp_vector_256b",
+        "MetricThreshold": "tma_fp_vector_256b > 0.1 & (tma_fp_vector > 0.1 & (tma_fp_arith > 0.2 & tma_light_operations > 0.6))",
+        "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors. May overcount due to FMA double counting. Related metrics: tma_fp_scalar, tma_fp_vector, tma_fp_vector_128b, tma_fp_vector_512b, tma_port_0, tma_port_1, tma_port_5, tma_port_6, tma_ports_utilized_2",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
-        "MetricExpr": "L3_Cache_Fill_BW",
-        "MetricGroup": "Mem;MemoryBW",
-        "MetricName": "L3_Cache_Fill_BW_1T"
+        "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
+        "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / tma_info_slots",
+        "MetricGroup": "PGO;TmaL1;TopdownL1;tma_L1_group",
+        "MetricName": "tma_frontend_bound",
+        "MetricThreshold": "tma_frontend_bound > 0.15",
+        "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Pipeline_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound.",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Average per-thread data access bandwidth to the L3 cache [GB / sec]",
-        "MetricExpr": "0",
-        "MetricGroup": "Mem;MemoryBW;Offcore",
-        "MetricName": "L3_Cache_Access_BW_1T"
+        "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or micro-coded sequences",
+        "MetricExpr": "tma_microcode_sequencer",
+        "MetricGroup": "Retire;TmaL2;TopdownL2;tma_L2_group;tma_retiring_group",
+        "MetricName": "tma_heavy_operations",
+        "MetricThreshold": "tma_heavy_operations > 0.1",
+        "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or micro-coded sequences. This highly-correlates with the uop length of these instructions/sequences.",
+        "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "Average CPU Utilization",
-        "MetricExpr": "CPU_CLK_UNHALTED.REF_TSC / TSC",
-        "MetricGroup": "HPC;Summary",
-        "MetricName": "CPU_Utilization"
+        "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses.",
+        "MetricExpr": "ICACHE.IFDATA_STALL / tma_info_clks",
+        "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_L3_group;tma_fetch_latency_group",
+        "MetricName": "tma_icache_misses",
+        "MetricThreshold": "tma_icache_misses > 0.05 & (tma_fetch_latency > 0.1 & tma_frontend_bound > 0.15)",
+        "ScaleUnit": "100%"
     },
     {
         "BriefDescription": "Measured Average Frequency for unhalted processors [GHz]",
-        "MetricExpr": "Turbo_Utilization * TSC / 1e9 / duration_time",
+        "MetricExpr": "tma_info_turbo_utilization * TSC / 1e9 / duration_time",
         "MetricGroup": "Power;Summary",
-        "MetricName": "Average_Frequency"
+        "MetricName": "tma_info_average_frequency"
     },
     {
-        "BriefDescription": "Giga Floating Point Operations Per Second",
-        "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / 1e9 / duration_time",
-        "MetricGroup": "Cor;Flops;HPC",
-        "MetricName": "GFLOPs",
-        "PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine."
-    },
-    {
-        "BriefDescription": "Average Frequency Utilization relative nominal frequency",
-        "MetricExpr": "CLKS / CPU_CLK_UNHALTED.REF_TSC",
-        "MetricGroup": "Power",
-        "MetricName": "Turbo_Utilization"
-    },
-    {
-        "BriefDescription": "Fraction of cycles where both hardware Logical Processors were active",
-        "MetricExpr": "(1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / (CPU_CLK_UNHALTED.REF_XCLK_ANY / 2) if #SMT_on else 0)",
-        "MetricGroup": "SMT",
-        "MetricName": "SMT_2T_Utilization"
-    },
-    {
-        "BriefDescription": "Fraction of cycles spent in the Operating System (OS) Kernel mode",
-        "MetricExpr": "CPU_CLK_UNHALTED.THREAD_P:k / CPU_CLK_UNHALTED.THREAD",
-        "MetricGroup": "OS",
-        "MetricName": "Kernel_Utilization"
-    },
-    {
-        "BriefDescription": "Cycles Per Instruction for the Operating System (OS) Kernel mode",
-        "MetricExpr": "CPU_CLK_UNHALTED.THREAD_P:k / INST_RETIRED.ANY_P:k",
-        "MetricGroup": "OS",
-        "MetricName": "Kernel_CPI"
-    },
-    {
-        "BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
-        "MetricExpr": "64 * (UNC_M_CAS_COUNT.RD + UNC_M_CAS_COUNT.WR) / 1e9 / duration_time",
-        "MetricGroup": "HPC;Mem;MemoryBW;SoC",
-        "MetricName": "DRAM_BW_Use"
+        "BriefDescription": "Branch instructions per taken branch.",
+        "MetricExpr": "BR_INST_RETIRED.ALL_BRANCHES / BR_INST_RETIRED.NEAR_TAKEN",
+        "MetricGroup": "Branches;Fed;PGO",
+        "MetricName": "tma_info_bptkbranch"
     },
     {
-        "BriefDescription": "Average latency of data read request to external memory (in nanoseconds). Accounts for demand loads and L1/L2 prefetches",
-        "MetricExpr": "1e9 * (UNC_C_TOR_OCCUPANCY.MISS_OPCODE@filter_opc\\=0x182@ / UNC_C_TOR_INSERTS.MISS_OPCODE@filter_opc\\=0x182@) / (Socket_CLKS / duration_time)",
-        "MetricGroup": "Mem;MemoryLat;SoC",
-        "MetricName": "MEM_Read_Latency"
+        "BriefDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear)",
+        "MetricExpr": "(tma_branch_mispredicts + tma_fetch_latency * tma_mispredicts_resteers / (tma_branch_resteers + tma_dsb_switches + tma_icache_misses + tma_itlb_misses + tma_lcp + tma_ms_switches)) * tma_info_slots / BR_MISP_RETIRED.ALL_BRANCHES",
+        "MetricGroup": "Bad;BrMispredicts;tma_issueBM",
+        "MetricName": "tma_info_branch_misprediction_cost",
+        "PublicDescription": "Branch Misprediction Cost: Fraction of TMA slots wasted per non-speculative branch misprediction (retired JEClear). Related metrics: tma_branch_mispredicts, tma_mispredicts_resteers"
     },
     {
-        "BriefDescription": "Average number of parallel data read requests to external memory. Accounts for demand loads and L1/L2 prefetches",
-        "MetricExpr": "UNC_C_TOR_OCCUPANCY.MISS_OPCODE@filter_opc\\=0x182@ / UNC_C_TOR_OCCUPANCY.MISS_OPCODE@filter_opc\\=0x182\\,thresh\\=1@",
-        "MetricGroup": "Mem;MemoryBW;SoC",
-        "MetricName": "MEM_Parallel_Reads"
+        "BriefDescription": "Per-Logical Processor actual clocks when the Logical Processor is active.",
+        "MetricExpr": "CPU_CLK_UNHALTED.THREAD",
+        "MetricGroup": "Pipeline",
+        "MetricName": "tma_info_clks"
     },
     {
-        "BriefDescription": "Socket actual clocks when any core is active on that socket",
-        "MetricExpr": "cbox_0@event\\=0x0@",
-        "MetricGroup": "SoC",
-        "MetricName": "Socket_CLKS"
+        "BriefDescription": "Core actual clocks when any Logical Processor is active on the Physical Core",
+        "MetricExpr": "(CPU_CLK_UNHALTED.THREAD / 2 * (1 + CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / CPU_CLK_UNHALTED.REF_XCLK) if #core_wide < 1 else (CPU_CLK_UNHALTED.THREAD_ANY / 2 if #SMT_on else tma_info_clks))",
+        "MetricGroup": "SMT",
+        "MetricName": "tma_info_core_clks"
     },
     {
-        "BriefDescription": "Instructions per Far Branch ( Far Branches apply upon transition from application to operating system, handling interrupts, exceptions) [lower number means higher occurrence rate]",
-        "MetricExpr": "INST_RETIRED.ANY / BR_INST_RETIRED.FAR_BRANCH:u",
-        "MetricGroup": "Branches;OS",
-        "MetricName": "IpFarBranch"
+        "BriefDescription": "Instructions Per Cycle across hyper-threads (per physical core)",
+        "MetricExpr": "INST_RETIRED.ANY / tma_info_core_clks",
+        "MetricGroup": "Ret;SMT;TmaL1;tma_L1_group",
+        "MetricName": "tma_info_coreipc"
     },
     {
-        "BriefDescription": "Uncore frequency per die [GHZ]",
-        "MetricExpr": "Socket_CLKS / #num_dies / duration_time / 1e9",
-        "MetricGroup": "SoC",
-        "MetricName": "UNCORE_FREQ"
+        "BriefDescription": "Cycles Per Instruction (per Logical Processor)",
+        "MetricExpr": "1 / tma_info_ipc",
+        "MetricGroup": "Mem;Pipeline",
+        "MetricName": "tma_info_cpi"
     },
     {
-        "BriefDescription": "CPU operating frequency (in GHz)",
-        "MetricExpr": "CPU_CLK_UNHALTED.THREAD / CPU_CLK_UNHALTED.REF_TSC * #SYSTEM_TSC_FREQ / 1e9 / duration_time",
-        "MetricName": "cpu_operating_frequency",
-        "ScaleUnit": "1GHz"
+        "BriefDescription": "Average CPU Utilization",
+        "MetricExpr": "CPU_CLK_UNHALTED.REF_TSC / TSC",
+        "MetricGroup": "HPC;Summary",
+        "MetricName": "tma_info_cpu_utilization"
     },
     {
-        "BriefDescription": "Cycles per instruction retired; indicating how much time each executed instruction took; in units of cycles.",
-        "MetricExpr": "CPU_CLK_UNHALTED.THREAD / INST_RETIRED.ANY",
-        "MetricName": "cpi",
-        "ScaleUnit": "1per_instr"
+        "BriefDescription": "Average Parallel L2 cache miss data reads",
+        "MetricExpr": "OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD / OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD",
+        "MetricGroup": "Memory_BW;Offcore",
+        "MetricName": "tma_info_data_l2_mlp"
     },
     {
-        "BriefDescription": "The ratio of number of completed memory load instructions to the total number completed instructions",
-        "MetricExpr": "MEM_UOPS_RETIRED.ALL_LOADS / INST_RETIRED.ANY",
-        "MetricName": "loads_per_instr",
-        "ScaleUnit": "1per_instr"
+        "BriefDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]",
+        "MetricExpr": "64 * (UNC_M_CAS_COUNT.RD + UNC_M_CAS_COUNT.WR) / 1e9 / duration_time",
+        "MetricGroup": "HPC;Mem;MemoryBW;SoC;tma_issueBW",
+        "MetricName": "tma_info_dram_bw_use",
+        "PublicDescription": "Average external Memory Bandwidth Use for reads and writes [GB / sec]. Related metrics: tma_fb_full, tma_mem_bandwidth, tma_sq_full"
     },
     {
-        "BriefDescription": "The ratio of number of completed memory store instructions to the total number completed instructions",
-        "MetricExpr": "MEM_UOPS_RETIRED.ALL_STORES / INST_RETIRED.ANY",
-        "MetricName": "stores_per_instr",
-        "ScaleUnit": "1per_instr"
+        "BriefDescription": "Fraction of Uops delivered by the DSB (aka Decoded ICache; or Uop Cache)",
+        "MetricExpr": "IDQ.DSB_UOPS / (IDQ.DSB_UOPS + LSD.UOPS + IDQ.MITE_UOPS + IDQ.MS_UOPS)",
+        "MetricGroup": "DSB;Fed;FetchBW;tma_issueFB",
+        "MetricName": "tma_info_dsb_coverage",
+        "MetricThreshold": "tma_info_dsb_coverage < 0.7 & tma_info_ipc / 4 > 0.35",
+        "PublicDescription": "Fraction of Uops delivered by the DSB (aka Decoded ICache; or Uop Cache). Related metrics: tma_dsb_switches, tma_fetch_bandwidth, tma_info_iptb, tma_lcp"
     },
     {
-        "BriefDescription": "Ratio of number of requests missing L1 data cache (includes data+rfo w/ prefetches) to the total number of completed instructions",
-        "MetricExpr": "L1D.REPLACEMENT / INST_RETIRED.ANY",
-        "MetricName": "l1d_mpi",
-        "ScaleUnit": "1per_instr"
+        "BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-thread",
+        "MetricExpr": "UOPS_EXECUTED.THREAD / cpu@UOPS_EXECUTED.THREAD\\,cmask\\=1@",
+        "MetricGroup": "Cor;Pipeline;PortsUtil;SMT",
+        "MetricName": "tma_info_execute"
     },
     {
-        "BriefDescription": "Ratio of number of demand load requests hitting in L1 data cache to the total number of completed instructions",
-        "MetricExpr": "MEM_LOAD_UOPS_RETIRED.L1_HIT / INST_RETIRED.ANY",
-        "MetricName": "l1d_demand_data_read_hits_per_instr",
-        "ScaleUnit": "1per_instr"
+        "BriefDescription": "The ratio of Executed- by Issued-Uops",
+        "MetricExpr": "UOPS_EXECUTED.THREAD / UOPS_ISSUED.ANY",
+        "MetricGroup": "Cor;Pipeline",
+        "MetricName": "tma_info_execute_per_issue",
+        "PublicDescription": "The ratio of Executed- by Issued-Uops. Ratio > 1 suggests high rate of uop micro-fusions. Ratio < 1 suggest high rate of \"execute\" at rename stage."
     },
     {
-        "BriefDescription": "Ratio of number of code read requests missing in L1 instruction cache (includes prefetches) to the total number of completed instructions",
-        "MetricExpr": "L2_RQSTS.ALL_CODE_RD / INST_RETIRED.ANY",
-        "MetricName": "l1_i_code_read_misses_with_prefetches_per_instr",
-        "ScaleUnit": "1per_instr"
+        "BriefDescription": "Floating Point Operations Per Cycle",
+        "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / tma_info_core_clks",
+        "MetricGroup": "Flops;Ret",
+        "MetricName": "tma_info_flopc"
     },
     {
-        "BriefDescription": "Ratio of number of completed demand load requests hitting in L2 cache to the total number of completed instructions",
-        "MetricExpr": "MEM_LOAD_UOPS_RETIRED.L2_HIT / INST_RETIRED.ANY",
-        "MetricName": "l2_demand_data_read_hits_per_instr",
-        "ScaleUnit": "1per_instr"
+        "BriefDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width)",
+        "MetricExpr": "(cpu@FP_ARITH_INST_RETIRED.SCALAR_SINGLE\\,umask\\=0x03@ + cpu@FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE\\,umask\\=0x3c@) / (2 * tma_info_core_clks)",
+        "MetricGroup": "Cor;Flops;HPC",
+        "MetricName": "tma_info_fp_arith_utilization",
+        "PublicDescription": "Actual per-core usage of the Floating Point non-X87 execution units (regardless of precision or vector-width). Values > 1 are possible due to ([BDW+] Fused-Multiply Add (FMA) counting - common; [ADL+] use all of ADD/MUL/FMA in Scalar or 128/256-bit vectors - less common)."
     },
     {
-        "BriefDescription": "Ratio of number of requests missing L2 cache (includes code+data+rfo w/ prefetches) to the total number of completed instructions",
-        "MetricExpr": "L2_LINES_IN.ALL / INST_RETIRED.ANY",
-        "MetricName": "l2_mpi",
-        "ScaleUnit": "1per_instr"
+        "BriefDescription": "Giga Floating Point Operations Per Second",
+        "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / 1e9 / duration_time",
+        "MetricGroup": "Cor;Flops;HPC",
+        "MetricName": "tma_info_gflops",
+        "PublicDescription": "Giga Floating Point Operations Per Second. Aggregate across all supported options of: FP precisions, scalar and vector instructions, vector-width and AMX engine."
     },
     {
-        "BriefDescription": "Ratio of number of completed data read request missing L2 cache to the total number of completed instructions",
-        "MetricExpr": "MEM_LOAD_UOPS_RETIRED.L2_MISS / INST_RETIRED.ANY",
-        "MetricName": "l2_demand_data_read_mpi",
-        "ScaleUnit": "1per_instr"
+        "BriefDescription": "Instruction-Level-Parallelism (average number of uops executed when there is execution) per-core",
+        "MetricExpr": "UOPS_EXECUTED.THREAD / (cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ / 2 if #SMT_on else UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC)",
+        "MetricGroup": "Backend;Cor;Pipeline;PortsUtil",
+        "MetricName": "tma_info_ilp"
     },
     {
-        "BriefDescription": "Ratio of number of code read request missing L2 cache to the total number of completed instructions",
-        "MetricExpr": "L2_RQSTS.CODE_RD_MISS / INST_RETIRED.ANY",
-        "MetricName": "l2_demand_code_mpi",
-        "ScaleUnit": "1per_instr"
+        "BriefDescription": "Total number of retired Instructions",
+        "MetricExpr": "INST_RETIRED.ANY",
+        "MetricGroup": "Summary;TmaL1;tma_L1_group",
+        "MetricName": "tma_info_instructions",
+        "PublicDescription": "Total number of retired Instructions. Sample with: INST_RETIRED.PREC_DIST"
     },
     {
-        "BriefDescription": "Ratio of number of data read requests missing last level core cache (includes demand w/ prefetches) to the total number of completed instructions",
-        "MetricExpr": "(cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@ + cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x192@) / INST_RETIRED.ANY",
-        "MetricName": "llc_data_read_mpi_demand_plus_prefetch",
-        "ScaleUnit": "1per_instr"
+        "BriefDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate)",
+        "MetricExpr": "INST_RETIRED.ANY / (cpu@FP_ARITH_INST_RETIRED.SCALAR_SINGLE\\,umask\\=0x03@ + cpu@FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE\\,umask\\=0x3c@)",
+        "MetricGroup": "Flops;InsType",
+        "MetricName": "tma_info_iparith",
+        "MetricThreshold": "tma_info_iparith < 10",
+        "PublicDescription": "Instructions per FP Arithmetic instruction (lower number means higher occurrence rate). May undercount due to FMA double counting. Approximated prior to BDW."
     },
     {
-        "BriefDescription": "Ratio of number of code read requests missing last level core cache (includes demand w/ prefetches) to the total number of completed instructions",
-        "MetricExpr": "(cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x181@ + cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x191@) / INST_RETIRED.ANY",
-        "MetricName": "llc_code_read_mpi_demand_plus_prefetch",
-        "ScaleUnit": "1per_instr"
+        "BriefDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate)",
+        "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE)",
+        "MetricGroup": "Flops;FpVector;InsType",
+        "MetricName": "tma_info_iparith_avx128",
+        "MetricThreshold": "tma_info_iparith_avx128 < 10",
+        "PublicDescription": "Instructions per FP Arithmetic AVX/SSE 128-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
     },
     {
-        "BriefDescription": "Average latency of a last level cache (LLC) demand and prefetch data read miss (read memory access) in nano seconds",
-        "MetricExpr": "1e9 * (cbox@UNC_C_TOR_OCCUPANCY.MISS_OPCODE\\,filter_opc\\=0x182@ / cbox@UNC_C_TOR_INSERTS.MISS_OPCODE\\,filter_opc\\=0x182@) / (UNC_C_CLOCKTICKS / (#num_cores / #num_packages * #num_packages)) * duration_time",
-        "MetricName": "llc_data_read_demand_plus_prefetch_miss_latency",
-        "ScaleUnit": "1ns"
+        "BriefDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate)",
+        "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
+        "MetricGroup": "Flops;FpVector;InsType",
+        "MetricName": "tma_info_iparith_avx256",
+        "MetricThreshold": "tma_info_iparith_avx256 < 10",
+        "PublicDescription": "Instructions per FP Arithmetic AVX* 256-bit instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
     },
     {
-        "BriefDescription": "Average latency of a last level cache (LLC) demand and prefetch data read miss (read memory access) addressed to local memory in nano seconds",
-        "MetricExpr": "1e9 * (cbox@UNC_C_TOR_OCCUPANCY.MISS_LOCAL_OPCODE\\,filter_opc\\=0x182@ / cbox@UNC_C_TOR_INSERTS.MISS_LOCAL_OPCODE\\,filter_opc\\=0x182@) / (UNC_C_CLOCKTICKS / (#num_cores / #num_packages * #num_packages)) * duration_time",
-        "MetricName": "llc_data_read_demand_plus_prefetch_miss_latency_for_local_requests",
-        "ScaleUnit": "1ns"
+        "BriefDescription": "Instructions per FP Arithmetic Scalar Double-Precision instruction (lower number means higher occurrence rate)",
+        "MetricExpr": "INST_RETIRED.ANY / FP_ARITH_INST_RETIRED.SCALAR_DOUBLE",
+        "MetricGroup": "Flops;FpScalar;InsType",
+        "MetricName": "tma_info_iparith_scalar_dp",
+        "MetricThreshold": "tma_info_iparith_scalar_dp < 10",
+        "PublicDescription": "Instructions per FP Arithmetic Scalar Double-Precision instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
     },
     {
-        "BriefDescription": "Average latency of a last level cache (LLC) demand and prefetch data read miss (read memory access) addressed to remote memory in nano seconds",
-        "MetricExpr": "1e9 * (cbox@UNC_C_TOR_OCCUPANCY.MISS_REMOTE_OPCODE\\,filter_opc\\=0x182@ / cbox@UNC_C_TOR_INSERTS.MISS_REMOTE_OPCODE\\,filter_opc\\=0x182@) / (UNC_C_CLOCKTICKS / (#num_cores / #num_packages * #num_packages)) * duration_time",
-        "MetricName": "llc_data_read_demand_plus_prefetch_miss_latency_for_remote_requests",
-        "ScaleUnit": "1ns"
+        "BriefDescription": "Instructions per FP Arithmetic Scalar Single-Precision instruction (lower number means higher occurrence rate)",
+        "MetricExpr": "INST_RETIRED.ANY / FP_ARITH_INST_RETIRED.SCALAR_SINGLE",
+        "MetricGroup": "Flops;FpScalar;InsType",
+        "MetricName": "tma_info_iparith_scalar_sp",
+        "MetricThreshold": "tma_info_iparith_scalar_sp < 10",
+        "PublicDescription": "Instructions per FP Arithmetic Scalar Single-Precision instruction (lower number means higher occurrence rate). May undercount due to FMA double counting."
     },
     {
-        "BriefDescription": "Ratio of number of completed page walks (for all page sizes) caused by a code fetch to the total number of completed instructions",
-        "MetricExpr": "ITLB_MISSES.WALK_COMPLETED / INST_RETIRED.ANY",
-        "MetricName": "itlb_mpi",
-        "PublicDescription": "Ratio of number of completed page walks (for all page sizes) caused by a code fetch to the total number of completed instructions. This implies it missed in the ITLB (Instruction TLB) and further levels of TLB.",
-        "ScaleUnit": "1per_instr"
+        "BriefDescription": "Instructions per Branch (lower number means higher occurrence rate)",
+        "MetricExpr": "INST_RETIRED.ANY / BR_INST_RETIRED.ALL_BRANCHES",
+        "MetricGroup": "Branches;Fed;InsType",
+        "MetricName": "tma_info_ipbranch",
+        "MetricThreshold": "tma_info_ipbranch < 8"
     },
     {
-        "BriefDescription": "Ratio of number of completed page walks (for 2 megabyte and 4 megabyte page sizes) caused by a code fetch to the total number of completed instructions",
-        "MetricExpr": "ITLB_MISSES.WALK_COMPLETED_2M_4M / INST_RETIRED.ANY",
-        "MetricName": "itlb_large_page_mpi",
-        "PublicDescription": "Ratio of number of completed page walks (for 2 megabyte and 4 megabyte page sizes) caused by a code fetch to the total number of completed instructions. This implies it missed in the Instruction Translation Lookaside Buffer (ITLB) and further levels of TLB.",
-        "ScaleUnit": "1per_instr"
+        "BriefDescription": "Instructions Per Cycle (per Logical Processor)",
+        "MetricExpr": "INST_RETIRED.ANY / tma_info_clks",
+        "MetricGroup": "Ret;Summary",
+        "MetricName": "tma_info_ipc"
     },
     {
-        "BriefDescription": "Ratio of number of completed page walks (for all page sizes) caused by demand data loads to the total number of completed instructions",
-        "MetricExpr": "DTLB_LOAD_MISSES.WALK_COMPLETED / INST_RETIRED.ANY",
-        "MetricName": "dtlb_load_mpi",
-        "PublicDescription": "Ratio of number of completed page walks (for all page sizes) caused by demand data loads to the total number of completed instructions. This implies it missed in the DTLB and further levels of TLB.",
-        "ScaleUnit": "1per_instr"
+        "BriefDescription": "Instructions per (near) call (lower number means higher occurrence rate)",
+        "MetricExpr": "INST_RETIRED.ANY / BR_INST_RETIRED.NEAR_CALL",
+        "MetricGroup": "Branches;Fed;PGO",
+        "MetricName": "tma_info_ipcall",
+        "MetricThreshold": "tma_info_ipcall < 200"
     },
     {
-        "BriefDescription": "Ratio of number of completed page walks (for all page sizes) caused by demand data stores to the total number of completed instructions",
-        "MetricExpr": "DTLB_STORE_MISSES.WALK_COMPLETED / INST_RETIRED.ANY",
-        "MetricName": "dtlb_store_mpi",
-        "PublicDescription": "Ratio of number of completed page walks (for all page sizes) caused by demand data stores to the total number of completed instructions. This implies it missed in the DTLB and further levels of TLB.",
-        "ScaleUnit": "1per_instr"
+        "BriefDescription": "Instructions per Far Branch ( Far Branches apply upon transition from application to operating system, handling interrupts, exceptions) [lower number means higher occurrence rate]",
+        "MetricExpr": "INST_RETIRED.ANY / BR_INST_RETIRED.FAR_BRANCH:u",
+        "MetricGroup": "Branches;OS",
+        "MetricName": "tma_info_ipfarbranch",
+        "MetricThreshold": "tma_info_ipfarbranch < 1e6"
     },
     {
-        "BriefDescription": "Memory read that miss the last level cache (LLC) addressed to local DRAM as a percentage of total memory read accesses, does not include LLC prefetches.",
-        "MetricExpr": "cbox@UNC_C_TOR_INSERTS.MISS_LOCAL_OPCODE\\,filter_opc\\=0x182@ / (cbox@UNC_C_TOR_INSERTS.MISS_LOCAL_OPCODE\\,filter_opc\\=0x182@ + cbox@UNC_C_TOR_INSERTS.MISS_REMOTE_OPCODE\\,filter_opc\\=0x182@)",
-        "MetricName": "numa_reads_addressed_to_local_dram",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Instructions per Floating Point (FP) Operation (lower number means higher occurrence rate)",
+        "MetricExpr": "INST_RETIRED.ANY / (FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE + 2 * FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + 4 * (FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE) + 8 * FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE)",
+        "MetricGroup": "Flops;InsType",
+        "MetricName": "tma_info_ipflop",
+        "MetricThreshold": "tma_info_ipflop < 10"
     },
     {
-        "BriefDescription": "Memory reads that miss the last level cache (LLC) addressed to remote DRAM as a percentage of total memory read accesses, does not include LLC prefetches.",
-        "MetricExpr": "cbox@UNC_C_TOR_INSERTS.MISS_REMOTE_OPCODE\\,filter_opc\\=0x182@ / (cbox@UNC_C_TOR_INSERTS.MISS_LOCAL_OPCODE\\,filter_opc\\=0x182@ + cbox@UNC_C_TOR_INSERTS.MISS_REMOTE_OPCODE\\,filter_opc\\=0x182@)",
-        "MetricName": "numa_reads_addressed_to_remote_dram",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Instructions per Load (lower number means higher occurrence rate)",
+        "MetricExpr": "INST_RETIRED.ANY / MEM_UOPS_RETIRED.ALL_LOADS",
+        "MetricGroup": "InsType",
+        "MetricName": "tma_info_ipload",
+        "MetricThreshold": "tma_info_ipload < 3"
     },
     {
-        "BriefDescription": "Uncore operating frequency in GHz",
-        "MetricExpr": "UNC_C_CLOCKTICKS / (#num_cores / #num_packages * #num_packages) / 1e9 / duration_time",
-        "MetricName": "uncore_frequency",
-        "ScaleUnit": "1GHz"
+        "BriefDescription": "Instructions per retired mispredicts for indirect CALL or JMP branches (lower number means higher occurrence rate).",
+        "MetricExpr": "tma_info_instructions / (UOPS_RETIRED.RETIRE_SLOTS / UOPS_ISSUED.ANY * cpu@BR_MISP_EXEC.ALL_BRANCHES\\,umask\\=0xE4@)",
+        "MetricGroup": "Bad;BrMispredicts",
+        "MetricName": "tma_info_ipmisp_indirect",
+        "MetricThreshold": "tma_info_ipmisp_indirect < 1e3"
     },
     {
-        "BriefDescription": "Intel(R) Quick Path Interconnect (QPI) data transmit bandwidth (MB/sec)",
-        "MetricExpr": "UNC_Q_TxL_FLITS_G0.DATA * 8 / 1e6 / duration_time",
-        "MetricName": "qpi_data_transmit_bw",
-        "ScaleUnit": "1MB/s"
+        "BriefDescription": "Number of Instructions per non-speculative Branch Misprediction (JEClear) (lower number means higher occurrence rate)",
+        "MetricExpr": "INST_RETIRED.ANY / BR_MISP_RETIRED.ALL_BRANCHES",
+        "MetricGroup": "Bad;BadSpec;BrMispredicts",
+        "MetricName": "tma_info_ipmispredict",
+        "MetricThreshold": "tma_info_ipmispredict < 200"
     },
     {
-        "BriefDescription": "DDR memory read bandwidth (MB/sec)",
-        "MetricExpr": "UNC_M_CAS_COUNT.RD * 64 / 1e6 / duration_time",
-        "MetricName": "memory_bandwidth_read",
-        "ScaleUnit": "1MB/s"
+        "BriefDescription": "Instructions per Store (lower number means higher occurrence rate)",
+        "MetricExpr": "INST_RETIRED.ANY / MEM_UOPS_RETIRED.ALL_STORES",
+        "MetricGroup": "InsType",
+        "MetricName": "tma_info_ipstore",
+        "MetricThreshold": "tma_info_ipstore < 8"
     },
     {
-        "BriefDescription": "DDR memory write bandwidth (MB/sec)",
-        "MetricExpr": "UNC_M_CAS_COUNT.WR * 64 / 1e6 / duration_time",
-        "MetricName": "memory_bandwidth_write",
-        "ScaleUnit": "1MB/s"
+        "BriefDescription": "Instruction per taken branch",
+        "MetricExpr": "INST_RETIRED.ANY / BR_INST_RETIRED.NEAR_TAKEN",
+        "MetricGroup": "Branches;Fed;FetchBW;Frontend;PGO;tma_issueFB",
+        "MetricName": "tma_info_iptb",
+        "MetricThreshold": "tma_info_iptb < 9",
+        "PublicDescription": "Instruction per taken branch. Related metrics: tma_dsb_switches, tma_fetch_bandwidth, tma_info_dsb_coverage, tma_lcp"
     },
     {
-        "BriefDescription": "DDR memory bandwidth (MB/sec)",
-        "MetricExpr": "(UNC_M_CAS_COUNT.RD + UNC_M_CAS_COUNT.WR) * 64 / 1e6 / duration_time",
-        "MetricName": "memory_bandwidth_total",
-        "ScaleUnit": "1MB/s"
+        "BriefDescription": "Instructions per speculative Unknown Branch Misprediction (BAClear) (lower number means higher occurrence rate)",
+        "MetricExpr": "tma_info_instructions / BACLEARS.ANY",
+        "MetricGroup": "Fed",
+        "MetricName": "tma_info_ipunknown_branch"
     },
     {
-        "BriefDescription": "Bandwidth of IO reads that are initiated by end device controllers that are requesting memory from the CPU.",
-        "MetricExpr": "cbox@UNC_C_TOR_INSERTS.OPCODE\\,filter_opc\\=0x19e@ * 64 / 1e6 / duration_time",
-        "MetricName": "io_bandwidth_disk_or_network_writes",
-        "ScaleUnit": "1MB/s"
+        "BriefDescription": "Cycles Per Instruction for the Operating System (OS) Kernel mode",
+        "MetricExpr": "CPU_CLK_UNHALTED.THREAD_P:k / INST_RETIRED.ANY_P:k",
+        "MetricGroup": "OS",
+        "MetricName": "tma_info_kernel_cpi"
     },
     {
-        "BriefDescription": "Bandwidth of IO writes that are initiated by end device controllers that are writing memory to the CPU.",
-        "MetricExpr": "(cbox@UNC_C_TOR_INSERTS.OPCODE\\,filter_opc\\=0x1c8\\,filter_tid\\=0x3e@ + cbox@UNC_C_TOR_INSERTS.OPCODE\\,filter_opc\\=0x180\\,filter_tid\\=0x3e@) * 64 / 1e6 / duration_time",
-        "MetricName": "io_bandwidth_disk_or_network_reads",
-        "ScaleUnit": "1MB/s"
+        "BriefDescription": "Fraction of cycles spent in the Operating System (OS) Kernel mode",
+        "MetricExpr": "CPU_CLK_UNHALTED.THREAD_P:k / CPU_CLK_UNHALTED.THREAD",
+        "MetricGroup": "OS",
+        "MetricName": "tma_info_kernel_utilization",
+        "MetricThreshold": "tma_info_kernel_utilization > 0.05"
     },
     {
-        "BriefDescription": "Uops delivered from decoded instruction cache (decoded stream buffer or DSB) as a percent of total uops delivered to Instruction Decode Queue",
-        "MetricExpr": "IDQ.DSB_UOPS / UOPS_ISSUED.ANY",
-        "MetricName": "percent_uops_delivered_from_decoded_icache",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Average per-core data fill bandwidth to the L1 data cache [GB / sec]",
+        "MetricExpr": "64 * L1D.REPLACEMENT / 1e9 / duration_time",
+        "MetricGroup": "Mem;MemoryBW",
+        "MetricName": "tma_info_l1d_cache_fill_bw"
     },
     {
-        "BriefDescription": "Uops delivered from legacy decode pipeline (Micro-instruction Translation Engine or MITE) as a percent of total uops delivered to Instruction Decode Queue",
-        "MetricExpr": "IDQ.MITE_UOPS / UOPS_ISSUED.ANY",
-        "MetricName": "percent_uops_delivered_from_legacy_decode_pipeline",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Average per-thread data fill bandwidth to the L1 data cache [GB / sec]",
+        "MetricExpr": "tma_info_l1d_cache_fill_bw",
+        "MetricGroup": "Mem;MemoryBW",
+        "MetricName": "tma_info_l1d_cache_fill_bw_1t"
     },
     {
-        "BriefDescription": "Uops delivered from microcode sequencer (MS) as a percent of total uops delivered to Instruction Decode Queue",
-        "MetricExpr": "IDQ.MS_UOPS / UOPS_ISSUED.ANY",
-        "MetricName": "percent_uops_delivered_from_microcode_sequencer",
-        "ScaleUnit": "100%"
+        "BriefDescription": "L1 cache true misses per kilo instruction for retired demand loads",
+        "MetricExpr": "1e3 * MEM_LOAD_UOPS_RETIRED.L1_MISS / INST_RETIRED.ANY",
+        "MetricGroup": "CacheMisses;Mem",
+        "MetricName": "tma_info_l1mpki"
     },
     {
-        "BriefDescription": "Uops delivered from loop stream detector(LSD) as a percent of total uops delivered to Instruction Decode Queue",
-        "MetricExpr": "LSD.UOPS / UOPS_ISSUED.ANY",
-        "MetricName": "percent_uops_delivered_from_loop_stream_detector",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Average per-core data fill bandwidth to the L2 cache [GB / sec]",
+        "MetricExpr": "64 * L2_LINES_IN.ALL / 1e9 / duration_time",
+        "MetricGroup": "Mem;MemoryBW",
+        "MetricName": "tma_info_l2_cache_fill_bw"
     },
     {
-        "BriefDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend",
-        "MetricExpr": "IDQ_UOPS_NOT_DELIVERED.CORE / SLOTS",
-        "MetricGroup": "PGO;TopdownL1;tma_L1_group;tma_L1_group",
-        "MetricName": "tma_frontend_bound",
-        "PublicDescription": "This category represents fraction of slots where the processor's Frontend undersupplies its Backend. Frontend denotes the first part of the processor core responsible to fetch operations that are executed later on by the Backend part. Within the Frontend; a branch predictor predicts the next address to fetch; cache-lines are fetched from the memory subsystem; parsed into instructions; and lastly decoded into micro-operations (uops). Ideally the Frontend can issue Machine_Width uops every cycle to the Backend. Frontend Bound denotes unutilized issue-slots when there is no Backend stall; i.e. bubbles where Frontend delivered no uops while Backend could have accepted them. For example; stalls due to instruction-cache misses would be categorized under Frontend Bound.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Average per-thread data fill bandwidth to the L2 cache [GB / sec]",
+        "MetricExpr": "tma_info_l2_cache_fill_bw",
+        "MetricGroup": "Mem;MemoryBW",
+        "MetricName": "tma_info_l2_cache_fill_bw_1t"
     },
     {
-        "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues",
-        "MetricExpr": "4 * IDQ_UOPS_NOT_DELIVERED.CYCLES_0_UOPS_DELIV.CORE / SLOTS",
-        "MetricGroup": "Frontend;TopdownL2;tma_L2_group;tma_L2_group;tma_frontend_bound_group",
-        "MetricName": "tma_fetch_latency",
-        "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend latency issues.  For example; instruction-cache misses; iTLB misses or fetch stalls after a branch misprediction are categorized under Frontend Latency. In such cases; the Frontend eventually delivers no uops for some period.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "L2 cache hits per kilo instruction for all request types (including speculative)",
+        "MetricExpr": "1e3 * (L2_RQSTS.REFERENCES - L2_RQSTS.MISS) / INST_RETIRED.ANY",
+        "MetricGroup": "CacheMisses;Mem",
+        "MetricName": "tma_info_l2hpki_all"
     },
     {
-        "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to instruction cache misses.",
-        "MetricExpr": "ICACHE.IFDATA_STALL / CPU_CLK_UNHALTED.THREAD",
-        "MetricGroup": "BigFoot;FetchLat;IcMiss;TopdownL3;tma_L3_group;tma_fetch_latency_group",
-        "MetricName": "tma_icache_misses",
-        "ScaleUnit": "100%"
+        "BriefDescription": "L2 cache hits per kilo instruction for all demand loads  (including speculative)",
+        "MetricExpr": "1e3 * L2_RQSTS.DEMAND_DATA_RD_HIT / INST_RETIRED.ANY",
+        "MetricGroup": "CacheMisses;Mem",
+        "MetricName": "tma_info_l2hpki_load"
     },
     {
-        "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses.",
-        "MetricExpr": "(14 * ITLB_MISSES.STLB_HIT + cpu@ITLB_MISSES.WALK_DURATION\\,cmask\\=0x1@ + 7 * ITLB_MISSES.WALK_COMPLETED) / CPU_CLK_UNHALTED.THREAD",
-        "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_L3_group;tma_fetch_latency_group",
-        "MetricName": "tma_itlb_misses",
-        "ScaleUnit": "100%"
+        "BriefDescription": "L2 cache true misses per kilo instruction for retired demand loads",
+        "MetricExpr": "1e3 * MEM_LOAD_UOPS_RETIRED.L2_MISS / INST_RETIRED.ANY",
+        "MetricGroup": "Backend;CacheMisses;Mem",
+        "MetricName": "tma_info_l2mpki"
     },
     {
-        "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers",
-        "MetricExpr": "12 * (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY) / CPU_CLK_UNHALTED.THREAD",
-        "MetricGroup": "FetchLat;TopdownL3;tma_L3_group;tma_fetch_latency_group",
-        "MetricName": "tma_branch_resteers",
-        "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers. Branch Resteers estimates the Frontend delay in fetching operations from corrected path; following all sorts of miss-predicted branches. For example; branchy code with lots of miss-predictions might get categorized under Branch Resteers. Note the value of this node may overlap with its siblings.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all request types (including speculative)",
+        "MetricExpr": "1e3 * L2_RQSTS.MISS / INST_RETIRED.ANY",
+        "MetricGroup": "CacheMisses;Mem;Offcore",
+        "MetricName": "tma_info_l2mpki_all"
     },
     {
-        "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage. ",
-        "MetricExpr": "BR_MISP_RETIRED.ALL_BRANCHES * tma_branch_resteers / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY)",
-        "MetricGroup": "BadSpec;BrMispredicts;TopdownL4;tma_L4_group;tma_branch_resteers_group",
-        "MetricName": "tma_mispredicts_resteers",
-        "ScaleUnit": "100%"
+        "BriefDescription": "L2 cache ([RKL+] true) misses per kilo instruction for all demand loads  (including speculative)",
+        "MetricExpr": "1e3 * L2_RQSTS.DEMAND_DATA_RD_MISS / INST_RETIRED.ANY",
+        "MetricGroup": "CacheMisses;Mem",
+        "MetricName": "tma_info_l2mpki_load"
     },
     {
-        "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Machine Clears. ",
-        "MetricExpr": "MACHINE_CLEARS.COUNT * tma_branch_resteers / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY)",
-        "MetricGroup": "BadSpec;MachineClears;TopdownL4;tma_L4_group;tma_branch_resteers_group",
-        "MetricName": "tma_clears_resteers",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Average per-thread data access bandwidth to the L3 cache [GB / sec]",
+        "MetricExpr": "0",
+        "MetricGroup": "Mem;MemoryBW;Offcore",
+        "MetricName": "tma_info_l3_cache_access_bw_1t"
     },
     {
-        "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears",
-        "MetricExpr": "tma_branch_resteers - tma_mispredicts_resteers - tma_clears_resteers",
-        "MetricGroup": "BigFoot;FetchLat;TopdownL4;tma_L4_group;tma_branch_resteers_group",
-        "MetricName": "tma_unknown_branches",
-        "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears. These are fetched branches the Branch Prediction Unit was unable to recognize (First fetch or hitting BPU capacity limit).",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Average per-core data fill bandwidth to the L3 cache [GB / sec]",
+        "MetricExpr": "64 * LONGEST_LAT_CACHE.MISS / 1e9 / duration_time",
+        "MetricGroup": "Mem;MemoryBW",
+        "MetricName": "tma_info_l3_cache_fill_bw"
     },
     {
-        "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines",
-        "MetricExpr": "DSB2MITE_SWITCHES.PENALTY_CYCLES / CPU_CLK_UNHALTED.THREAD",
-        "MetricGroup": "DSBmiss;FetchLat;TopdownL3;tma_L3_group;tma_fetch_latency_group",
-        "MetricName": "tma_dsb_switches",
-        "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to switches from DSB to MITE pipelines. The DSB (decoded i-cache) is a Uop Cache where the front-end directly delivers Uops (micro operations) avoiding heavy x86 decoding. The DSB pipeline has shorter latency and delivered higher bandwidth than the MITE (legacy instruction decode pipeline). Switching between the two pipelines can cause penalties hence this metric measures the exposed penalty.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Average per-thread data fill bandwidth to the L3 cache [GB / sec]",
+        "MetricExpr": "tma_info_l3_cache_fill_bw",
+        "MetricGroup": "Mem;MemoryBW",
+        "MetricName": "tma_info_l3_cache_fill_bw_1t"
     },
     {
-        "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
-        "MetricExpr": "ILD_STALL.LCP / CPU_CLK_UNHALTED.THREAD",
-        "MetricGroup": "FetchLat;TopdownL3;tma_L3_group;tma_fetch_latency_group",
-        "MetricName": "tma_lcp",
-        "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "L3 cache true misses per kilo instruction for retired demand loads",
+        "MetricExpr": "1e3 * MEM_LOAD_UOPS_RETIRED.L3_MISS / INST_RETIRED.ANY",
+        "MetricGroup": "CacheMisses;Mem",
+        "MetricName": "tma_info_l3mpki"
     },
     {
-        "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
-        "MetricExpr": "2 * IDQ.MS_SWITCHES / CPU_CLK_UNHALTED.THREAD",
-        "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_L3_group;tma_fetch_latency_group",
-        "MetricName": "tma_ms_switches",
-        "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Average Latency for L2 cache miss demand Loads",
+        "MetricExpr": "OFFCORE_REQUESTS_OUTSTANDING.DEMAND_DATA_RD / OFFCORE_REQUESTS.DEMAND_DATA_RD",
+        "MetricGroup": "Memory_Lat;Offcore",
+        "MetricName": "tma_info_load_l2_miss_latency"
     },
     {
-        "BriefDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues",
-        "MetricExpr": "tma_frontend_bound - tma_fetch_latency",
-        "MetricGroup": "FetchBW;Frontend;TopdownL2;tma_L2_group;tma_L2_group;tma_frontend_bound_group",
-        "MetricName": "tma_fetch_bandwidth",
-        "PublicDescription": "This metric represents fraction of slots the CPU was stalled due to Frontend bandwidth issues.  For example; inefficiencies at the instruction decoders; or restrictions for caching in the DSB (decoded uops cache) are categorized under Fetch Bandwidth. In such cases; the Frontend typically delivers suboptimal amount of uops to the Backend.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Average Parallel L2 cache miss demand Loads",
+        "MetricExpr": "OFFCORE_REQUESTS_OUTSTANDING.DEMAND_DATA_RD / OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_DATA_RD",
+        "MetricGroup": "Memory_BW;Offcore",
+        "MetricName": "tma_info_load_l2_mlp"
     },
     {
-        "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
-        "MetricExpr": "(IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS) / CORE_CLKS / 2",
-        "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_L3_group;tma_fetch_bandwidth_group",
-        "MetricName": "tma_mite",
-        "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Actual Average Latency for L1 data-cache miss demand load operations (in core cycles)",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "L1D_PEND_MISS.PENDING / (MEM_LOAD_UOPS_RETIRED.L1_MISS + MEM_LOAD_UOPS_RETIRED.HIT_LFB)",
+        "MetricGroup": "Mem;MemoryBound;MemoryLat",
+        "MetricName": "tma_info_load_miss_real_latency"
     },
     {
-        "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline",
-        "MetricExpr": "(IDQ.ALL_DSB_CYCLES_ANY_UOPS - IDQ.ALL_DSB_CYCLES_4_UOPS) / CORE_CLKS / 2",
-        "MetricGroup": "DSB;FetchBW;TopdownL3;tma_L3_group;tma_fetch_bandwidth_group",
-        "MetricName": "tma_dsb",
-        "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to DSB (decoded uop cache) fetch pipeline.  For example; inefficient utilization of the DSB cache structure or bank conflict when reading from it; are categorized here.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Average number of parallel data read requests to external memory",
+        "MetricExpr": "UNC_C_TOR_OCCUPANCY.MISS_OPCODE@filter_opc\\=0x182@ / UNC_C_TOR_OCCUPANCY.MISS_OPCODE@filter_opc\\=0x182\\,thresh\\=1@",
+        "MetricGroup": "Mem;MemoryBW;SoC",
+        "MetricName": "tma_info_mem_parallel_reads",
+        "PublicDescription": "Average number of parallel data read requests to external memory. Accounts for demand loads and L1/L2 prefetches"
     },
     {
-        "BriefDescription": "This category represents fraction of slots wasted due to incorrect speculations",
-        "MetricExpr": "(UOPS_ISSUED.ANY - UOPS_RETIRED.RETIRE_SLOTS + 4 * (INT_MISC.RECOVERY_CYCLES_ANY / 2 if #SMT_on else INT_MISC.RECOVERY_CYCLES)) / SLOTS",
-        "MetricGroup": "TopdownL1;tma_L1_group;tma_L1_group",
-        "MetricName": "tma_bad_speculation",
-        "PublicDescription": "This category represents fraction of slots wasted due to incorrect speculations. This include slots used to issue uops that do not eventually get retired and slots for which the issue-pipeline was blocked due to recovery from earlier incorrect speculation. For example; wasted work due to miss-predicted branches are categorized under Bad Speculation category. Incorrect data speculation followed by Memory Ordering Nukes is another example.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Average latency of data read request to external memory (in nanoseconds)",
+        "MetricExpr": "1e9 * (UNC_C_TOR_OCCUPANCY.MISS_OPCODE@filter_opc\\=0x182@ / UNC_C_TOR_INSERTS.MISS_OPCODE@filter_opc\\=0x182@) / (tma_info_socket_clks / duration_time)",
+        "MetricGroup": "Mem;MemoryLat;SoC",
+        "MetricName": "tma_info_mem_read_latency",
+        "PublicDescription": "Average latency of data read request to external memory (in nanoseconds). Accounts for demand loads and L1/L2 prefetches. ([RKL+]memory-controller only)"
     },
     {
-        "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction",
-        "MetricExpr": "BR_MISP_RETIRED.ALL_BRANCHES / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT) * tma_bad_speculation",
-        "MetricGroup": "BadSpec;BrMispredicts;TopdownL2;tma_L2_group;tma_L2_group;tma_bad_speculation_group",
-        "MetricName": "tma_branch_mispredicts",
-        "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Branch Misprediction.  These slots are either wasted by uops fetched from an incorrectly speculated program path; or stalls when the out-of-order part of the machine needs to recover its state from a speculative path.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "L1D_PEND_MISS.PENDING / L1D_PEND_MISS.PENDING_CYCLES",
+        "MetricGroup": "Mem;MemoryBW;MemoryBound",
+        "MetricName": "tma_info_mlp",
+        "PublicDescription": "Memory-Level-Parallelism (average number of L1 miss demand load when there is at least one such miss. Per-Logical Processor)"
     },
     {
-        "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
-        "MetricExpr": "tma_bad_speculation - tma_branch_mispredicts",
-        "MetricGroup": "BadSpec;MachineClears;TopdownL2;tma_L2_group;tma_L2_group;tma_bad_speculation_group",
-        "MetricName": "tma_machine_clears",
-        "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears.  These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Utilization of the core's Page Walker(s) serving STLB misses triggered by instruction/Load/Store accesses",
+        "MetricExpr": "(ITLB_MISSES.WALK_DURATION + DTLB_LOAD_MISSES.WALK_DURATION + DTLB_STORE_MISSES.WALK_DURATION + 7 * (DTLB_STORE_MISSES.WALK_COMPLETED + DTLB_LOAD_MISSES.WALK_COMPLETED + ITLB_MISSES.WALK_COMPLETED)) / (2 * tma_info_core_clks)",
+        "MetricGroup": "Mem;MemoryTLB",
+        "MetricName": "tma_info_page_walks_utilization",
+        "MetricThreshold": "tma_info_page_walks_utilization > 0.5"
     },
     {
-        "BriefDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend",
-        "MetricExpr": "1 - (tma_frontend_bound + tma_bad_speculation + UOPS_RETIRED.RETIRE_SLOTS / SLOTS)",
-        "MetricGroup": "TopdownL1;tma_L1_group;tma_L1_group",
-        "MetricName": "tma_backend_bound",
-        "PublicDescription": "This category represents fraction of slots where no uops are being delivered due to a lack of required resources for accepting new uops in the Backend. Backend is the portion of the processor core where the out-of-order scheduler dispatches ready uops into their respective execution units; and once completed these uops get retired according to program order. For example; stalls due to data-cache misses or stalls due to the divider unit being overloaded are both categorized under Backend Bound. Backend Bound is further divided into two main categories: Memory Bound and Core Bound.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Average number of Uops retired in cycles where at least one uop has retired.",
+        "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / cpu@UOPS_RETIRED.RETIRE_SLOTS\\,cmask\\=1@",
+        "MetricGroup": "Pipeline;Ret",
+        "MetricName": "tma_info_retire"
     },
     {
-        "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
-        "MetricExpr": "(CYCLE_ACTIVITY.STALLS_MEM_ANY + RESOURCE_STALLS.SB) / (CYCLE_ACTIVITY.STALLS_TOTAL + UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - (UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC if INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD > 1.8 else UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC) - (RS_EVENTS.EMPTY_CYCLES if tma_fetch_latency > 0.1 else 0) + RESOURCE_STALLS.SB) * tma_backend_bound",
-        "MetricGroup": "Backend;TopdownL2;tma_L2_group;tma_L2_group;tma_backend_bound_group",
-        "MetricName": "tma_memory_bound",
-        "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck.  Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two).",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Total issue-pipeline slots (per-Physical Core till ICL; per-Logical Processor ICL onward)",
+        "MetricExpr": "4 * tma_info_core_clks",
+        "MetricGroup": "TmaL1;tma_L1_group",
+        "MetricName": "tma_info_slots"
     },
     {
-        "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
-        "MetricExpr": "max((CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS) / CPU_CLK_UNHALTED.THREAD, 0)",
-        "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_L3_group;tma_memory_bound_group",
-        "MetricName": "tma_l1_bound",
-        "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache.  The L1 data cache typically has the shortest latency.  However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Fraction of cycles where both hardware Logical Processors were active",
+        "MetricExpr": "(1 - CPU_CLK_UNHALTED.ONE_THREAD_ACTIVE / (CPU_CLK_UNHALTED.REF_XCLK_ANY / 2) if #SMT_on else 0)",
+        "MetricGroup": "SMT",
+        "MetricName": "tma_info_smt_2t_utilization"
     },
     {
-        "BriefDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses",
-        "MetricExpr": "(8 * DTLB_LOAD_MISSES.STLB_HIT + cpu@DTLB_LOAD_MISSES.WALK_DURATION\\,cmask\\=0x1@ + 7 * DTLB_LOAD_MISSES.WALK_COMPLETED) / CPU_CLK_UNHALTED.THREAD",
-        "MetricGroup": "MemoryTLB;TopdownL4;tma_L4_group;tma_l1_bound_group",
-        "MetricName": "tma_dtlb_load",
-        "PublicDescription": "This metric roughly estimates the fraction of cycles where the Data TLB (DTLB) was missed by load accesses. TLBs (Translation Look-aside Buffers) are processor caches for recently used entries out of the Page Tables that are used to map virtual- to physical-addresses by the operating system. This metric approximates the potential delay of demand loads missing the first-level data TLB (assuming worst case scenario with back to back misses to different pages). This includes hitting in the second-level TLB (STLB) as well as performing a hardware page walk on an STLB miss.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Socket actual clocks when any core is active on that socket",
+        "MetricExpr": "cbox_0@event\\=0x0@",
+        "MetricGroup": "SoC",
+        "MetricName": "tma_info_socket_clks"
     },
     {
-        "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
-        "MetricExpr": "min(13 * LD_BLOCKS.STORE_FORWARD / CPU_CLK_UNHALTED.THREAD, 1)",
-        "MetricGroup": "TopdownL4;tma_L4_group;tma_l1_bound_group",
-        "MetricName": "tma_store_fwd_blk",
-        "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Average Frequency Utilization relative nominal frequency",
+        "MetricExpr": "tma_info_clks / CPU_CLK_UNHALTED.REF_TSC",
+        "MetricGroup": "Power",
+        "MetricName": "tma_info_turbo_utilization"
     },
     {
-        "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
-        "MetricExpr": "min(MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO) / CPU_CLK_UNHALTED.THREAD, 1)",
-        "MetricGroup": "Offcore;TopdownL4;tma_L4_group;tma_l1_bound_group",
-        "MetricName": "tma_lock_latency",
-        "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them.",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Uops Per Instruction",
+        "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / INST_RETIRED.ANY",
+        "MetricGroup": "Pipeline;Ret;Retire",
+        "MetricName": "tma_info_uoppi",
+        "MetricThreshold": "tma_info_uoppi > 1.05"
     },
     {
-        "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. ",
-        "MetricExpr": "min(Load_Miss_Real_Latency * LD_BLOCKS.NO_SR / CPU_CLK_UNHALTED.THREAD, 1)",
-        "MetricGroup": "TopdownL4;tma_L4_group;tma_l1_bound_group",
-        "MetricName": "tma_split_loads",
-        "ScaleUnit": "100%"
+        "BriefDescription": "Instruction per taken branch",
+        "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / BR_INST_RETIRED.NEAR_TAKEN",
+        "MetricGroup": "Branches;Fed;FetchBW",
+        "MetricName": "tma_info_uptb",
+        "MetricThreshold": "tma_info_uptb < 6"
     },
     {
-        "BriefDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset",
-        "MetricExpr": "LD_BLOCKS_PARTIAL.ADDRESS_ALIAS / CPU_CLK_UNHALTED.THREAD",
-        "MetricGroup": "TopdownL4;tma_L4_group;tma_l1_bound_group",
-        "MetricName": "tma_4k_aliasing",
-        "PublicDescription": "This metric estimates how often memory load accesses were aliased by preceding stores (in program order) with a 4K address offset. False match is possible; which incur a few cycles load re-issue. However; the short re-issue duration is often hidden by the out-of-order core and HW optimizations; hence a user may safely ignore a high value of this metric unless it manages to propagate up into parent nodes of the hierarchy (e.g. to L1_Bound).",
+        "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses",
+        "MetricExpr": "(14 * ITLB_MISSES.STLB_HIT + cpu@ITLB_MISSES.WALK_DURATION\\,cmask\\=1@ + 7 * ITLB_MISSES.WALK_COMPLETED) / tma_info_clks",
+        "MetricGroup": "BigFoot;FetchLat;MemoryTLB;TopdownL3;tma_L3_group;tma_fetch_latency_group",
+        "MetricName": "tma_itlb_misses",
+        "MetricThreshold": "tma_itlb_misses > 0.05 & (tma_fetch_latency > 0.1 & tma_frontend_bound > 0.15)",
+        "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Instruction TLB (ITLB) misses. Sample with: ITLB_MISSES.WALK_COMPLETED",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed",
-        "MetricExpr": "Load_Miss_Real_Latency * cpu@L1D_PEND_MISS.FB_FULL\\,cmask\\=0x1@ / CPU_CLK_UNHALTED.THREAD",
-        "MetricGroup": "MemoryBW;TopdownL4;tma_L4_group;tma_l1_bound_group",
-        "MetricName": "tma_fb_full",
-        "PublicDescription": "This metric does a *rough estimation* of how often L1D Fill Buffer unavailability limited additional L1D miss memory access requests to proceed. The higher the metric value; the deeper the memory hierarchy level the misses are satisfied from (metric values >1 are valid). Often it hints on approaching bandwidth limits (to L2 cache; L3 cache or external memory).",
+        "BriefDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache",
+        "MetricExpr": "max((CYCLE_ACTIVITY.STALLS_MEM_ANY - CYCLE_ACTIVITY.STALLS_L1D_MISS) / tma_info_clks, 0)",
+        "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_L3_group;tma_issueL1;tma_issueMC;tma_memory_bound_group",
+        "MetricName": "tma_l1_bound",
+        "MetricThreshold": "tma_l1_bound > 0.1 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2)",
+        "PublicDescription": "This metric estimates how often the CPU was stalled without loads missing the L1 data cache.  The L1 data cache typically has the shortest latency.  However; in certain cases like loads blocked on older stores; a load might suffer due to high latency even though it is being satisfied by the L1. Another example is loads who miss in the TLB. These cases are characterized by execution unit stalls; while some non-completed demand load lives in the machine without having that demand load missing the L1 cache. Sample with: MEM_LOAD_UOPS_RETIRED.L1_HIT_PS;MEM_LOAD_UOPS_RETIRED.HIT_LFB_PS. Related metrics: tma_clears_resteers, tma_machine_clears, tma_microcode_sequencer, tma_ms_switches, tma_ports_utilized_1",
         "ScaleUnit": "100%"
     },
     {
         "BriefDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads",
-        "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / CPU_CLK_UNHALTED.THREAD",
+        "MetricExpr": "(CYCLE_ACTIVITY.STALLS_L1D_MISS - CYCLE_ACTIVITY.STALLS_L2_MISS) / tma_info_clks",
         "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_L3_group;tma_memory_bound_group",
         "MetricName": "tma_l2_bound",
-        "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads.  Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance.",
+        "MetricThreshold": "tma_l2_bound > 0.05 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2)",
+        "PublicDescription": "This metric estimates how often the CPU was stalled due to L2 cache accesses by loads.  Avoiding cache misses (i.e. L1 misses/L2 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L2_HIT_PS",
         "ScaleUnit": "100%"
     },
     {
         "BriefDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core",
-        "MetricExpr": "MEM_LOAD_UOPS_RETIRED.L3_HIT / (MEM_LOAD_UOPS_RETIRED.L3_HIT + 7 * MEM_LOAD_UOPS_RETIRED.L3_MISS) * CYCLE_ACTIVITY.STALLS_L2_MISS / CPU_CLK_UNHALTED.THREAD",
+        "MetricConstraint": "NO_GROUP_EVENTS_SMT",
+        "MetricExpr": "MEM_LOAD_UOPS_RETIRED.L3_HIT / (MEM_LOAD_UOPS_RETIRED.L3_HIT + 7 * MEM_LOAD_UOPS_RETIRED.L3_MISS) * CYCLE_ACTIVITY.STALLS_L2_MISS / tma_info_clks",
         "MetricGroup": "CacheMisses;MemoryBound;TmaL3mem;TopdownL3;tma_L3_group;tma_memory_bound_group",
         "MetricName": "tma_l3_bound",
-        "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core.  Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance.",
-        "ScaleUnit": "100%"
-    },
-    {
-        "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses",
-        "MetricExpr": "min((60 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM * (1 + MEM_LOAD_UOPS_RETIRED.HIT_LFB / (MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) + 43 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS * (1 + MEM_LOAD_UOPS_RETIRED.HIT_LFB / (MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD)))) / CPU_CLK_UNHALTED.THREAD, 1)",
-        "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_L4_group;tma_l3_bound_group",
-        "MetricName": "tma_contested_accesses",
-        "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to contested accesses. Contested accesses occur when data written by one Logical Processor are read by another Logical Processor on a different Physical Core. Examples of contested accesses include synchronizations such as locks; true data sharing such as modified locked variables; and false sharing.",
-        "ScaleUnit": "100%"
-    },
-    {
-        "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses",
-        "MetricExpr": "min(43 * (MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT * (1 + MEM_LOAD_UOPS_RETIRED.HIT_LFB / (MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) / CPU_CLK_UNHALTED.THREAD, 1)",
-        "MetricGroup": "Offcore;Snoop;TopdownL4;tma_L4_group;tma_l3_bound_group",
-        "MetricName": "tma_data_sharing",
-        "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling synchronizations due to data-sharing accesses. Data shared by multiple Logical Processors (even just read shared) may cause increased access latency due to cache coherency. Excessive data sharing can drastically harm multithreaded performance.",
+        "MetricThreshold": "tma_l3_bound > 0.05 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2)",
+        "PublicDescription": "This metric estimates how often the CPU was stalled due to loads accesses to L3 cache or contended with a sibling Core.  Avoiding cache misses (i.e. L2 misses/L3 hits) can improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_RETIRED.L3_HIT_PS",
         "ScaleUnit": "100%"
     },
     {
         "BriefDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited)",
-        "MetricExpr": "min(41 * (MEM_LOAD_UOPS_RETIRED.L3_HIT * (1 + MEM_LOAD_UOPS_RETIRED.HIT_LFB / (MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) / CPU_CLK_UNHALTED.THREAD, 1)",
-        "MetricGroup": "MemoryLat;TopdownL4;tma_L4_group;tma_l3_bound_group",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "41 * (MEM_LOAD_UOPS_RETIRED.L3_HIT * (1 + MEM_LOAD_UOPS_RETIRED.HIT_LFB / (MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) / tma_info_clks",
+        "MetricGroup": "MemoryLat;TopdownL4;tma_L4_group;tma_issueLat;tma_l3_bound_group",
         "MetricName": "tma_l3_hit_latency",
-        "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited).  Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance.  Note the value of this node may overlap with its siblings.",
-        "ScaleUnit": "100%"
-    },
-    {
-        "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
-        "MetricExpr": "(OFFCORE_REQUESTS_BUFFER.SQ_FULL / 2 if #SMT_on else OFFCORE_REQUESTS_BUFFER.SQ_FULL) / CORE_CLKS",
-        "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_L4_group;tma_l3_bound_group",
-        "MetricName": "tma_sq_full",
-        "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). The Super Queue is used for requests to access the L2 cache or to go out to the Uncore.",
+        "MetricThreshold": "tma_l3_hit_latency > 0.1 & (tma_l3_bound > 0.05 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric represents fraction of cycles with demand load accesses that hit the L3 cache under unloaded scenarios (possibly L3 latency limited).  Avoiding private cache misses (i.e. L2 misses/L3 hits) will improve the latency; reduce contention with sibling physical cores and increase performance.  Note the value of this node may overlap with its siblings. Sample with: MEM_LOAD_UOPS_RETIRED.L3_HIT_PS. Related metrics: tma_mem_latency",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads",
-        "MetricExpr": "min((1 - MEM_LOAD_UOPS_RETIRED.L3_HIT / (MEM_LOAD_UOPS_RETIRED.L3_HIT + 7 * MEM_LOAD_UOPS_RETIRED.L3_MISS)) * CYCLE_ACTIVITY.STALLS_L2_MISS / CPU_CLK_UNHALTED.THREAD, 1)",
-        "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_L3_group;tma_memory_bound_group",
-        "MetricName": "tma_dram_bound",
-        "PublicDescription": "This metric estimates how often the CPU was stalled on accesses to external memory (DRAM) by loads. Better caching can improve the latency and increase performance.",
+        "BriefDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs)",
+        "MetricExpr": "ILD_STALL.LCP / tma_info_clks",
+        "MetricGroup": "FetchLat;TopdownL3;tma_L3_group;tma_fetch_latency_group;tma_issueFB",
+        "MetricName": "tma_lcp",
+        "MetricThreshold": "tma_lcp > 0.05 & (tma_fetch_latency > 0.1 & tma_frontend_bound > 0.15)",
+        "PublicDescription": "This metric represents fraction of cycles CPU was stalled due to Length Changing Prefixes (LCPs). Using proper compiler flags or Intel Compiler by default will certainly avoid this. #Link: Optimization Guide about LCP BKMs. Related metrics: tma_dsb_switches, tma_fetch_bandwidth, tma_info_dsb_coverage, tma_info_iptb",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
-        "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=0x4@) / CPU_CLK_UNHALTED.THREAD",
-        "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_L4_group;tma_dram_bound_group",
-        "MetricName": "tma_mem_bandwidth",
-        "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM).  The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that).",
+        "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
+        "MetricExpr": "tma_retiring - tma_heavy_operations",
+        "MetricGroup": "Retire;TmaL2;TopdownL2;tma_L2_group;tma_retiring_group",
+        "MetricName": "tma_light_operations",
+        "MetricThreshold": "tma_light_operations > 0.6",
+        "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UopPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved. Sample with: INST_RETIRED.PREC_DIST",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
-        "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / CPU_CLK_UNHALTED.THREAD - tma_mem_bandwidth",
-        "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_L4_group;tma_dram_bound_group",
-        "MetricName": "tma_mem_latency",
-        "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM).  This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that).",
+        "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations",
+        "MetricConstraint": "NO_GROUP_EVENTS_NMI",
+        "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_2 + UOPS_DISPATCHED_PORT.PORT_3 + UOPS_DISPATCHED_PORT.PORT_7 - UOPS_DISPATCHED_PORT.PORT_4) / (2 * tma_info_core_clks)",
+        "MetricGroup": "TopdownL5;tma_L5_group;tma_ports_utilized_3m_group",
+        "MetricName": "tma_load_op_utilization",
+        "MetricThreshold": "tma_load_op_utilization > 0.6",
+        "PublicDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations. Sample with: UOPS_DISPATCHED.PORT_2_3",
         "ScaleUnit": "100%"
     },
     {
         "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory",
-        "MetricExpr": "min(200 * (MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM * (1 + MEM_LOAD_UOPS_RETIRED.HIT_LFB / (MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) / CPU_CLK_UNHALTED.THREAD, 1)",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "200 * (MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM * (1 + MEM_LOAD_UOPS_RETIRED.HIT_LFB / (MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) / tma_info_clks",
         "MetricGroup": "Server;TopdownL5;tma_L5_group;tma_mem_latency_group",
         "MetricName": "tma_local_dram",
-        "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory. Caching will improve the latency and increase performance.",
-        "ScaleUnit": "100%"
-    },
-    {
-        "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory",
-        "MetricExpr": "min(310 * (MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM * (1 + MEM_LOAD_UOPS_RETIRED.HIT_LFB / (MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) / CPU_CLK_UNHALTED.THREAD, 1)",
-        "MetricGroup": "Server;Snoop;TopdownL5;tma_L5_group;tma_mem_latency_group",
-        "MetricName": "tma_remote_dram",
-        "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory. This is caused often due to non-optimal NUMA allocations. #link to NUMA article",
-        "ScaleUnit": "100%"
-    },
-    {
-        "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues",
-        "MetricExpr": "min((200 * (MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM * (1 + MEM_LOAD_UOPS_RETIRED.HIT_LFB / (MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) + 180 * (MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD * (1 + MEM_LOAD_UOPS_RETIRED.HIT_LFB / (MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD)))) / CPU_CLK_UNHALTED.THREAD, 1)",
-        "MetricGroup": "Offcore;Server;Snoop;TopdownL5;tma_L5_group;tma_mem_latency_group",
-        "MetricName": "tma_remote_cache",
-        "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues. This is caused often due to non-optimal NUMA allocations. #link to NUMA article",
-        "ScaleUnit": "100%"
-    },
-    {
-        "BriefDescription": "This metric estimates how often CPU was stalled  due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
-        "MetricExpr": "RESOURCE_STALLS.SB / CPU_CLK_UNHALTED.THREAD",
-        "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_L3_group;tma_memory_bound_group",
-        "MetricName": "tma_store_bound",
-        "PublicDescription": "This metric estimates how often CPU was stalled  due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck.",
-        "ScaleUnit": "100%"
-    },
-    {
-        "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
-        "MetricExpr": "(L2_RQSTS.RFO_HIT * 9 * (1 - MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES) + (1 - MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / CPU_CLK_UNHALTED.THREAD",
-        "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_L4_group;tma_store_bound_group",
-        "MetricName": "tma_store_latency",
-        "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full)",
-        "ScaleUnit": "100%"
-    },
-    {
-        "BriefDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing",
-        "MetricExpr": "min((200 * OFFCORE_RESPONSE.DEMAND_RFO.LLC_MISS.REMOTE_HITM + 60 * OFFCORE_RESPONSE.DEMAND_RFO.LLC_HIT.HITM_OTHER_CORE) / CPU_CLK_UNHALTED.THREAD, 1)",
-        "MetricGroup": "DataSharing;Offcore;Snoop;TopdownL4;tma_L4_group;tma_store_bound_group",
-        "MetricName": "tma_false_sharing",
-        "PublicDescription": "This metric roughly estimates how often CPU was handling synchronizations due to False Sharing. False Sharing is a multithreading hiccup; where multiple Logical Processors contend on different data-elements mapped into the same cache line. ",
-        "ScaleUnit": "100%"
-    },
-    {
-        "BriefDescription": "This metric represents rate of split store accesses",
-        "MetricExpr": "2 * MEM_UOPS_RETIRED.SPLIT_STORES / CORE_CLKS",
-        "MetricGroup": "TopdownL4;tma_L4_group;tma_store_bound_group",
-        "MetricName": "tma_split_stores",
-        "PublicDescription": "This metric represents rate of split store accesses.  Consider aligning your data to the 64-byte cache line granularity.",
+        "MetricThreshold": "tma_local_dram > 0.1 & (tma_mem_latency > 0.1 & (tma_dram_bound > 0.1 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2)))",
+        "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from local memory. Caching will improve the latency and increase performance. Sample with: MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM_PS",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses",
-        "MetricExpr": "min((8 * DTLB_STORE_MISSES.STLB_HIT + cpu@DTLB_STORE_MISSES.WALK_DURATION\\,cmask\\=0x1@ + 7 * DTLB_STORE_MISSES.WALK_COMPLETED) / CPU_CLK_UNHALTED.THREAD, 1)",
-        "MetricGroup": "MemoryTLB;TopdownL4;tma_L4_group;tma_store_bound_group",
-        "MetricName": "tma_dtlb_store",
-        "PublicDescription": "This metric roughly estimates the fraction of cycles spent handling first-level data TLB store misses.  As with ordinary data caching; focus on improving data locality and reducing working-set size to reduce DTLB overhead.  Additionally; consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page.  Try using larger page sizes for large amounts of frequently-used data.",
+        "BriefDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO) / tma_info_clks",
+        "MetricGroup": "Offcore;TopdownL4;tma_L4_group;tma_issueRFO;tma_l1_bound_group",
+        "MetricName": "tma_lock_latency",
+        "MetricThreshold": "tma_lock_latency > 0.2 & (tma_l1_bound > 0.1 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric represents fraction of cycles the CPU spent handling cache misses due to lock operations. Due to the microarchitecture handling of locks; they are classified as L1_Bound regardless of what memory source satisfied them. Sample with: MEM_UOPS_RETIRED.LOCK_LOADS_PS. Related metrics: tma_store_latency",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck",
-        "MetricExpr": "tma_backend_bound - tma_memory_bound",
-        "MetricGroup": "Backend;Compute;TopdownL2;tma_L2_group;tma_L2_group;tma_backend_bound_group",
-        "MetricName": "tma_core_bound",
-        "PublicDescription": "This metric represents fraction of slots where Core non-memory issues were of a bottleneck.  Shortage in hardware compute resources; or dependencies in software's instructions are both categorized under Core Bound. Hence it may indicate the machine ran out of an out-of-order resource; certain execution units are overloaded or dependencies in program's data- or instruction-flow are limiting the performance (e.g. FP-chained long-latency arithmetic operations).",
+        "BriefDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "tma_bad_speculation - tma_branch_mispredicts",
+        "MetricGroup": "BadSpec;MachineClears;TmaL2;TopdownL2;tma_L2_group;tma_bad_speculation_group;tma_issueMC;tma_issueSyncxn",
+        "MetricName": "tma_machine_clears",
+        "MetricThreshold": "tma_machine_clears > 0.1 & tma_bad_speculation > 0.15",
+        "PublicDescription": "This metric represents fraction of slots the CPU has wasted due to Machine Clears.  These slots are either wasted by uops fetched prior to the clear; or stalls the out-of-order portion of the machine needs to recover its state after the clear. For example; this can happen due to memory ordering Nukes (e.g. Memory Disambiguation) or Self-Modifying-Code (SMC) nukes. Sample with: MACHINE_CLEARS.COUNT. Related metrics: tma_clears_resteers, tma_contested_accesses, tma_data_sharing, tma_false_sharing, tma_l1_bound, tma_microcode_sequencer, tma_ms_switches, tma_remote_cache",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric represents fraction of cycles where the Divider unit was active",
-        "MetricExpr": "ARITH.FPU_DIV_ACTIVE / CORE_CLKS",
-        "MetricGroup": "TopdownL3;tma_L3_group;tma_core_bound_group",
-        "MetricName": "tma_divider",
-        "PublicDescription": "This metric represents fraction of cycles where the Divider unit was active. Divide and square root instructions are performed by the Divider unit and can take considerably longer latency than integer or Floating Point addition; subtraction; or multiplication.",
+        "BriefDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM)",
+        "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, cpu@OFFCORE_REQUESTS_OUTSTANDING.ALL_DATA_RD\\,cmask\\=4@) / tma_info_clks",
+        "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_L4_group;tma_dram_bound_group;tma_issueBW",
+        "MetricName": "tma_mem_bandwidth",
+        "MetricThreshold": "tma_mem_bandwidth > 0.2 & (tma_dram_bound > 0.1 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric estimates fraction of cycles where the core's performance was likely hurt due to approaching bandwidth limits of external memory (DRAM).  The underlying heuristic assumes that a similar off-core traffic is generated by all IA cores. This metric does not aggregate non-data-read requests by this logical processor; requests from other IA Logical Processors/Physical Cores/sockets; or other non-IA devices like GPU; hence the maximum external memory bandwidth limits may or may not be approached when this metric is flagged (see Uncore counters for that). Related metrics: tma_fb_full, tma_info_dram_bw_use, tma_sq_full",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
-        "MetricExpr": "(CYCLE_ACTIVITY.STALLS_TOTAL + UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - (UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC if INST_RETIRED.ANY / CPU_CLK_UNHALTED.THREAD > 1.8 else UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC) - (RS_EVENTS.EMPTY_CYCLES if tma_fetch_latency > 0.1 else 0) + RESOURCE_STALLS.SB - RESOURCE_STALLS.SB - CYCLE_ACTIVITY.STALLS_MEM_ANY) / CPU_CLK_UNHALTED.THREAD",
-        "MetricGroup": "PortsUtil;TopdownL3;tma_L3_group;tma_core_bound_group",
-        "MetricName": "tma_ports_utilization",
-        "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related).  Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations.",
+        "BriefDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM)",
+        "MetricExpr": "min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DATA_RD) / tma_info_clks - tma_mem_bandwidth",
+        "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_L4_group;tma_dram_bound_group;tma_issueLat",
+        "MetricName": "tma_mem_latency",
+        "MetricThreshold": "tma_mem_latency > 0.1 & (tma_dram_bound > 0.1 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric estimates fraction of cycles where the performance was likely hurt due to latency from external memory (DRAM).  This metric does not aggregate requests from other Logical Processors/Physical Cores/sockets (see Uncore counters for that). Related metrics: tma_l3_hit_latency",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
-        "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,inv\\=0x1\\,cmask\\=0x1@ / 2 if #SMT_on else CYCLE_ACTIVITY.STALLS_TOTAL - (RS_EVENTS.EMPTY_CYCLES if tma_fetch_latency > 0.1 else 0)) / CORE_CLKS",
-        "MetricGroup": "PortsUtil;TopdownL4;tma_L4_group;tma_ports_utilization_group",
-        "MetricName": "tma_ports_utilized_0",
-        "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric.",
+        "BriefDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "(CYCLE_ACTIVITY.STALLS_MEM_ANY + RESOURCE_STALLS.SB) / (CYCLE_ACTIVITY.STALLS_TOTAL + UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - (UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC if tma_info_ipc > 1.8 else UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC) - (RS_EVENTS.EMPTY_CYCLES if tma_fetch_latency > 0.1 else 0) + RESOURCE_STALLS.SB) * tma_backend_bound",
+        "MetricGroup": "Backend;TmaL2;TopdownL2;tma_L2_group;tma_backend_bound_group",
+        "MetricName": "tma_memory_bound",
+        "MetricThreshold": "tma_memory_bound > 0.2 & tma_backend_bound > 0.2",
+        "PublicDescription": "This metric represents fraction of slots the Memory subsystem within the Backend was a bottleneck.  Memory Bound estimates fraction of slots where pipeline is likely stalled due to demand load or store instructions. This accounts mainly for (1) non-completed in-flight memory demand loads which coincides with execution units starvation; in addition to (2) cases where stores could impose backpressure on the pipeline when many of them get buffered at the same time (less common out of the two).",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
-        "MetricExpr": "((cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x2@) / 2 if #SMT_on else UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC) / CORE_CLKS",
-        "MetricGroup": "PortsUtil;TopdownL4;tma_L4_group;tma_ports_utilization_group",
-        "MetricName": "tma_ports_utilized_1",
-        "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful.",
+        "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
+        "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / UOPS_ISSUED.ANY * IDQ.MS_UOPS / tma_info_slots",
+        "MetricGroup": "MicroSeq;TopdownL3;tma_L3_group;tma_heavy_operations_group;tma_issueMC;tma_issueMS",
+        "MetricName": "tma_microcode_sequencer",
+        "MetricThreshold": "tma_microcode_sequencer > 0.05 & tma_heavy_operations > 0.1",
+        "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit.  The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided. Sample with: IDQ.MS_UOPS. Related metrics: tma_clears_resteers, tma_l1_bound, tma_machine_clears, tma_ms_switches",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
-        "MetricExpr": "((cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x2@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x3@) / 2 if #SMT_on else UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC) / CORE_CLKS",
-        "MetricGroup": "PortsUtil;TopdownL4;tma_L4_group;tma_ports_utilization_group",
-        "MetricName": "tma_ports_utilized_2",
-        "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise).  Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop.",
+        "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage",
+        "MetricExpr": "BR_MISP_RETIRED.ALL_BRANCHES * tma_branch_resteers / (BR_MISP_RETIRED.ALL_BRANCHES + MACHINE_CLEARS.COUNT + BACLEARS.ANY)",
+        "MetricGroup": "BadSpec;BrMispredicts;TopdownL4;tma_L4_group;tma_branch_resteers_group;tma_issueBM",
+        "MetricName": "tma_mispredicts_resteers",
+        "MetricThreshold": "tma_mispredicts_resteers > 0.05 & (tma_branch_resteers > 0.05 & (tma_fetch_latency > 0.1 & tma_frontend_bound > 0.15))",
+        "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to Branch Resteers as a result of Branch Misprediction at execution stage. Related metrics: tma_branch_mispredicts, tma_info_branch_misprediction_cost",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise).",
-        "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,cmask\\=0x3@ / 2 if #SMT_on else UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC) / CORE_CLKS",
-        "MetricGroup": "PortsUtil;TopdownL4;tma_L4_group;tma_ports_utilization_group",
-        "MetricName": "tma_ports_utilized_3m",
+        "BriefDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline)",
+        "MetricExpr": "(IDQ.ALL_MITE_CYCLES_ANY_UOPS - IDQ.ALL_MITE_CYCLES_4_UOPS) / tma_info_core_clks / 2",
+        "MetricGroup": "DSBmiss;FetchBW;TopdownL3;tma_L3_group;tma_fetch_bandwidth_group",
+        "MetricName": "tma_mite",
+        "MetricThreshold": "tma_mite > 0.1 & (tma_fetch_bandwidth > 0.1 & tma_frontend_bound > 0.15 & tma_info_ipc / 4 > 0.35)",
+        "PublicDescription": "This metric represents Core fraction of cycles in which CPU was likely limited due to the MITE pipeline (the legacy decode pipeline). This pipeline is used for code that was not pre-cached in the DSB or LSD. For example; inefficiencies due to asymmetric decoders; use of long immediate or LCP can manifest as MITE fetch bandwidth bottleneck.",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution ports for ALU operations.",
-        "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_0 + UOPS_DISPATCHED_PORT.PORT_1 + UOPS_DISPATCHED_PORT.PORT_5 + UOPS_DISPATCHED_PORT.PORT_6) / SLOTS",
-        "MetricGroup": "TopdownL5;tma_L5_group;tma_ports_utilized_3m_group",
-        "MetricName": "tma_alu_op_utilization",
+        "BriefDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS)",
+        "MetricExpr": "2 * IDQ.MS_SWITCHES / tma_info_clks",
+        "MetricGroup": "FetchLat;MicroSeq;TopdownL3;tma_L3_group;tma_fetch_latency_group;tma_issueMC;tma_issueMS;tma_issueMV;tma_issueSO",
+        "MetricName": "tma_ms_switches",
+        "MetricThreshold": "tma_ms_switches > 0.05 & (tma_fetch_latency > 0.1 & tma_frontend_bound > 0.15)",
+        "PublicDescription": "This metric estimates the fraction of cycles when the CPU was stalled due to switches of uop delivery to the Microcode Sequencer (MS). Commonly used instructions are optimized for delivery by the DSB (decoded i-cache) or MITE (legacy instruction decode) pipelines. Certain operations cannot be handled natively by the execution pipeline; and must be performed by microcode (small programs injected into the execution stream). Switching to the MS too often can negatively impact performance. The MS is designated to deliver long uop flows required by CISC instructions like CPUID; or uncommon conditions like Floating Point Assists when dealing with Denormals. Sample with: IDQ.MS_SWITCHES. Related metrics: tma_clears_resteers, tma_l1_bound, tma_machine_clears, tma_microcode_sequencer, tma_mixing_vectors, tma_serializing_operation",
         "ScaleUnit": "100%"
     },
     {
         "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch)",
-        "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_0 / CORE_CLKS",
-        "MetricGroup": "Compute;TopdownL6;tma_L6_group;tma_alu_op_utilization_group",
+        "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_0 / tma_info_core_clks",
+        "MetricGroup": "Compute;TopdownL6;tma_L6_group;tma_alu_op_utilization_group;tma_issue2P",
         "MetricName": "tma_port_0",
+        "MetricThreshold": "tma_port_0 > 0.6",
+        "PublicDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 0 ([SNB+] ALU; [HSW+] ALU and 2nd branch). Sample with: UOPS_DISPATCHED_PORT.PORT_0. Related metrics: tma_fp_scalar, tma_fp_vector, tma_fp_vector_128b, tma_fp_vector_256b, tma_fp_vector_512b, tma_port_1, tma_port_5, tma_port_6, tma_ports_utilized_2",
         "ScaleUnit": "100%"
     },
     {
         "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU)",
-        "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_1 / CORE_CLKS",
-        "MetricGroup": "TopdownL6;tma_L6_group;tma_alu_op_utilization_group",
+        "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_1 / tma_info_core_clks",
+        "MetricGroup": "TopdownL6;tma_L6_group;tma_alu_op_utilization_group;tma_issue2P",
         "MetricName": "tma_port_1",
-        "ScaleUnit": "100%"
-    },
-    {
-        "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 5 ([SNB+] Branches and ALU; [HSW+] ALU)",
-        "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_5 / CORE_CLKS",
-        "MetricGroup": "TopdownL6;tma_L6_group;tma_alu_op_utilization_group",
-        "MetricName": "tma_port_5",
-        "ScaleUnit": "100%"
-    },
-    {
-        "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU)",
-        "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_6 / CORE_CLKS",
-        "MetricGroup": "TopdownL6;tma_L6_group;tma_alu_op_utilization_group",
-        "MetricName": "tma_port_6",
-        "ScaleUnit": "100%"
-    },
-    {
-        "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Load operations",
-        "MetricExpr": "(UOPS_DISPATCHED_PORT.PORT_2 + UOPS_DISPATCHED_PORT.PORT_3 + UOPS_DISPATCHED_PORT.PORT_7 - UOPS_DISPATCHED_PORT.PORT_4) / (2 * CORE_CLKS)",
-        "MetricGroup": "TopdownL5;tma_L5_group;tma_ports_utilized_3m_group",
-        "MetricName": "tma_load_op_utilization",
+        "MetricThreshold": "tma_port_1 > 0.6",
+        "PublicDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 1 (ALU). Sample with: UOPS_DISPATCHED_PORT.PORT_1. Related metrics: tma_fp_scalar, tma_fp_vector, tma_fp_vector_128b, tma_fp_vector_256b, tma_fp_vector_512b, tma_port_0, tma_port_5, tma_port_6, tma_ports_utilized_2",
         "ScaleUnit": "100%"
     },
     {
         "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 2 ([SNB+]Loads and Store-address; [ICL+] Loads)",
-        "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_2 / CORE_CLKS",
+        "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_2 / tma_info_core_clks",
         "MetricGroup": "TopdownL6;tma_L6_group;tma_load_op_utilization_group",
         "MetricName": "tma_port_2",
+        "MetricThreshold": "tma_port_2 > 0.6",
+        "PublicDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 2 ([SNB+]Loads and Store-address; [ICL+] Loads). Sample with: UOPS_DISPATCHED_PORT.PORT_2",
         "ScaleUnit": "100%"
     },
     {
         "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 3 ([SNB+]Loads and Store-address; [ICL+] Loads)",
-        "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_3 / CORE_CLKS",
+        "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_3 / tma_info_core_clks",
         "MetricGroup": "TopdownL6;tma_L6_group;tma_load_op_utilization_group",
         "MetricName": "tma_port_3",
-        "ScaleUnit": "100%"
-    },
-    {
-        "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations",
-        "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / CORE_CLKS",
-        "MetricGroup": "TopdownL5;tma_L5_group;tma_ports_utilized_3m_group",
-        "MetricName": "tma_store_op_utilization",
+        "MetricThreshold": "tma_port_3 > 0.6",
+        "PublicDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 3 ([SNB+]Loads and Store-address; [ICL+] Loads). Sample with: UOPS_DISPATCHED_PORT.PORT_3",
         "ScaleUnit": "100%"
     },
     {
         "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 4 (Store-data)",
         "MetricExpr": "tma_store_op_utilization",
-        "MetricGroup": "TopdownL6;tma_L6_group;tma_store_op_utilization_group",
+        "MetricGroup": "TopdownL6;tma_L6_group;tma_issueSpSt;tma_store_op_utilization_group",
         "MetricName": "tma_port_4",
+        "MetricThreshold": "tma_port_4 > 0.6",
+        "PublicDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 4 (Store-data). Sample with: UOPS_DISPATCHED_PORT.PORT_4. Related metrics: tma_split_stores",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 7 ([HSW+]simple Store-address)",
-        "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_7 / CORE_CLKS",
-        "MetricGroup": "TopdownL6;tma_L6_group;tma_store_op_utilization_group",
-        "MetricName": "tma_port_7",
+        "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 5 ([SNB+] Branches and ALU; [HSW+] ALU)",
+        "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_5 / tma_info_core_clks",
+        "MetricGroup": "TopdownL6;tma_L6_group;tma_alu_op_utilization_group;tma_issue2P",
+        "MetricName": "tma_port_5",
+        "MetricThreshold": "tma_port_5 > 0.6",
+        "PublicDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 5 ([SNB+] Branches and ALU; [HSW+] ALU). Sample with: UOPS_DISPATCHED.PORT_5. Related metrics: tma_fp_scalar, tma_fp_vector, tma_fp_vector_128b, tma_fp_vector_256b, tma_fp_vector_512b, tma_port_0, tma_port_1, tma_port_6, tma_ports_utilized_2",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
-        "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / SLOTS",
-        "MetricGroup": "TopdownL1;tma_L1_group;tma_L1_group",
-        "MetricName": "tma_retiring",
-        "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category.  Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved.  Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance.  For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. ",
+        "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU)",
+        "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_6 / tma_info_core_clks",
+        "MetricGroup": "TopdownL6;tma_L6_group;tma_alu_op_utilization_group;tma_issue2P",
+        "MetricName": "tma_port_6",
+        "MetricThreshold": "tma_port_6 > 0.6",
+        "PublicDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 6 ([HSW+]Primary Branch and simple ALU). Sample with: UOPS_DISPATCHED_PORT.PORT_6. Related metrics: tma_fp_scalar, tma_fp_vector, tma_fp_vector_128b, tma_fp_vector_256b, tma_fp_vector_512b, tma_port_0, tma_port_1, tma_port_5, tma_ports_utilized_2",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation)",
-        "MetricExpr": "tma_retiring - UOPS_RETIRED.RETIRE_SLOTS / UOPS_ISSUED.ANY * IDQ.MS_UOPS / SLOTS",
-        "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_L2_group;tma_retiring_group",
-        "MetricName": "tma_light_operations",
-        "PublicDescription": "This metric represents fraction of slots where the CPU was retiring light-weight operations -- instructions that require no more than one uop (micro-operation). This correlates with total number of instructions used by the program. A uops-per-instruction (see UPI metric) ratio of 1 or less should be expected for decently optimized software running on Intel Core/Xeon products. While this often indicates efficient X86 instructions were executed; high value does not necessarily mean better performance cannot be achieved.",
+        "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 7 ([HSW+]simple Store-address)",
+        "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_7 / tma_info_core_clks",
+        "MetricGroup": "TopdownL6;tma_L6_group;tma_store_op_utilization_group",
+        "MetricName": "tma_port_7",
+        "MetricThreshold": "tma_port_7 > 0.6",
+        "PublicDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port 7 ([HSW+]simple Store-address). Sample with: UOPS_DISPATCHED_PORT.PORT_7",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired)",
-        "MetricExpr": "INST_RETIRED.X87 * UPI / UOPS_RETIRED.RETIRE_SLOTS + tma_fp_scalar + tma_fp_vector",
-        "MetricGroup": "HPC;TopdownL3;tma_L3_group;tma_light_operations_group",
-        "MetricName": "tma_fp_arith",
-        "PublicDescription": "This metric represents overall arithmetic floating-point (FP) operations fraction the CPU has executed (retired). Note this metric's value may exceed its parent due to use of \"Uops\" CountDomain and FMA double-counting.",
+        "BriefDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related)",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "(CYCLE_ACTIVITY.STALLS_TOTAL + UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - (UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC if tma_info_ipc > 1.8 else UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC) - (RS_EVENTS.EMPTY_CYCLES if tma_fetch_latency > 0.1 else 0) + RESOURCE_STALLS.SB - RESOURCE_STALLS.SB - CYCLE_ACTIVITY.STALLS_MEM_ANY) / tma_info_clks",
+        "MetricGroup": "PortsUtil;TopdownL3;tma_L3_group;tma_core_bound_group",
+        "MetricName": "tma_ports_utilization",
+        "MetricThreshold": "tma_ports_utilization > 0.15 & (tma_core_bound > 0.1 & tma_backend_bound > 0.2)",
+        "PublicDescription": "This metric estimates fraction of cycles the CPU performance was potentially limited due to Core computation issues (non divider-related).  Two distinct categories can be attributed into this metric: (1) heavy data-dependency among contiguous instructions would manifest in this metric - such cases are often referred to as low Instruction Level Parallelism (ILP). (2) Contention on some hardware execution unit other than Divider. For example; when there are too many multiply operations.",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
-        "MetricExpr": "INST_RETIRED.X87 * UPI / UOPS_RETIRED.RETIRE_SLOTS",
-        "MetricGroup": "Compute;TopdownL4;tma_L4_group;tma_fp_arith_group",
-        "MetricName": "tma_x87_use",
-        "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint.",
+        "BriefDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+        "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,inv\\,cmask\\=1@ / 2 if #SMT_on else (CYCLE_ACTIVITY.STALLS_TOTAL - (RS_EVENTS.EMPTY_CYCLES if tma_fetch_latency > 0.1 else 0)) / tma_info_core_clks)",
+        "MetricGroup": "PortsUtil;TopdownL4;tma_L4_group;tma_ports_utilization_group",
+        "MetricName": "tma_ports_utilized_0",
+        "MetricThreshold": "tma_ports_utilized_0 > 0.2 & (tma_ports_utilization > 0.15 & (tma_core_bound > 0.1 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric represents fraction of cycles CPU executed no uops on any execution port (Logical Processor cycles since ICL, Physical Core cycles otherwise). Long-latency instructions like divides may contribute to this metric.",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired",
-        "MetricExpr": "(FP_ARITH_INST_RETIRED.SCALAR_SINGLE + FP_ARITH_INST_RETIRED.SCALAR_DOUBLE) / UOPS_RETIRED.RETIRE_SLOTS",
-        "MetricGroup": "Compute;Flops;TopdownL4;tma_L4_group;tma_fp_arith_group",
-        "MetricName": "tma_fp_scalar",
-        "PublicDescription": "This metric approximates arithmetic floating-point (FP) scalar uops fraction the CPU has retired. May overcount due to FMA double counting.",
+        "BriefDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+        "MetricExpr": "((cpu@UOPS_EXECUTED.CORE\\,cmask\\=1@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@) / 2 if #SMT_on else (UOPS_EXECUTED.CYCLES_GE_1_UOP_EXEC - UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC) / tma_info_core_clks)",
+        "MetricGroup": "PortsUtil;TopdownL4;tma_L4_group;tma_issueL1;tma_ports_utilization_group",
+        "MetricName": "tma_ports_utilized_1",
+        "MetricThreshold": "tma_ports_utilized_1 > 0.2 & (tma_ports_utilization > 0.15 & (tma_core_bound > 0.1 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric represents fraction of cycles where the CPU executed total of 1 uop per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise). This can be due to heavy data-dependency among software instructions; or over oversubscribing a particular hardware resource. In some other cases with high 1_Port_Utilized and L1_Bound; this metric can point to L1 data-cache latency bottleneck that may not necessarily manifest with complete execution starvation (due to the short L1 latency e.g. walking a linked list) - looking at the assembly can be helpful. Related metrics: tma_l1_bound",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths",
-        "MetricExpr": "min((FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE + FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS, 1)",
-        "MetricGroup": "Compute;Flops;TopdownL4;tma_L4_group;tma_fp_arith_group",
-        "MetricName": "tma_fp_vector",
-        "PublicDescription": "This metric approximates arithmetic floating-point (FP) vector uops fraction the CPU has retired aggregated across all vector widths. May overcount due to FMA double counting.",
+        "BriefDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise)",
+        "MetricExpr": "((cpu@UOPS_EXECUTED.CORE\\,cmask\\=2@ - cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@) / 2 if #SMT_on else (UOPS_EXECUTED.CYCLES_GE_2_UOPS_EXEC - UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC) / tma_info_core_clks)",
+        "MetricGroup": "PortsUtil;TopdownL4;tma_L4_group;tma_issue2P;tma_ports_utilization_group",
+        "MetricName": "tma_ports_utilized_2",
+        "MetricThreshold": "tma_ports_utilized_2 > 0.15 & (tma_ports_utilization > 0.15 & (tma_core_bound > 0.1 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric represents fraction of cycles CPU executed total of 2 uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise).  Loop Vectorization -most compilers feature auto-Vectorization options today- reduces pressure on the execution ports as multiple elements are calculated with same uop. Related metrics: tma_fp_scalar, tma_fp_vector, tma_fp_vector_128b, tma_fp_vector_256b, tma_fp_vector_512b, tma_port_0, tma_port_1, tma_port_5, tma_port_6",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors",
-        "MetricExpr": "min((FP_ARITH_INST_RETIRED.128B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.128B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS, 1)",
-        "MetricGroup": "Compute;Flops;TopdownL5;tma_L5_group;tma_fp_vector_group",
-        "MetricName": "tma_fp_vector_128b",
-        "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 128-bit wide vectors. May overcount due to FMA double counting.",
+        "BriefDescription": "This metric represents fraction of cycles CPU executed total of 3 or more uops per cycle on all execution ports (Logical Processor cycles since ICL, Physical Core cycles otherwise).",
+        "MetricExpr": "(cpu@UOPS_EXECUTED.CORE\\,cmask\\=3@ / 2 if #SMT_on else UOPS_EXECUTED.CYCLES_GE_3_UOPS_EXEC) / tma_info_core_clks",
+        "MetricGroup": "PortsUtil;TopdownL4;tma_L4_group;tma_ports_utilization_group",
+        "MetricName": "tma_ports_utilized_3m",
+        "MetricThreshold": "tma_ports_utilized_3m > 0.7 & (tma_ports_utilization > 0.15 & (tma_core_bound > 0.1 & tma_backend_bound > 0.2))",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors",
-        "MetricExpr": "min((FP_ARITH_INST_RETIRED.256B_PACKED_DOUBLE + FP_ARITH_INST_RETIRED.256B_PACKED_SINGLE) / UOPS_RETIRED.RETIRE_SLOTS, 1)",
-        "MetricGroup": "Compute;Flops;TopdownL5;tma_L5_group;tma_fp_vector_group",
-        "MetricName": "tma_fp_vector_256b",
-        "PublicDescription": "This metric approximates arithmetic FP vector uops fraction the CPU has retired for 256-bit wide vectors. May overcount due to FMA double counting.",
+        "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "(200 * (MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM * (1 + MEM_LOAD_UOPS_RETIRED.HIT_LFB / (MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) + 180 * (MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD * (1 + MEM_LOAD_UOPS_RETIRED.HIT_LFB / (MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD)))) / tma_info_clks",
+        "MetricGroup": "Offcore;Server;Snoop;TopdownL5;tma_L5_group;tma_issueSyncxn;tma_mem_latency_group",
+        "MetricName": "tma_remote_cache",
+        "MetricThreshold": "tma_remote_cache > 0.05 & (tma_mem_latency > 0.1 & (tma_dram_bound > 0.1 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2)))",
+        "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote cache in other sockets including synchronizations issues. This is caused often due to non-optimal NUMA allocations. #link to NUMA article. Sample with: MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM_PS;MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD_PS. Related metrics: tma_contested_accesses, tma_data_sharing, tma_false_sharing, tma_machine_clears",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences",
-        "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / UOPS_ISSUED.ANY * IDQ.MS_UOPS / SLOTS",
-        "MetricGroup": "Retire;TopdownL2;tma_L2_group;tma_L2_group;tma_retiring_group",
-        "MetricName": "tma_heavy_operations",
-        "PublicDescription": "This metric represents fraction of slots where the CPU was retiring heavy-weight operations -- instructions that require two or more uops or microcoded sequences. This highly-correlates with the uop length of these instructions/sequences.",
+        "BriefDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "310 * (MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM * (1 + MEM_LOAD_UOPS_RETIRED.HIT_LFB / (MEM_LOAD_UOPS_RETIRED.L2_HIT + MEM_LOAD_UOPS_RETIRED.L3_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HIT + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM + MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_MISS + MEM_LOAD_UOPS_L3_MISS_RETIRED.LOCAL_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_HITM + MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_FWD))) / tma_info_clks",
+        "MetricGroup": "Server;Snoop;TopdownL5;tma_L5_group;tma_mem_latency_group",
+        "MetricName": "tma_remote_dram",
+        "MetricThreshold": "tma_remote_dram > 0.1 & (tma_mem_latency > 0.1 & (tma_dram_bound > 0.1 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2)))",
+        "PublicDescription": "This metric estimates fraction of cycles while the memory subsystem was handling loads from remote memory. This is caused often due to non-optimal NUMA allocations. #link to NUMA article. Sample with: MEM_LOAD_UOPS_L3_MISS_RETIRED.REMOTE_DRAM_PS",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit",
-        "MetricExpr": "tma_heavy_operations",
-        "MetricGroup": "MicroSeq;TopdownL3;tma_L3_group;tma_heavy_operations_group",
-        "MetricName": "tma_microcode_sequencer",
-        "PublicDescription": "This metric represents fraction of slots the CPU was retiring uops fetched by the Microcode Sequencer (MS) unit.  The MS is used for CISC instructions not supported by the default decoders (like repeat move strings; or CPUID); or by microcode assists used to address some operation modes (like in Floating Point assists). These cases can often be avoided.",
+        "BriefDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired",
+        "MetricExpr": "UOPS_RETIRED.RETIRE_SLOTS / tma_info_slots",
+        "MetricGroup": "TmaL1;TopdownL1;tma_L1_group",
+        "MetricName": "tma_retiring",
+        "MetricThreshold": "tma_retiring > 0.7 | tma_heavy_operations > 0.1",
+        "PublicDescription": "This category represents fraction of slots utilized by useful work i.e. issued uops that eventually get retired. Ideally; all pipeline slots would be attributed to the Retiring category.  Retiring of 100% would indicate the maximum Pipeline_Width throughput was achieved.  Maximizing Retiring typically increases the Instructions-per-cycle (see IPC metric). Note that a high Retiring value does not necessary mean there is no room for more performance.  For example; Heavy-operations or Microcode Assists are categorized under Retiring. They often indicate suboptimal performance and can often be optimized or avoided. Sample with: UOPS_RETIRED.RETIRE_SLOTS",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists",
-        "MetricExpr": "min(100 * OTHER_ASSISTS.ANY_WB_ASSIST / SLOTS, 1)",
-        "MetricGroup": "TopdownL4;tma_L4_group;tma_microcode_sequencer_group",
-        "MetricName": "tma_assists",
-        "PublicDescription": "This metric estimates fraction of slots the CPU retired uops delivered by the Microcode_Sequencer as a result of Assists. Assists are long sequences of uops that are required in certain corner-cases for operations that cannot be handled natively by the execution pipeline. For example; when working with very small floating point values (so-called Denormals); the FP units are not set up to perform these operations natively. Instead; a sequence of instructions to perform the computation on the Denormals is injected into the pipeline. Since these microcode sequences might be dozens of uops long; Assists can be extremely deleterious to performance and they can be avoided in many cases.",
+        "BriefDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "tma_info_load_miss_real_latency * LD_BLOCKS.NO_SR / tma_info_clks",
+        "MetricGroup": "TopdownL4;tma_L4_group;tma_l1_bound_group",
+        "MetricName": "tma_split_loads",
+        "MetricThreshold": "tma_split_loads > 0.2 & (tma_l1_bound > 0.1 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric estimates fraction of cycles handling memory load split accesses - load that cross 64-byte cache line boundary. Sample with: MEM_UOPS_RETIRED.SPLIT_LOADS_PS",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction",
-        "MetricExpr": "max(0, tma_heavy_operations - tma_assists)",
-        "MetricGroup": "TopdownL4;tma_L4_group;tma_microcode_sequencer_group",
-        "MetricName": "tma_cisc",
-        "PublicDescription": "This metric estimates fraction of cycles the CPU retired uops originated from CISC (complex instruction set computer) instruction. A CISC instruction has multiple uops that are required to perform the instruction's functionality as in the case of read-modify-write as an example. Since these instructions require multiple uops they may or may not imply sub-optimal use of machine resources.",
+        "BriefDescription": "This metric represents rate of split store accesses",
+        "MetricExpr": "2 * MEM_UOPS_RETIRED.SPLIT_STORES / tma_info_core_clks",
+        "MetricGroup": "TopdownL4;tma_L4_group;tma_issueSpSt;tma_store_bound_group",
+        "MetricName": "tma_split_stores",
+        "MetricThreshold": "tma_split_stores > 0.2 & (tma_store_bound > 0.2 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric represents rate of split store accesses.  Consider aligning your data to the 64-byte cache line granularity. Sample with: MEM_UOPS_RETIRED.SPLIT_STORES_PS. Related metrics: tma_port_4",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "C3 residency percent per core",
-        "MetricExpr": "cstate_core@c3\\-residency@ / TSC",
-        "MetricGroup": "Power",
-        "MetricName": "C3_Core_Residency",
+        "BriefDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors)",
+        "MetricExpr": "(OFFCORE_REQUESTS_BUFFER.SQ_FULL / 2 if #SMT_on else OFFCORE_REQUESTS_BUFFER.SQ_FULL) / tma_info_core_clks",
+        "MetricGroup": "MemoryBW;Offcore;TopdownL4;tma_L4_group;tma_issueBW;tma_l3_bound_group",
+        "MetricName": "tma_sq_full",
+        "MetricThreshold": "tma_sq_full > 0.3 & (tma_l3_bound > 0.05 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric measures fraction of cycles where the Super Queue (SQ) was full taking into account all request-types and both hardware SMT threads (Logical Processors). Related metrics: tma_fb_full, tma_info_dram_bw_use, tma_mem_bandwidth",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "C6 residency percent per core",
-        "MetricExpr": "cstate_core@c6\\-residency@ / TSC",
-        "MetricGroup": "Power",
-        "MetricName": "C6_Core_Residency",
+        "BriefDescription": "This metric estimates how often CPU was stalled  due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write",
+        "MetricExpr": "RESOURCE_STALLS.SB / tma_info_clks",
+        "MetricGroup": "MemoryBound;TmaL3mem;TopdownL3;tma_L3_group;tma_memory_bound_group",
+        "MetricName": "tma_store_bound",
+        "MetricThreshold": "tma_store_bound > 0.2 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2)",
+        "PublicDescription": "This metric estimates how often CPU was stalled  due to RFO store memory accesses; RFO store issue a read-for-ownership request before the write. Even though store accesses do not typically stall out-of-order CPUs; there are few cases where stores can lead to actual stalls. This metric will be flagged should RFO stores be a bottleneck. Sample with: MEM_UOPS_RETIRED.ALL_STORES_PS",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "C7 residency percent per core",
-        "MetricExpr": "cstate_core@c7\\-residency@ / TSC",
-        "MetricGroup": "Power",
-        "MetricName": "C7_Core_Residency",
+        "BriefDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores",
+        "MetricExpr": "13 * LD_BLOCKS.STORE_FORWARD / tma_info_clks",
+        "MetricGroup": "TopdownL4;tma_L4_group;tma_l1_bound_group",
+        "MetricName": "tma_store_fwd_blk",
+        "MetricThreshold": "tma_store_fwd_blk > 0.1 & (tma_l1_bound > 0.1 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric roughly estimates fraction of cycles when the memory subsystem had loads blocked since they could not forward data from earlier (in program order) overlapping stores. To streamline memory operations in the pipeline; a load can avoid waiting for memory if a prior in-flight store is writing the data that the load wants to read (store forwarding process). However; in some cases the load may be blocked for a significant time pending the store forward. For example; when the prior store is writing a smaller region than the load is reading.",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "C2 residency percent per package",
-        "MetricExpr": "cstate_pkg@c2\\-residency@ / TSC",
-        "MetricGroup": "Power",
-        "MetricName": "C2_Pkg_Residency",
+        "BriefDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses",
+        "MetricConstraint": "NO_GROUP_EVENTS",
+        "MetricExpr": "(L2_RQSTS.RFO_HIT * 9 * (1 - MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES) + (1 - MEM_UOPS_RETIRED.LOCK_LOADS / MEM_UOPS_RETIRED.ALL_STORES) * min(CPU_CLK_UNHALTED.THREAD, OFFCORE_REQUESTS_OUTSTANDING.CYCLES_WITH_DEMAND_RFO)) / tma_info_clks",
+        "MetricGroup": "MemoryLat;Offcore;TopdownL4;tma_L4_group;tma_issueRFO;tma_issueSL;tma_store_bound_group",
+        "MetricName": "tma_store_latency",
+        "MetricThreshold": "tma_store_latency > 0.1 & (tma_store_bound > 0.2 & (tma_memory_bound > 0.2 & tma_backend_bound > 0.2))",
+        "PublicDescription": "This metric estimates fraction of cycles the CPU spent handling L1D store misses. Store accesses usually less impact out-of-order core performance; however; holding resources for longer time can lead into undesired implications (e.g. contention on L1D fill-buffer entries - see FB_Full). Related metrics: tma_fb_full, tma_lock_latency",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "C3 residency percent per package",
-        "MetricExpr": "cstate_pkg@c3\\-residency@ / TSC",
-        "MetricGroup": "Power",
-        "MetricName": "C3_Pkg_Residency",
+        "BriefDescription": "This metric represents Core fraction of cycles CPU dispatched uops on execution port for Store operations",
+        "MetricExpr": "UOPS_DISPATCHED_PORT.PORT_4 / tma_info_core_clks",
+        "MetricGroup": "TopdownL5;tma_L5_group;tma_ports_utilized_3m_group",
+        "MetricName": "tma_store_op_utilization",
+        "MetricThreshold": "tma_store_op_utilization > 0.6",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "C6 residency percent per package",
-        "MetricExpr": "cstate_pkg@c6\\-residency@ / TSC",
-        "MetricGroup": "Power",
-        "MetricName": "C6_Pkg_Residency",
+        "BriefDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears",
+        "MetricExpr": "tma_branch_resteers - tma_mispredicts_resteers - tma_clears_resteers",
+        "MetricGroup": "BigFoot;FetchLat;TopdownL4;tma_L4_group;tma_branch_resteers_group",
+        "MetricName": "tma_unknown_branches",
+        "MetricThreshold": "tma_unknown_branches > 0.05 & (tma_branch_resteers > 0.05 & (tma_fetch_latency > 0.1 & tma_frontend_bound > 0.15))",
+        "PublicDescription": "This metric represents fraction of cycles the CPU was stalled due to new branch address clears. These are fetched branches the Branch Prediction Unit was unable to recognize (e.g. first time the branch is fetched or hitting BTB capacity limit). Sample with: BACLEARS.ANY",
         "ScaleUnit": "100%"
     },
     {
-        "BriefDescription": "C7 residency percent per package",
-        "MetricExpr": "cstate_pkg@c7\\-residency@ / TSC",
-        "MetricGroup": "Power",
-        "MetricName": "C7_Pkg_Residency",
+        "BriefDescription": "This metric serves as an approximation of legacy x87 usage",
+        "MetricExpr": "INST_RETIRED.X87 * tma_info_uoppi / UOPS_RETIRED.RETIRE_SLOTS",
+        "MetricGroup": "Compute;TopdownL4;tma_L4_group;tma_fp_arith_group",
+        "MetricName": "tma_x87_use",
+        "MetricThreshold": "tma_x87_use > 0.1 & (tma_fp_arith > 0.2 & tma_light_operations > 0.6)",
+        "PublicDescription": "This metric serves as an approximation of legacy x87 usage. It accounts for instructions beyond X87 FP arithmetic operations; hence may be used as a thermometer to avoid X87 high usage and preferably upgrade to modern ISA. See Tip under Tuning Hint.",
         "ScaleUnit": "100%"
     }
 ]
diff --git a/tools/perf/pmu-events/arch/x86/broadwellx/uncore-cache.json b/tools/perf/pmu-events/arch/x86/broadwellx/uncore-cache.json
index 38eaac5afd4b..746954775437 100644
--- a/tools/perf/pmu-events/arch/x86/broadwellx/uncore-cache.json
+++ b/tools/perf/pmu-events/arch/x86/broadwellx/uncore-cache.json
@@ -5,7 +5,7 @@
         "EventName": "LLC_MISSES.CODE_LLC_PREFETCH",
         "Filter": "filter_opc=0x191",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
         "ScaleUnit": "64Bytes",
         "UMask": "0x3",
         "Unit": "CBO"
@@ -16,7 +16,7 @@
         "EventName": "LLC_MISSES.DATA_LLC_PREFETCH",
         "Filter": "filter_opc=0x192",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
         "ScaleUnit": "64Bytes",
         "UMask": "0x3",
         "Unit": "CBO"
@@ -27,7 +27,7 @@
         "EventName": "LLC_MISSES.DATA_READ",
         "Filter": "filter_opc=0x182",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
         "ScaleUnit": "64Bytes",
         "UMask": "0x3",
         "Unit": "CBO"
@@ -38,7 +38,7 @@
         "EventName": "LLC_MISSES.MMIO_READ",
         "Filter": "filter_opc=0x187,filter_nc=1",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
         "ScaleUnit": "64Bytes",
         "UMask": "0x3",
         "Unit": "CBO"
@@ -49,7 +49,7 @@
         "EventName": "LLC_MISSES.MMIO_WRITE",
         "Filter": "filter_opc=0x18f,filter_nc=1",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
         "ScaleUnit": "64Bytes",
         "UMask": "0x3",
         "Unit": "CBO"
@@ -60,7 +60,7 @@
         "EventName": "LLC_MISSES.PCIE_NON_SNOOP_WRITE",
         "Filter": "filter_opc=0x1c8,filter_tid=0x3e",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
         "ScaleUnit": "64Bytes",
         "UMask": "0x3",
         "Unit": "CBO"
@@ -71,7 +71,7 @@
         "EventName": "LLC_MISSES.PCIE_READ",
         "Filter": "filter_opc=0x19e",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
         "ScaleUnit": "64Bytes",
         "UMask": "0x3",
         "Unit": "CBO"
@@ -82,7 +82,7 @@
         "EventName": "LLC_MISSES.PCIE_WRITE",
         "Filter": "filter_opc=0x1c8",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
         "ScaleUnit": "64Bytes",
         "UMask": "0x3",
         "Unit": "CBO"
@@ -93,7 +93,7 @@
         "EventName": "LLC_MISSES.RFO_LLC_PREFETCH",
         "Filter": "filter_opc=0x190",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
         "ScaleUnit": "64Bytes",
         "UMask": "0x3",
         "Unit": "CBO"
@@ -104,7 +104,7 @@
         "EventName": "LLC_MISSES.UNCACHEABLE",
         "Filter": "filter_opc=0x187",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
         "ScaleUnit": "64Bytes",
         "UMask": "0x3",
         "Unit": "CBO"
@@ -115,7 +115,7 @@
         "EventName": "LLC_REFERENCES.CODE_LLC_PREFETCH",
         "Filter": "filter_opc=0x181",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Transactions inserted into the TOR that match an opcode (matched by Cn_MSR_PMON_BOX_FILTER.opc)",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Transactions inserted into the TOR that match an opcode (matched by Cn_MSR_PMON_BOX_FILTER.opc)",
         "ScaleUnit": "64Bytes",
         "UMask": "0x1",
         "Unit": "CBO"
@@ -126,7 +126,7 @@
         "EventName": "LLC_REFERENCES.PCIE_NS_PARTIAL_WRITE",
         "Filter": "filter_opc=0x180,filter_tid=0x3e",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Transactions inserted into the TOR that match an opcode (matched by Cn_MSR_PMON_BOX_FILTER.opc)",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Transactions inserted into the TOR that match an opcode (matched by Cn_MSR_PMON_BOX_FILTER.opc)",
         "UMask": "0x1",
         "Unit": "CBO"
     },
@@ -136,7 +136,7 @@
         "EventName": "LLC_REFERENCES.PCIE_READ",
         "Filter": "filter_opc=0x19e",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Transactions inserted into the TOR that match an opcode (matched by Cn_MSR_PMON_BOX_FILTER.opc)",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Transactions inserted into the TOR that match an opcode (matched by Cn_MSR_PMON_BOX_FILTER.opc)",
         "ScaleUnit": "64Bytes",
         "UMask": "0x1",
         "Unit": "CBO"
@@ -147,7 +147,7 @@
         "EventName": "LLC_REFERENCES.PCIE_WRITE",
         "Filter": "filter_opc=0x1c8,filter_tid=0x3e",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Transactions inserted into the TOR that match an opcode (matched by Cn_MSR_PMON_BOX_FILTER.opc)",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Transactions inserted into the TOR that match an opcode (matched by Cn_MSR_PMON_BOX_FILTER.opc)",
         "ScaleUnit": "64Bytes",
         "UMask": "0x1",
         "Unit": "CBO"
@@ -158,7 +158,7 @@
         "EventName": "LLC_REFERENCES.STREAMING_FULL",
         "Filter": "filter_opc=0x18c",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Transactions inserted into the TOR that match an opcode (matched by Cn_MSR_PMON_BOX_FILTER.opc)",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Transactions inserted into the TOR that match an opcode (matched by Cn_MSR_PMON_BOX_FILTER.opc)",
         "ScaleUnit": "64Bytes",
         "UMask": "0x1",
         "Unit": "CBO"
@@ -169,7 +169,7 @@
         "EventName": "LLC_REFERENCES.STREAMING_PARTIAL",
         "Filter": "filter_opc=0x18d",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Transactions inserted into the TOR that match an opcode (matched by Cn_MSR_PMON_BOX_FILTER.opc)",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Transactions inserted into the TOR that match an opcode (matched by Cn_MSR_PMON_BOX_FILTER.opc)",
         "ScaleUnit": "64Bytes",
         "UMask": "0x1",
         "Unit": "CBO"
@@ -1157,7 +1157,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.ALL",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; All transactions inserted into the TOR.    This includes requests that reside in the TOR for a short time, such as LLC Hits that do not need to snoop cores or requests that get rejected and have to be retried through one of the ingress queues.  The TOR is more commonly a bottleneck in skews with smaller core counts, where the ratio of RTIDs to TOR entries is larger.  Note that there are reserved TOR entries for various request types, so it is possible that a given request type be blocked with an occupancy that is less than 20.  Also note that generally requests will not be able to arbitrate into the TOR pipeline if there are no available TOR slots.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; All transactions inserted into the TOR.    This includes requests that reside in the TOR for a short time, such as LLC Hits that do not need to snoop cores or requests that get rejected and have to be retried through one of the ingress queues.  The TOR is more commonly a bottleneck in skews with smaller core counts, where the ratio of RTIDs to TOR entries is larger.  Note that there are reserved TOR entries for various request types, so it is possible that a given request type be blocked with an occupancy that is less than 20.  Also note that generally requests will not be able to arbitrate into the TOR pipeline if there are no available TOR slots.",
         "UMask": "0x8",
         "Unit": "CBO"
     },
@@ -1166,7 +1166,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.EVICTION",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Eviction transactions inserted into the TOR.  Evictions can be quick, such as when the line is in the F, S, or E states and no core valid bits are set.  They can also be longer if either CV bits are set (so the cores need to be snooped) and/or if there is a HitM (in which case it is necessary to write the request out to memory).",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Eviction transactions inserted into the TOR.  Evictions can be quick, such as when the line is in the F, S, or E states and no core valid bits are set.  They can also be longer if either CV bits are set (so the cores need to be snooped) and/or if there is a HitM (in which case it is necessary to write the request out to memory).",
         "UMask": "0x4",
         "Unit": "CBO"
     },
@@ -1175,7 +1175,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.LOCAL",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; All transactions inserted into the TOR that are satisifed by locally HOMed memory.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; All transactions inserted into the TOR that are satisifed by locally HOMed memory.",
         "UMask": "0x28",
         "Unit": "CBO"
     },
@@ -1184,7 +1184,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.LOCAL_OPCODE",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; All transactions, satisifed by an opcode,  inserted into the TOR that are satisifed by locally HOMed memory.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; All transactions, satisifed by an opcode,  inserted into the TOR that are satisifed by locally HOMed memory.",
         "UMask": "0x21",
         "Unit": "CBO"
     },
@@ -1193,7 +1193,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.MISS_LOCAL",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that are satisifed by locally HOMed memory.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that are satisifed by locally HOMed memory.",
         "UMask": "0x2a",
         "Unit": "CBO"
     },
@@ -1202,7 +1202,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.MISS_LOCAL_OPCODE",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions, satisifed by an opcode, inserted into the TOR that are satisifed by locally HOMed memory.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions, satisifed by an opcode, inserted into the TOR that are satisifed by locally HOMed memory.",
         "UMask": "0x23",
         "Unit": "CBO"
     },
@@ -1211,7 +1211,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.MISS_OPCODE",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match an opcode.",
         "UMask": "0x3",
         "Unit": "CBO"
     },
@@ -1220,7 +1220,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.MISS_REMOTE",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that are satisifed by remote caches or remote memory.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that are satisifed by remote caches or remote memory.",
         "UMask": "0x8a",
         "Unit": "CBO"
     },
@@ -1229,7 +1229,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.MISS_REMOTE_OPCODE",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions, satisifed by an opcode,  inserted into the TOR that are satisifed by remote caches or remote memory.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions, satisifed by an opcode,  inserted into the TOR that are satisifed by remote caches or remote memory.",
         "UMask": "0x83",
         "Unit": "CBO"
     },
@@ -1238,7 +1238,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.NID_ALL",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; All NID matched (matches an RTID destination) transactions inserted into the TOR.  The NID is programmed in Cn_MSR_PMON_BOX_FILTER.nid.  In conjunction with STATE = I, it is possible to monitor misses to specific NIDs in the system.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; All NID matched (matches an RTID destination) transactions inserted into the TOR.  The NID is programmed in Cn_MSR_PMON_BOX_FILTER.nid.  In conjunction with STATE = I, it is possible to monitor misses to specific NIDs in the system.",
         "UMask": "0x48",
         "Unit": "CBO"
     },
@@ -1247,7 +1247,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.NID_EVICTION",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; NID matched eviction transactions inserted into the TOR.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; NID matched eviction transactions inserted into the TOR.",
         "UMask": "0x44",
         "Unit": "CBO"
     },
@@ -1256,7 +1256,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.NID_MISS_ALL",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; All NID matched miss requests that were inserted into the TOR.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; All NID matched miss requests that were inserted into the TOR.",
         "UMask": "0x4a",
         "Unit": "CBO"
     },
@@ -1265,7 +1265,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.NID_MISS_OPCODE",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match a NID and an opcode.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Miss transactions inserted into the TOR that match a NID and an opcode.",
         "UMask": "0x43",
         "Unit": "CBO"
     },
@@ -1274,7 +1274,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.NID_OPCODE",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Transactions inserted into the TOR that match a NID and an opcode.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Transactions inserted into the TOR that match a NID and an opcode.",
         "UMask": "0x41",
         "Unit": "CBO"
     },
@@ -1283,7 +1283,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.NID_WB",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; NID matched write transactions inserted into the TOR.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; NID matched write transactions inserted into the TOR.",
         "UMask": "0x50",
         "Unit": "CBO"
     },
@@ -1292,7 +1292,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.OPCODE",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Transactions inserted into the TOR that match an opcode (matched by Cn_MSR_PMON_BOX_FILTER.opc)",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Transactions inserted into the TOR that match an opcode (matched by Cn_MSR_PMON_BOX_FILTER.opc)",
         "UMask": "0x1",
         "Unit": "CBO"
     },
@@ -1301,7 +1301,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.REMOTE",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; All transactions inserted into the TOR that are satisifed by remote caches or remote memory.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; All transactions inserted into the TOR that are satisifed by remote caches or remote memory.",
         "UMask": "0x88",
         "Unit": "CBO"
     },
@@ -1310,7 +1310,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.REMOTE_OPCODE",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; All transactions, satisifed by an opcode,  inserted into the TOR that are satisifed by remote caches or remote memory.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; All transactions, satisifed by an opcode,  inserted into the TOR that are satisifed by remote caches or remote memory.",
         "UMask": "0x81",
         "Unit": "CBO"
     },
@@ -1319,7 +1319,7 @@
         "EventCode": "0x35",
         "EventName": "UNC_C_TOR_INSERTS.WB",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of entries successfully inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Write transactions inserted into the TOR.   This does not include RFO, but actual operations that contain data being sent from the core.",
+        "PublicDescription": "Counts the number of entries successfuly inserted into the TOR that match  qualifications specified by the subevent.  There are a number of subevent 'filters' but only a subset of the subevent combinations are valid.  Subevents that require an opcode or NID match require the Cn_MSR_PMON_BOX_FILTER.{opc, nid} field to be set.  If, for example, one wanted to count DRD Local Misses, one should select MISS_OPC_MATCH and set Cn_MSR_PMON_BOX_FILTER.opc  to DRD (0x182).; Write transactions inserted into the TOR.   This does not include RFO, but actual operations that contain data being sent from the core.",
         "UMask": "0x10",
         "Unit": "CBO"
     },
@@ -1590,7 +1590,7 @@
         "EventCode": "0x2",
         "EventName": "UNC_C_TxR_INSERTS.BL_CORE",
         "PerPkg": "1",
-        "PublicDescription": "Number of allocations into the Cbo Egress.  The Egress is used to queue up requests destined for the ring.; Ring transactions from the Corebo destined for the BL ring.  This is commonly used for transferring writeback data to the cache.",
+        "PublicDescription": "Number of allocations into the Cbo Egress.  The Egress is used to queue up requests destined for the ring.; Ring transactions from the Corebo destined for the BL ring.  This is commonly used for transfering writeback data to the cache.",
         "UMask": "0x40",
         "Unit": "CBO"
     },
@@ -1737,7 +1737,7 @@
         "EventCode": "0x41",
         "EventName": "UNC_H_DIRECTORY_LAT_OPT",
         "PerPkg": "1",
-        "PublicDescription": "Directory Latency Optimization Data Return Path Taken. When directory mode is enabled and the directory returned for a read is Dir=I, then data can be returned using a faster path if certain conditions are met (credits, free pipeline, etc).",
+        "PublicDescription": "Directory Latency Optimization Data Return Path Taken. When directory mode is enabled and the directory retuned for a read is Dir=I, then data can be returned using a faster path if certain conditions are met (credits, free pipeline, etc).",
         "Unit": "HA"
     },
     {
diff --git a/tools/perf/pmu-events/arch/x86/broadwellx/uncore-interconnect.json b/tools/perf/pmu-events/arch/x86/broadwellx/uncore-interconnect.json
index a5457c7ba58b..489a3673323d 100644
--- a/tools/perf/pmu-events/arch/x86/broadwellx/uncore-interconnect.json
+++ b/tools/perf/pmu-events/arch/x86/broadwellx/uncore-interconnect.json
@@ -3,7 +3,7 @@
         "BriefDescription": "Number of non data (control) flits transmitted . Derived from unc_q_txl_flits_g0.non_data",
         "EventName": "QPI_CTL_BANDWIDTH_TX",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits transmitted across the QPI Link.  It includes filters for Idle, protocol, and Data Flits.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of non-NULL non-data flits transmitted across QPI.  This basically tracks the protocol overhead on the QPI link.  One can get a good picture of the QPI-link characteristics by evaluating the protocol flits, data flits, and idle/null flits.  This includes the header flits for data packets.",
+        "PublicDescription": "Counts the number of flits transmitted across the QPI Link.  It includes filters for Idle, protocol, and Data Flits.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of non-NULL non-data flits transmitted across QPI.  This basically tracks the protocol overhead on the QPI link.  One can get a good picture of the QPI-link characteristics by evaluating the protocol flits, data flits, and idle/null flits.  This includes the header flits for data packets.",
         "ScaleUnit": "8Bytes",
         "UMask": "0x4",
         "Unit": "QPI LL"
@@ -12,7 +12,7 @@
         "BriefDescription": "Number of data flits transmitted . Derived from unc_q_txl_flits_g0.data",
         "EventName": "QPI_DATA_BANDWIDTH_TX",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits transmitted across the QPI Link.  It includes filters for Idle, protocol, and Data Flits.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of data flits transmitted over QPI.  Each flit contains 64b of data.  This includes both DRS and NCB data flits (coherent and non-coherent).  This can be used to calculate the data bandwidth of the QPI link.  One can get a good picture of the QPI-link characteristics by evaluating the protocol flits, data flits, and idle/null flits.  This does not include the header flits that go in data packets.",
+        "PublicDescription": "Counts the number of flits transmitted across the QPI Link.  It includes filters for Idle, protocol, and Data Flits.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of data flits transmitted over QPI.  Each flit contains 64b of data.  This includes both DRS and NCB data flits (coherent and non-coherent).  This can be used to calculate the data bandwidth of the QPI link.  One can get a good picture of the QPI-link characteristics by evaluating the protocol flits, data flits, and idle/null flits.  This does not include the header flits that go in data packets.",
         "ScaleUnit": "8Bytes",
         "UMask": "0x2",
         "Unit": "QPI LL"
@@ -134,7 +134,7 @@
         "EventCode": "0x9",
         "EventName": "UNC_Q_RxL_BYPASSED",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of times that an incoming flit was able to bypass the flit buffer and pass directly across the BGF and into the Egress.  This is a latency optimization, and should generally be the common case.  If this value is less than the number of flits transferred, it implies that there was queueing getting onto the ring, and thus the transactions saw higher latency.",
+        "PublicDescription": "Counts the number of times that an incoming flit was able to bypass the flit buffer and pass directly across the BGF and into the Egress.  This is a latency optimization, and should generally be the common case.  If this value is less than the number of flits transfered, it implies that there was queueing getting onto the ring, and thus the transactions saw higher latency.",
         "Unit": "QPI LL"
     },
     {
@@ -391,7 +391,7 @@
         "EventCode": "0x1",
         "EventName": "UNC_Q_RxL_FLITS_G0.IDLE",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits received from the QPI Link.  It includes filters for Idle, protocol, and Data Flits.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of flits received over QPI that do not hold protocol payload.  When QPI is not in a power saving state, it continuously transmits flits across the link.  When there are no protocol flits to send, it will send IDLE and NULL flits  across.  These flits sometimes do carry a payload, such as credit returns, but are generall not considered part of the QPI bandwidth.",
+        "PublicDescription": "Counts the number of flits received from the QPI Link.  It includes filters for Idle, protocol, and Data Flits.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of flits received over QPI that do not hold protocol payload.  When QPI is not in a power saving state, it continuously transmits flits across the link.  When there are no protocol flits to send, it will send IDLE and NULL flits  across.  These flits sometimes do carry a payload, such as credit returns, but are generall not considered part of the QPI bandwidth.",
         "UMask": "0x1",
         "Unit": "QPI LL"
     },
@@ -400,7 +400,7 @@
         "EventCode": "0x2",
         "EventName": "UNC_Q_RxL_FLITS_G1.DRS",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits received over QPI on the DRS (Data Response) channel.  DRS flits are used to transmit data with coherency.  This does not count data flits received over the NCB channel which transmits non-coherent data.",
+        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits received over QPI on the DRS (Data Response) channel.  DRS flits are used to transmit data with coherency.  This does not count data flits received over the NCB channel which transmits non-coherent data.",
         "UMask": "0x18",
         "Unit": "QPI LL"
     },
@@ -409,7 +409,7 @@
         "EventCode": "0x2",
         "EventName": "UNC_Q_RxL_FLITS_G1.DRS_DATA",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of data flits received over QPI on the DRS (Data Response) channel.  DRS flits are used to transmit data with coherency.  This does not count data flits received over the NCB channel which transmits non-coherent data.  This includes only the data flits (not the header).",
+        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of data flits received over QPI on the DRS (Data Response) channel.  DRS flits are used to transmit data with coherency.  This does not count data flits received over the NCB channel which transmits non-coherent data.  This includes only the data flits (not the header).",
         "UMask": "0x8",
         "Unit": "QPI LL"
     },
@@ -418,7 +418,7 @@
         "EventCode": "0x2",
         "EventName": "UNC_Q_RxL_FLITS_G1.DRS_NONDATA",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of protocol flits received over QPI on the DRS (Data Response) channel.  DRS flits are used to transmit data with coherency.  This does not count data flits received over the NCB channel which transmits non-coherent data.  This includes only the header flits (not the data).  This includes extended headers.",
+        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of protocol flits received over QPI on the DRS (Data Response) channel.  DRS flits are used to transmit data with coherency.  This does not count data flits received over the NCB channel which transmits non-coherent data.  This includes only the header flits (not the data).  This includes extended headers.",
         "UMask": "0x10",
         "Unit": "QPI LL"
     },
@@ -427,7 +427,7 @@
         "EventCode": "0x2",
         "EventName": "UNC_Q_RxL_FLITS_G1.HOM",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of flits received over QPI on the home channel.",
+        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of flits received over QPI on the home channel.",
         "UMask": "0x6",
         "Unit": "QPI LL"
     },
@@ -436,7 +436,7 @@
         "EventCode": "0x2",
         "EventName": "UNC_Q_RxL_FLITS_G1.HOM_NONREQ",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of non-request flits received over QPI on the home channel.  These are most commonly snoop responses, and this event can be used as a proxy for that.",
+        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of non-request flits received over QPI on the home channel.  These are most commonly snoop responses, and this event can be used as a proxy for that.",
         "UMask": "0x4",
         "Unit": "QPI LL"
     },
@@ -445,7 +445,7 @@
         "EventCode": "0x2",
         "EventName": "UNC_Q_RxL_FLITS_G1.HOM_REQ",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of data request received over QPI on the home channel.  This basically counts the number of remote memory requests received over QPI.  In conjunction with the local read count in the Home Agent, one can calculate the number of LLC Misses.",
+        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of data request received over QPI on the home channel.  This basically counts the number of remote memory requests received over QPI.  In conjunction with the local read count in the Home Agent, one can calculate the number of LLC Misses.",
         "UMask": "0x2",
         "Unit": "QPI LL"
     },
@@ -454,7 +454,7 @@
         "EventCode": "0x2",
         "EventName": "UNC_Q_RxL_FLITS_G1.SNP",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of snoop request flits received over QPI.  These requests are contained in the snoop channel.  This does not include snoop responses, which are received on the home channel.",
+        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of snoop request flits received over QPI.  These requests are contained in the snoop channel.  This does not include snoop responses, which are received on the home channel.",
         "UMask": "0x1",
         "Unit": "QPI LL"
     },
@@ -463,7 +463,7 @@
         "EventCode": "0x3",
         "EventName": "UNC_Q_RxL_FLITS_G2.NCB",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass flits.  These packets are generally used to transmit non-coherent data across QPI.",
+        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass flits.  These packets are generally used to transmit non-coherent data across QPI.",
         "UMask": "0xc",
         "Unit": "QPI LL"
     },
@@ -472,7 +472,7 @@
         "EventCode": "0x3",
         "EventName": "UNC_Q_RxL_FLITS_G2.NCB_DATA",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass data flits.  These flits are generally used to transmit non-coherent data across QPI.  This does not include a count of the DRS (coherent) data flits.  This only counts the data flits, not the NCB headers.",
+        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass data flits.  These flits are generally used to transmit non-coherent data across QPI.  This does not include a count of the DRS (coherent) data flits.  This only counts the data flits, not the NCB headers.",
         "UMask": "0x4",
         "Unit": "QPI LL"
     },
@@ -481,7 +481,7 @@
         "EventCode": "0x3",
         "EventName": "UNC_Q_RxL_FLITS_G2.NCB_NONDATA",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass non-data flits.  These packets are generally used to transmit non-coherent data across QPI, and the flits counted here are for headers and other non-data flits.  This includes extended headers.",
+        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass non-data flits.  These packets are generally used to transmit non-coherent data across QPI, and the flits counted here are for headers and other non-data flits.  This includes extended headers.",
         "UMask": "0x8",
         "Unit": "QPI LL"
     },
@@ -490,7 +490,7 @@
         "EventCode": "0x3",
         "EventName": "UNC_Q_RxL_FLITS_G2.NCS",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of NCS (non-coherent standard) flits received over QPI.    This includes extended headers.",
+        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of NCS (non-coherent standard) flits received over QPI.    This includes extended headers.",
         "UMask": "0x10",
         "Unit": "QPI LL"
     },
@@ -499,7 +499,7 @@
         "EventCode": "0x3",
         "EventName": "UNC_Q_RxL_FLITS_G2.NDR_AD",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits received over the NDR (Non-Data Response) channel.  This channel is used to send a variety of protocol flits including grants and completions.  This is only for NDR packets to the local socket which use the AK ring.",
+        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits received over the NDR (Non-Data Response) channel.  This channel is used to send a variety of protocol flits including grants and completions.  This is only for NDR packets to the local socket which use the AK ring.",
         "UMask": "0x1",
         "Unit": "QPI LL"
     },
@@ -508,7 +508,7 @@
         "EventCode": "0x3",
         "EventName": "UNC_Q_RxL_FLITS_G2.NDR_AK",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits received over the NDR (Non-Data Response) channel.  This channel is used to send a variety of protocol flits including grants and completions.  This is only for NDR packets destined for Route-thru to a remote socket.",
+        "PublicDescription": "Counts the number of flits received from the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits received over the NDR (Non-Data Response) channel.  This channel is used to send a variety of protocol flits including grants and completions.  This is only for NDR packets destined for Route-thru to a remote socket.",
         "UMask": "0x2",
         "Unit": "QPI LL"
     },
@@ -924,7 +924,7 @@
         "BriefDescription": "Flits Transferred - Group 0; Data Tx Flits",
         "EventName": "UNC_Q_TxL_FLITS_G0.DATA",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits transmitted across the QPI Link.  It includes filters for Idle, protocol, and Data Flits.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of data flits transmitted over QPI.  Each flit contains 64b of data.  This includes both DRS and NCB data flits (coherent and non-coherent).  This can be used to calculate the data bandwidth of the QPI link.  One can get a good picture of the QPI-link characteristics by evaluating the protocol flits, data flits, and idle/null flits.  This does not include the header flits that go in data packets.",
+        "PublicDescription": "Counts the number of flits transmitted across the QPI Link.  It includes filters for Idle, protocol, and Data Flits.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of data flits transmitted over QPI.  Each flit contains 64b of data.  This includes both DRS and NCB data flits (coherent and non-coherent).  This can be used to calculate the data bandwidth of the QPI link.  One can get a good picture of the QPI-link characteristics by evaluating the protocol flits, data flits, and idle/null flits.  This does not include the header flits that go in data packets.",
         "UMask": "0x2",
         "Unit": "QPI LL"
     },
@@ -932,7 +932,7 @@
         "BriefDescription": "Flits Transferred - Group 0; Non-Data protocol Tx Flits",
         "EventName": "UNC_Q_TxL_FLITS_G0.NON_DATA",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits transmitted across the QPI Link.  It includes filters for Idle, protocol, and Data Flits.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of non-NULL non-data flits transmitted across QPI.  This basically tracks the protocol overhead on the QPI link.  One can get a good picture of the QPI-link characteristics by evaluating the protocol flits, data flits, and idle/null flits.  This includes the header flits for data packets.",
+        "PublicDescription": "Counts the number of flits transmitted across the QPI Link.  It includes filters for Idle, protocol, and Data Flits.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time (for L0) or 4B instead of 8B for L0p.; Number of non-NULL non-data flits transmitted across QPI.  This basically tracks the protocol overhead on the QPI link.  One can get a good picture of the QPI-link characteristics by evaluating the protocol flits, data flits, and idle/null flits.  This includes the header flits for data packets.",
         "UMask": "0x4",
         "Unit": "QPI LL"
     },
@@ -940,7 +940,7 @@
         "BriefDescription": "Flits Transferred - Group 1; DRS Flits (both Header and Data)",
         "EventName": "UNC_Q_TxL_FLITS_G1.DRS",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits transmitted over QPI on the DRS (Data Response) channel.  DRS flits are used to transmit data with coherency.",
+        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits transmitted over QPI on the DRS (Data Response) channel.  DRS flits are used to transmit data with coherency.",
         "UMask": "0x18",
         "Unit": "QPI LL"
     },
@@ -948,7 +948,7 @@
         "BriefDescription": "Flits Transferred - Group 1; DRS Data Flits",
         "EventName": "UNC_Q_TxL_FLITS_G1.DRS_DATA",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of data flits transmitted over QPI on the DRS (Data Response) channel.  DRS flits are used to transmit data with coherency.  This does not count data flits transmitted over the NCB channel which transmits non-coherent data.  This includes only the data flits (not the header).",
+        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of data flits transmitted over QPI on the DRS (Data Response) channel.  DRS flits are used to transmit data with coherency.  This does not count data flits transmitted over the NCB channel which transmits non-coherent data.  This includes only the data flits (not the header).",
         "UMask": "0x8",
         "Unit": "QPI LL"
     },
@@ -956,7 +956,7 @@
         "BriefDescription": "Flits Transferred - Group 1; DRS Header Flits",
         "EventName": "UNC_Q_TxL_FLITS_G1.DRS_NONDATA",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of protocol flits transmitted over QPI on the DRS (Data Response) channel.  DRS flits are used to transmit data with coherency.  This does not count data flits transmitted over the NCB channel which transmits non-coherent data.  This includes only the header flits (not the data).  This includes extended headers.",
+        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of protocol flits transmitted over QPI on the DRS (Data Response) channel.  DRS flits are used to transmit data with coherency.  This does not count data flits transmitted over the NCB channel which transmits non-coherent data.  This includes only the header flits (not the data).  This includes extended headers.",
         "UMask": "0x10",
         "Unit": "QPI LL"
     },
@@ -964,7 +964,7 @@
         "BriefDescription": "Flits Transferred - Group 1; HOM Flits",
         "EventName": "UNC_Q_TxL_FLITS_G1.HOM",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of flits transmitted over QPI on the home channel.",
+        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of flits transmitted over QPI on the home channel.",
         "UMask": "0x6",
         "Unit": "QPI LL"
     },
@@ -972,7 +972,7 @@
         "BriefDescription": "Flits Transferred - Group 1; HOM Non-Request Flits",
         "EventName": "UNC_Q_TxL_FLITS_G1.HOM_NONREQ",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of non-request flits transmitted over QPI on the home channel.  These are most commonly snoop responses, and this event can be used as a proxy for that.",
+        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of non-request flits transmitted over QPI on the home channel.  These are most commonly snoop responses, and this event can be used as a proxy for that.",
         "UMask": "0x4",
         "Unit": "QPI LL"
     },
@@ -980,7 +980,7 @@
         "BriefDescription": "Flits Transferred - Group 1; HOM Request Flits",
         "EventName": "UNC_Q_TxL_FLITS_G1.HOM_REQ",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of data request transmitted over QPI on the home channel.  This basically counts the number of remote memory requests transmitted over QPI.  In conjunction with the local read count in the Home Agent, one can calculate the number of LLC Misses.",
+        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of data request transmitted over QPI on the home channel.  This basically counts the number of remote memory requests transmitted over QPI.  In conjunction with the local read count in the Home Agent, one can calculate the number of LLC Misses.",
         "UMask": "0x2",
         "Unit": "QPI LL"
     },
@@ -988,7 +988,7 @@
         "BriefDescription": "Flits Transferred - Group 1; SNP Flits",
         "EventName": "UNC_Q_TxL_FLITS_G1.SNP",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of snoop request flits transmitted over QPI.  These requests are contained in the snoop channel.  This does not include snoop responses, which are transmitted on the home channel.",
+        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for SNP, HOM, and DRS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the number of snoop request flits transmitted over QPI.  These requests are contained in the snoop channel.  This does not include snoop responses, which are transmitted on the home channel.",
         "UMask": "0x1",
         "Unit": "QPI LL"
     },
@@ -997,7 +997,7 @@
         "EventCode": "0x1",
         "EventName": "UNC_Q_TxL_FLITS_G2.NCB",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass flits.  These packets are generally used to transmit non-coherent data across QPI.",
+        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass flits.  These packets are generally used to transmit non-coherent data across QPI.",
         "UMask": "0xc",
         "Unit": "QPI LL"
     },
@@ -1006,7 +1006,7 @@
         "EventCode": "0x1",
         "EventName": "UNC_Q_TxL_FLITS_G2.NCB_DATA",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass data flits.  These flits are generally used to transmit non-coherent data across QPI.  This does not include a count of the DRS (coherent) data flits.  This only counts the data flits, not te NCB headers.",
+        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass data flits.  These flits are generally used to transmit non-coherent data across QPI.  This does not include a count of the DRS (coherent) data flits.  This only counts the data flits, not te NCB headers.",
         "UMask": "0x4",
         "Unit": "QPI LL"
     },
@@ -1015,7 +1015,7 @@
         "EventCode": "0x1",
         "EventName": "UNC_Q_TxL_FLITS_G2.NCB_NONDATA",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass non-data flits.  These packets are generally used to transmit non-coherent data across QPI, and the flits counted here are for headers and other non-data flits.  This includes extended headers.",
+        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of Non-Coherent Bypass non-data flits.  These packets are generally used to transmit non-coherent data across QPI, and the flits counted here are for headers and other non-data flits.  This includes extended headers.",
         "UMask": "0x8",
         "Unit": "QPI LL"
     },
@@ -1024,7 +1024,7 @@
         "EventCode": "0x1",
         "EventName": "UNC_Q_TxL_FLITS_G2.NCS",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of NCS (non-coherent standard) flits transmitted over QPI.    This includes extended headers.",
+        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Number of NCS (non-coherent standard) flits transmitted over QPI.    This includes extended headers.",
         "UMask": "0x10",
         "Unit": "QPI LL"
     },
@@ -1033,7 +1033,7 @@
         "EventCode": "0x1",
         "EventName": "UNC_Q_TxL_FLITS_G2.NDR_AD",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits transmitted over the NDR (Non-Data Response) channel.  This channel is used to send a variety of protocol flits including grants and completions.  This is only for NDR packets to the local socket which use the AK ring.",
+        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits transmitted over the NDR (Non-Data Response) channel.  This channel is used to send a variety of protocol flits including grants and completions.  This is only for NDR packets to the local socket which use the AK ring.",
         "UMask": "0x1",
         "Unit": "QPI LL"
     },
@@ -1042,7 +1042,7 @@
         "EventCode": "0x1",
         "EventName": "UNC_Q_TxL_FLITS_G2.NDR_AK",
         "PerPkg": "1",
-        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transferring a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits transmitted over the NDR (Non-Data Response) channel.  This channel is used to send a variety of protocol flits including grants and completions.  This is only for NDR packets destined for Route-thru to a remote socket.",
+        "PublicDescription": "Counts the number of flits trasmitted across the QPI Link.  This is one of three groups that allow us to track flits.  It includes filters for NDR, NCB, and NCS message classes.  Each flit is made up of 80 bits of information (in addition to some ECC data).  In full-width (L0) mode, flits are made up of four fits, each of which contains 20 bits of data (along with some additional ECC data).   In half-width (L0p) mode, the fits are only 10 bits, and therefore it takes twice as many fits to transmit a flit.  When one talks about QPI speed (for example, 8.0 GT/s), the transfers here refer to fits.  Therefore, in L0, the system will transfer 1 flit at the rate of 1/4th the QPI speed.  One can calculate the bandwidth of the link by taking: flits*80b/time.  Note that this is not the same as data bandwidth.  For example, when we are transfering a 64B cacheline across QPI, we will break it into 9 flits -- 1 with header information and 8 with 64 bits of actual data and an additional 16 bits of other information.  To calculate data bandwidth, one should therefore do: data flits * 8B / time.; Counts the total number of flits transmitted over the NDR (Non-Data Response) channel.  This channel is used to send a variety of protocol flits including grants and completions.  This is only for NDR packets destined for Route-thru to a remote socket.",
         "UMask": "0x2",
         "Unit": "QPI LL"
     },
diff --git a/tools/perf/pmu-events/arch/x86/broadwellx/uncore-other.json b/tools/perf/pmu-events/arch/x86/broadwellx/uncore-other.json
index 495e34ee5bfb..a80d931dc3d5 100644
--- a/tools/perf/pmu-events/arch/x86/broadwellx/uncore-other.json
+++ b/tools/perf/pmu-events/arch/x86/broadwellx/uncore-other.json
@@ -2312,7 +2312,7 @@
         "EventCode": "0x33",
         "EventName": "UNC_R3_VNA_CREDITS_ACQUIRED.AD",
         "PerPkg": "1",
-        "PublicDescription": "Number of QPI VNA Credit acquisitions.  This event can be used in conjunction with the VNA In-Use Accumulator to calculate the average lifetime of a credit holder.  VNA credits are used by all message classes in order to communicate across QPI.  If a packet is unable to acquire credits, it will then attempt to use credts from the VN0 pool.  Note that a single packet may require multiple flit buffers (i.e. when data is being transferred).  Therefore, this event will increment by the number of credits acquired in each cycle.  Filtering based on message class is not provided.  One can count the number of packets transferred in a given message class using an qfclk event.; Filter for the Home (HOM) message class.  HOM is generally used to send requests, request responses, and snoop responses.",
+        "PublicDescription": "Number of QPI VNA Credit acquisitions.  This event can be used in conjunction with the VNA In-Use Accumulator to calculate the average lifetime of a credit holder.  VNA credits are used by all message classes in order to communicate across QPI.  If a packet is unable to acquire credits, it will then attempt to use credts from the VN0 pool.  Note that a single packet may require multiple flit buffers (i.e. when data is being transfered).  Therefore, this event will increment by the number of credits acquired in each cycle.  Filtering based on message class is not provided.  One can count the number of packets transfered in a given message class using an qfclk event.; Filter for the Home (HOM) message class.  HOM is generally used to send requests, request responses, and snoop responses.",
         "UMask": "0x1",
         "Unit": "R3QPI"
     },
@@ -2321,7 +2321,7 @@
         "EventCode": "0x33",
         "EventName": "UNC_R3_VNA_CREDITS_ACQUIRED.BL",
         "PerPkg": "1",
-        "PublicDescription": "Number of QPI VNA Credit acquisitions.  This event can be used in conjunction with the VNA In-Use Accumulator to calculate the average lifetime of a credit holder.  VNA credits are used by all message classes in order to communicate across QPI.  If a packet is unable to acquire credits, it will then attempt to use credts from the VN0 pool.  Note that a single packet may require multiple flit buffers (i.e. when data is being transferred).  Therefore, this event will increment by the number of credits acquired in each cycle.  Filtering based on message class is not provided.  One can count the number of packets transferred in a given message class using an qfclk event.; Filter for the Home (HOM) message class.  HOM is generally used to send requests, request responses, and snoop responses.",
+        "PublicDescription": "Number of QPI VNA Credit acquisitions.  This event can be used in conjunction with the VNA In-Use Accumulator to calculate the average lifetime of a credit holder.  VNA credits are used by all message classes in order to communicate across QPI.  If a packet is unable to acquire credits, it will then attempt to use credts from the VN0 pool.  Note that a single packet may require multiple flit buffers (i.e. when data is being transfered).  Therefore, this event will increment by the number of credits acquired in each cycle.  Filtering based on message class is not provided.  One can count the number of packets transfered in a given message class using an qfclk event.; Filter for the Home (HOM) message class.  HOM is generally used to send requests, request responses, and snoop responses.",
         "UMask": "0x4",
         "Unit": "R3QPI"
     },
-- 
2.39.2.637.g21b0678d19-goog