Re: [PATCH] perf record: add a shortcut for metrics
From: Arnaldo Carvalho de Melo
Date: Tue May 28 2024 - 14:20:20 EST
On Tue, May 28, 2024 at 11:55:00AM -0400, Liang, Kan wrote:
> On 2024-05-28 7:57 a.m., Artem Savkov wrote:
> > On Mon, May 27, 2024 at 10:01:37PM -0700, Ian Rogers wrote:
> >> On Mon, May 27, 2024 at 10:46 AM Arnaldo Carvalho de Melo
> >> <acme@xxxxxxxxxx> wrote:
> >>>
> >>> On Mon, May 27, 2024 at 02:28:32PM -0300, Arnaldo Carvalho de Melo wrote:
> >>>> On Mon, May 27, 2024 at 02:04:54PM -0300, Arnaldo Carvalho de Melo wrote:
> >>>>> On Mon, May 27, 2024 at 02:02:33PM -0300, Arnaldo Carvalho de Melo wrote:
> >>>>>> On Mon, May 27, 2024 at 12:15:19PM +0200, Artem Savkov wrote:
> >>>>>>> Add -M/--metrics option to perf-record providing a shortcut to record
> >>>>>>> metrics and metricgroups. This option mirrors the one in perf-stat.
> >>>>
> >>>>>>> Suggested-by: Arnaldo Carvalho de Melo <acme@xxxxxxxxxx>
> >>>>>>> Signed-off-by: Artem Savkov <asavkov@xxxxxxxxxx>
> >>>
> >>>> How did you test this?
> >>>
> >>>> The idea, from my notes, was to be able to have extra columns in 'perf
> >>>> report' with things like IPC and other metrics, probably not all metrics
> >>>> will apply. We need to find a way to find out which ones are OK for that
> >>>> purpose, for instance:
> >>>
> >>> One that may make sense:
> >>>
> >>> root@number:~# perf record -M tma_fb_full
> >>> ^C[ perf record: Woken up 1 times to write data ]
> >>> [ perf record: Captured and wrote 3.846 MB perf.data (21745 samples) ]
> >>>
> >>> root@number:~# perf evlist
> >>> cpu_core/CPU_CLK_UNHALTED.THREAD/
> >>> cpu_core/L1D_PEND_MISS.FB_FULL/
> >>> dummy:u
> >>> root@number:~#
> >>>
> >>> But then we need to read both to do the math, maybe something like:
> >>>
> >>> root@number:~# perf record -e '{cpu_core/CPU_CLK_UNHALTED.THREAD/,cpu_core/L1D_PEND_MISS.FB_FULL/}:S'
> >>> ^C[ perf record: Woken up 40 times to write data ]
> >>> [ perf record: Captured and wrote 14.640 MB perf.data (219990 samples) ]
> >>>
> >>> root@number:~# perf script | head
> >>> cc1plus 1339704 [000] 36028.995981: 2011389 cpu_core/CPU_CLK_UNHALTED.THREAD/: 1097303 [unknown] (/usr/libexec/gcc/x86_64-pc-linux-gnu/13/cc1plus)
> >>> cc1plus 1339704 [000] 36028.995981: 26231 cpu_core/L1D_PEND_MISS.FB_FULL/: 1097303 [unknown] (/usr/libexec/gcc/x86_64-pc-linux-gnu/13/cc1plus)
> >>> cc1plus 1340011 [001] 36028.996008: 2004568 cpu_core/CPU_CLK_UNHALTED.THREAD/: 8c23b4 [unknown] (/usr/libexec/gcc/x86_64-pc-linux-gnu/13/cc1plus)
> >>> cc1plus 1340011 [001] 36028.996008: 20113 cpu_core/L1D_PEND_MISS.FB_FULL/: 8c23b4 [unknown] (/usr/libexec/gcc/x86_64-pc-linux-gnu/13/cc1plus)
> >>> clang 1340462 [002] 36028.996043: 2007356 cpu_core/CPU_CLK_UNHALTED.THREAD/: ffffffffb43b045d release_pages+0x3dd ([kernel.kallsyms])
> >>> clang 1340462 [002] 36028.996043: 23481 cpu_core/L1D_PEND_MISS.FB_FULL/: ffffffffb43b045d release_pages+0x3dd ([kernel.kallsyms])
> >>> cc1plus 1339622 [003] 36028.996066: 2004148 cpu_core/CPU_CLK_UNHALTED.THREAD/: 760874 [unknown] (/usr/libexec/gcc/x86_64-pc-linux-gnu/13/cc1plus)
> >>> cc1plus 1339622 [003] 36028.996066: 31935 cpu_core/L1D_PEND_MISS.FB_FULL/: 760874 [unknown] (/usr/libexec/gcc/x86_64-pc-linux-gnu/13/cc1plus)
> >>> as 1340513 [004] 36028.996097: 2005052 cpu_core/CPU_CLK_UNHALTED.THREAD/: ffffffffb4491d65 __count_memcg_events+0x55 ([kernel.kallsyms])
> >>> as 1340513 [004] 36028.996097: 45084 cpu_core/L1D_PEND_MISS.FB_FULL/: ffffffffb4491d65 __count_memcg_events+0x55 ([kernel.kallsyms])
> >>> root@number:~#
> >>>
> >>> root@number:~# perf report --stdio -F +period | head -20
> >>> # To display the perf.data header info, please use --header/--header-only options.
> >>> #
> >>> #
> >>> # Total Lost Samples: 0
> >>> #
> >>> # Samples: 219K of events 'anon group { cpu_core/CPU_CLK_UNHALTED.THREAD/, cpu_core/L1D_PEND_MISS.FB_FULL/ }'
> >>> # Event count (approx.): 216528524863
> >>> #
> >>> # Overhead Period Command Shared Object Symbol
> >>> # ................ .................... ......... ................. ....................................
> >>> #
> >>> 4.01% 1.09% 8538169256 39826572 podman [kernel.kallsyms] [k] native_queued_spin_lock_slowpath
> >>> 1.35% 1.17% 2863376078 42829266 cc1plus cc1plus [.] 0x00000000003f6bcc
> >>> 0.94% 0.78% 1990639149 28408591 cc1plus cc1plus [.] 0x00000000003f6be4
> >>> 0.65% 0.17% 1375916283 6109515 podman [kernel.kallsyms] [k] _raw_spin_lock_irqsave
> >>> 0.61% 0.99% 1304418325 36198834 cc1plus [kernel.kallsyms] [k] get_mem_cgroup_from_mm
> >>> 0.52% 0.42% 1103054030 15427418 cc1plus cc1plus [.] 0x0000000000ca6c69
> >>> 0.51% 0.17% 1094200572 6299289 podman [kernel.kallsyms] [k] psi_group_change
> >>> 0.42% 0.41% 893633315 14778675 cc1plus cc1plus [.] 0x00000000018afafe
> >>> 0.42% 1.29% 887664793 47046952 cc1plus [kernel.kallsyms] [k] asm_exc_page_fault
> >>> root@number:~#
> >>>
> >>> That 'tma_fb_full' metric then would be another column, calculated from
> >>> the sampled components of its metric equation:
> >>>
> >>> root@number:~# perf list tma_fb_full | head
> >>>
> >>> Metric Groups:
> >>>
> >>> MemoryBW: [Grouping from Top-down Microarchitecture Analysis Metrics spreadsheet]
> >>> tma_fb_full
> >>> [This metric does a *rough estimation* of how often L1D Fill Buffer
> >>> unavailability limited additional L1D miss memory access requests to
> >>> proceed]
> >>>
> >>> TopdownL4: [Metrics for top-down breakdown at level 4]
> >>> root@number:~#
> >>>
> >>> This is roughly what we brainstormed, to support metrics in other tools
> >>> than 'perf stat' but we need to check the possibilities and limitations
> >>> of such an idea, hopefully this discussion will help with that,
> >>
> >> Putting metrics next to code in perf report/annotate sounds good to
> >> me, opening all events from a metric as if we want to sample on them
> >> less so.
> >
> > The idea was to record whatever data was asked on record step and
> > provide the list of all metrics that can be calculated out of that data
> > in perf report, e.g. you could record tma_info_thread_ipc but report
> > will suggest both it and tma_info_thread_cpi.
> >
>
> Do you mean that sample all the events in a metrics, and report both
> samples and its metrics calculation result in the report?
> That doesn't work for all the metrics.
IIRC Guilherme was mentioning having extra metrics on report was
something he missed that is available on tools such as VTune, Guilherme?
- Arnaldo
> - For the topdown related metrics, especially on ICL and later
> platforms, the perf metrics feature is used by default. It doesn't
> support sampling.
> https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/tree/tools/perf/Documentation/topdown.txt?#n293
> - Some PMUs which doesn't support sampling as well, e.g., uncore, Power,
> MSR.
> - There are some SW events, e.g.,duration_time, you may don't want to do
> sampling
>
> You probable need to introduce a flag to ignore those metrics in perf
> record.
>
> >> We don't have metrics working with `perf stat record`, I
> >> think Kan may have volunteered for that, but it seems like something
> >> more urgent than expanding `perf record`. Presumably the way the
> >> metric would be recorded for that could also benefit this effort.
> >>
> >> If you look at the tma metrics a number of them have a "Sample with".
> >> For example:
> >> ```
> >> $ perf list -v
> >> ...
> >> tma_branch_mispredicts
> >> [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_bad_spec_branch_misprediction_cost,tma_info_bottleneck_mispredictions,
> >> tma_mispredicts_resteers]
> >> ...
> >> ```
> >> It could be logical for `perf record -M tma_branch_mispredicts ...` to
> >> be translated to `perf record -e BR_MISP_RETIRED.ALL_BRANCHES ...`
> >> rather than to do any form of counting.
> >
> > Thanks for the pointer, I'll see how this could be done.
>
> It sounds more reasonable to me that we can sample some typical events,
> and read the other members in the metrics. So we can put metrics next to
> the code in perf report/annotate as Ian mentioned. It could also address
> limits of some metrics, especially for the topdown related metrics.
> (But I'm not sure if the "Sample with" can give you the right hints. I
> will ask around internally.)
>
> But there is also some limits for the sampling read. Everything has to
> be in a group. That could be a problem for some big metrics.
> Thanks,
> Kan