Re: [PATCH RFC 6/8] SUNRPC: Reduce rpciod workqueue contention

From: tmenninger

Date: Tue Sep 08 2026 - 19:40:06 EST


> cache_shard is the system default, and that is what the workqueue
> used before this series

Right, bummer, I was thinking default was WQ_AFFN_CACHE.

> 1. Toggle affinity_strict under smt:
>
> echo 1 > /sys/bus/workqueue/devices/rpciod/affinity_strict
>
> Strict pins each pool's kworkers to its SMT pair. If strict
> recovers throughput, the loss comes from non-strict workers
> being wake-affined or migrated onto the saturated node. If
> strict makes it worse, node 0's pools are starved and the fix
> is to let work spill to node 1. Either result cuts the
> hypothesis space in half, so if you have time for only one of
> these, this is the one.

Strict makes it worse. Across five runs, the three all-local CQ
placements ran at 38, 36, and 39 GB/s, while the two split placements
both ran at 46 GB/s.

> 2. Walk the scope ladder: cpu, smt, cache, cache_shard, numa, and
> report throughput for each. If cpu is as bad as smt, pool
> granularity itself is the problem. If cache already recovers,
> the threshold sits between 2-thread and 16-thread pods.

cpu: 37 GBps
smt: 43 GBps
cache: 47 GBps
cache_shard: 47 GBps
numa: 47 GBps

> 3. Profile the smt and cache_shard windows of one run, node 0 CPUs
> only, so the two captures differ in nothing but the scope:
>
> perf record -a -g -C 0-23,48-71 -- sleep 10
> perf lock contention -a -C 0-23,48-71 -- sleep 10
> perf stat -a -C 0-23,48-71 \
> -e context-switches,cpu-migrations,sched:sched_wakeup \
> -- sleep 10

The lock profile is dominated by __slab_free in both cases.

For smt, perf report shows:

native_queued_spin_lock_slowpath 87.07% self

and its callchain is almost entirely:

rpc_async_release
-> rpc_free_task
-> ff_layout_read_release
-> pnfs_generic_rw_release
-> nfs_pgio_release
-> nfs_direct_read_completion
-> nfs_release_request
-> nfs_free_request
-> kmem_cache_free
-> __slab_free
-> _raw_spin_lock_irqsave
-> native_queued_spin_lock_slowpath

cache_shard looks surprisingly similar:

native_queued_spin_lock_slowpath 85.84% self

with the same nfs_release_request -> nfs_free_request ->
kmem_cache_free -> __slab_free path dominating the profile.

perf lock reports the same general picture. For smt:

__slab_free:
2.07M contentions
3.83 minutes aggregate wait
111 us average wait

and for cache_shard:

__slab_free:
2.27M contentions
3.65 minutes aggregate wait
96 us average wait

process_one_work itself is much smaller:

smt cache_shard
contentions 34 2087
total wait 91 us 7.13 ms

Scheduler counters:

smt cache_shard
context switches 2,184,584 3,107,991
CPU migrations 129,706 499,400
sched_wakeup 1,176,787 1,776,031

> The two candidates I have in mind are a downstream lock, such as
> the transport's queue_lock or recv_lock, contended by 24 small
> pools running completions in parallel; or scheduler overhead
> from each pool waking its own kworkers. The %sys, %irq, and
> %soft columns from the same mpstat runs would help too, since
> idle alone does not say what the busy CPUs are doing.

For the all-local case, essentially all of the busy time on that node
is %sys. %irq and %soft are both approximately zero. A few CPUs have
low-single-digit %usr.

For the 17/15 split, CPUs 0-2 have low-single-digit %soft, but aggregate
%soft is only about 0.10%. Otherwise it looks the same: the busy time
is overwhelmingly %sys, with a few CPUs showing low-single-digit %usr.

> 4. With the even 17/15 CQ split and rpciod at cache_shard, a perf
> profile shows whether the pool-lock slowpath the series targets
> appears on your box at all. If it does not, cache_shard is
> correct for your system, and the series needs a way to express
> that rather than one hardcoded scope.

It is present, but it does not appear significant compared with the
slab contention.

With the 17/15 split and cache_shard:

process_one_work:
5,598 contentions
29.33 ms aggregate wait
5.24 us average wait

In the same 5-second capture, __slab_free has about 1.61M contentions
and 2.66 minutes aggregate wait. get_partial_node_bulk and
__refill_objects_node are both around 19K contentions and ~200 ms total
wait.