Thread (22 messages) 22 messages, 5 authors, 2018-05-02

Re: Page allocator bottleneck

From: Aaron Lu <hidden>
Date: 2018-04-21 08:14:41
Also in: linux-mm

Sorry to bring up an old thread...

On Thu, Nov 02, 2017 at 07:21:09PM +0200, Tariq Toukan wrote:

On 18/09/2017 12:16 PM, Tariq Toukan wrote:
quoted

On 15/09/2017 1:23 PM, Mel Gorman wrote:
quoted
On Thu, Sep 14, 2017 at 07:49:31PM +0300, Tariq Toukan wrote:
quoted
Insights: Major degradation between #1 and #2, not getting any
close to linerate! Degradation is fixed between #2 and #3. This is
because page allocator cannot stand the higher allocation rate. In
#2, we also see that the addition of rings (cores) reduces BW (!!),
as result of increasing congestion over shared resources.
Unfortunately, no surprises there.
quoted
Congestion in this case is very clear. When monitored in perf
top: 85.58% [kernel] [k] queued_spin_lock_slowpath
While it's not proven, the most likely candidate is the zone lock
and that should be confirmed using a call-graph profile. If so, then
the suggestion to tune to the size of the per-cpu allocator would
mitigate the problem.
Indeed, I tuned the per-cpu allocator and bottleneck is released.
Hi all,

After leaving this task for a while doing other tasks, I got back to it now
and see that the good behavior I observed earlier was not stable.
I posted a patchset to improve zone->lock contention for order-0 pages
recently, it can almost eliminate 80% zone->lock contention for
will-it-scale/page_fault1 testcase when tested on a 2 sockets Intel
Skylake server and it doesn't require PCP size tune, so should have
some effects on your workload where one CPU does allocation while
another does free.

It did this by some disruptive changes:
1 on free path, it skipped doing merge(so could be bad for mixed
  workloads where both 4K and high order pages are needed);
2 on allocation path, it avoided touching multiple cachelines.

RFC v2 patchset:
https://lkml.org/lkml/2018/3/20/171

repo:
https://github.com/aaronlu/linux zone_lock_rfc_v2

 
Recall: I work with a modified driver that allocates a page (4K) per packet
(MTU=1500), in order to simulate the stress on page-allocator in 200Gbps
NICs.

Performance is good as long as pages are available in the allocating cores's
PCP.
Issue is that pages are allocated in one core, then free'd in another,
making it's hard for the PCP to work efficiently, and both the allocator
core and the freeing core need to access the buddy allocator very often.

I'd like to share with you some testing numbers:

Test: ./super_netperf 128 -H 24.134.0.51 -l 1000

100% cpu on all cores, top func in perf:
   84.98%  [kernel]             [k] queued_spin_lock_slowpath

system wide (all cores)
           1135941      kmem:mm_page_alloc

           2606629      kmem:mm_page_free

                 0      kmem:mm_page_alloc_extfrag
           4784616      kmem:mm_page_alloc_zone_locked

              1337      kmem:mm_page_free_batched

           6488213      kmem:mm_page_pcpu_drain

           8925503      net:napi_gro_receive_entry


Two types of cores:
A core mostly running napi (8 such cores):
            221875      kmem:mm_page_alloc

             17100      kmem:mm_page_free

                 0      kmem:mm_page_alloc_extfrag
            766584      kmem:mm_page_alloc_zone_locked

                16      kmem:mm_page_free_batched

                35      kmem:mm_page_pcpu_drain

           1340139      net:napi_gro_receive_entry


Other core, mostly running user application (40 such):
                 2      kmem:mm_page_alloc

             38922      kmem:mm_page_free

                 0      kmem:mm_page_alloc_extfrag
                 1      kmem:mm_page_alloc_zone_locked

                 8      kmem:mm_page_free_batched

            107289      kmem:mm_page_pcpu_drain

                34      net:napi_gro_receive_entry


As you can see, sync overhead is enormous.

PCP-wise, a key improvement in such scenarios would be reached if we could
(1) keep and handle the allocated page on same cpu, or (2) somehow get the
page back to the allocating core's PCP in a fast-path, without going through
the regular buddy allocator paths.
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