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SubjectRe: [RFC 2/4] sched/numa: replace runnable_load_avg by load_avg
On Wed, Feb 12, 2020 at 01:37:15PM +0000, Mel Gorman wrote:
> > static void task_numa_assign(struct task_numa_env *env,
> > struct task_struct *p, long imp)
> > {
> > @@ -1556,6 +1594,11 @@ static bool load_too_imbalanced(long src_load, long dst_load,
> > long orig_src_load, orig_dst_load;
> > long src_capacity, dst_capacity;
> >
> > +
> > + /* If dst node has spare capacity, there is no real load imbalance */
> > + if (env->dst_stats.node_type == node_has_spare)
> > + return false;
> > +
>
> Not exactly what the load balancer thinks though, the load balancer
> may decide to balance the tasks between NUMA groups even when there is
> capacity. That said, what you did here is compatible with the current code.
>
> I'll want to test this further but in general
>
> Acked-by: Mel Gorman <mgorman@techsingularity.net>
>

And I was wrong. I worried that the conflict with the load balancer would
be a problem when I wrote this comment. That was based on finding that
I had to account for the load balancer when using capacity to decide
whether an idle CPU can be used. When I didn't, performance went to
hell but thought that maybe you had somehow avoided the same problem.
Unfortunately, testing indicates that the same, or similar, problem is
here.

This is specjbb running two JVMs on a 2-socket Haswell machine with 48
cores in total. This is just your first two patches, I have found that
the group classify patches do not recover it.

Hmean tput-1 39748.93 ( 0.00%) 39568.77 ( -0.45%)
Hmean tput-2 88648.59 ( 0.00%) 85302.00 ( -3.78%)
Hmean tput-3 136285.01 ( 0.00%) 131280.85 ( -3.67%)
Hmean tput-4 181312.69 ( 0.00%) 179903.17 ( -0.78%)
Hmean tput-5 228725.85 ( 0.00%) 223499.65 ( -2.28%)
Hmean tput-6 273246.83 ( 0.00%) 268984.52 ( -1.56%)
Hmean tput-7 317708.89 ( 0.00%) 314593.10 ( -0.98%)
Hmean tput-8 362378.08 ( 0.00%) 337205.87 * -6.95%*
Hmean tput-9 403792.00 ( 0.00%) 349014.39 * -13.57%*
Hmean tput-10 446000.88 ( 0.00%) 379242.88 * -14.97%*
Hmean tput-11 486188.58 ( 0.00%) 341951.27 * -29.67%*
Hmean tput-12 522288.84 ( 0.00%) 388877.07 * -25.54%*
Hmean tput-13 532394.06 ( 0.00%) 437005.34 * -17.92%*
Hmean tput-14 539440.66 ( 0.00%) 467479.65 * -13.34%*
Hmean tput-15 541843.50 ( 0.00%) 455477.03 ( -15.94%)
Hmean tput-16 546510.71 ( 0.00%) 483599.58 ( -11.51%)
Hmean tput-17 544501.21 ( 0.00%) 506189.64 ( -7.04%)
Hmean tput-18 544802.98 ( 0.00%) 535869.05 ( -1.64%)
Hmean tput-19 545265.27 ( 0.00%) 533050.57 ( -2.24%)
Hmean tput-20 543284.33 ( 0.00%) 528100.03 ( -2.79%)
Hmean tput-21 543375.11 ( 0.00%) 528692.97 ( -2.70%)
Hmean tput-22 542536.60 ( 0.00%) 527160.27 ( -2.83%)
Hmean tput-23 536402.28 ( 0.00%) 521023.49 ( -2.87%)
Hmean tput-24 532307.76 ( 0.00%) 519208.85 * -2.46%*
Stddev tput-1 1426.23 ( 0.00%) 464.57 ( 67.43%)
Stddev tput-2 4437.10 ( 0.00%) 1489.17 ( 66.44%)
Stddev tput-3 3021.47 ( 0.00%) 750.95 ( 75.15%)
Stddev tput-4 4098.39 ( 0.00%) 1678.67 ( 59.04%)
Stddev tput-5 3524.22 ( 0.00%) 1025.30 ( 70.91%)
Stddev tput-6 3237.13 ( 0.00%) 2198.39 ( 32.09%)
Stddev tput-7 2534.27 ( 0.00%) 3261.18 ( -28.68%)
Stddev tput-8 3847.37 ( 0.00%) 4355.78 ( -13.21%)
Stddev tput-9 5278.55 ( 0.00%) 4145.06 ( 21.47%)
Stddev tput-10 5311.08 ( 0.00%) 10274.26 ( -93.45%)
Stddev tput-11 7537.76 ( 0.00%) 16882.17 (-123.97%)
Stddev tput-12 5023.29 ( 0.00%) 12735.70 (-153.53%)
Stddev tput-13 3852.32 ( 0.00%) 15385.23 (-299.38%)
Stddev tput-14 11859.59 ( 0.00%) 24273.56 (-104.67%)
Stddev tput-15 16298.10 ( 0.00%) 45409.69 (-178.62%)
Stddev tput-16 9041.77 ( 0.00%) 58839.77 (-550.75%)
Stddev tput-17 9322.50 ( 0.00%) 77205.45 (-728.16%)
Stddev tput-18 16040.01 ( 0.00%) 15021.07 ( 6.35%)
Stddev tput-19 8814.09 ( 0.00%) 27509.99 (-212.11%)
Stddev tput-20 7812.82 ( 0.00%) 31578.68 (-304.19%)
Stddev tput-21 6584.58 ( 0.00%) 3639.48 ( 44.73%)
Stddev tput-22 8294.36 ( 0.00%) 3033.49 ( 63.43%)
Stddev tput-23 6887.93 ( 0.00%) 5450.38 ( 20.87%)
Stddev tput-24 6081.83 ( 0.00%) 390.32 ( 93.58%)

Note that how it reaches the point where the node is almost utilised
( near tput-12) that performance drops. Graphing mpstat on a per-node
basis shows there is imbalance in the CPU utilisation between nodes.

NUMA locality is not bad, scanning and migrations are a bit higher but
overall this is a problem.

On a 4-socket machine, I see slightly different results -- there is still
a big drop although not a statistically significant one. However, the
per-node CPU utilisation is skewed as nodes approach being fully utilised.
I see similarly bad results on a 2-socket Broadwell machine.

I don't have other results yet for other workloads but I'm not optimistic
that I'll see anything different. I still think that this probably didn't
show up with hackbench because it's too short-lived for NUMA balancing
to be a factor.

--
Mel Gorman
SUSE Labs

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