Content-Type: multipart/mixed; boundary="===============2282130797619492062==" MIME-Version: 1.0 From: Aaron Lu To: lkp@lists.01.org Subject: Re: [lkp-robot] [sched/fair] d519329f72: unixbench.score -9.9% regression Date: Thu, 25 Oct 2018 16:56:29 +0800 Message-ID: <20181025085629.GA18146@intel.com> In-Reply-To: <20181024170137.GA13236@e110439-lin> List-Id: --===============2282130797619492062== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable On Wed, Oct 24, 2018 at 06:01:37PM +0100, Patrick Bellasi wrote: > On 24-Oct 14:41, Aaron Lu wrote: > > On Mon, Apr 02, 2018 at 11:20:00AM +0800, Ye, Xiaolong wrote: > > > = > > > Greeting, > > > = > > > FYI, we noticed a -9.9% regression of unixbench.score due to commit: > > > = > > > = > > > commit: d519329f72a6f36bc4f2b85452640cfe583b4f81 ("sched/fair: Update= util_est only on util_avg updates") > > > https://git.kernel.org/cgit/linux/kernel/git/next/linux-next.git mast= er > > > = > > > in testcase: unixbench > > > on test machine: 8 threads Intel(R) Core(TM) i7 CPU 870 @ 2.93GHz wit= h 6G memory > > > with following parameters: > > > = > > > runtime: 300s > > > nr_task: 100% > > > test: execl > > > = > > > test-description: UnixBench is the original BYTE UNIX benchmark suite= aims to test performance of Unix-like system. > > > test-url: https://github.com/kdlucas/byte-unixbench > = > Hi Aaron, > = > > I tested this workload on different machines with this commit > > d519329f72a6f36bc4f2b85452 and its parent a07630b8b2c16f82, I also > > tested with v4.19-rc8 to see if the regression is gone - > > the performance drop is there with v4.19-rc8 and with different > > machines so I assume this regression is not solved yet. > > > > Here are detailed data: > > = > > cmdline used to run this workload: > > ./Run execl -c $nr_cpu -i 30 > = > I had a better look into this issue and found that something like this > could be the cure for the execl throughput regression: Good news, yes they are! > ---8<--- > diff --git a/kernel/sched/fair.c b/kernel/sched/fair.c > index 908c9cdae2f0..c34d41b542fc 100644 > --- a/kernel/sched/fair.c > +++ b/kernel/sched/fair.c > @@ -6258,8 +6258,17 @@ static unsigned long cpu_util_wake(int cpu, struct= task_struct *p) > * covered by the following code when estimated utilization is > * enabled. > */ > - if (sched_feat(UTIL_EST)) > - util =3D max(util, READ_ONCE(cfs_rq->avg.util_est.enqueued)); > + if (sched_feat(UTIL_EST)) { > + unsigned int estimated =3D > + READ_ONCE(cfs_rq->avg.util_est.enqueued); > + > + if (unlikely(current =3D=3D p)) { > + estimated -=3D min_t(unsigned int, estimated, > + (_task_util_est(p) | UTIL_AVG_UNCHANGED)); > + } > + > + util =3D max(util, estimated); > + } > = > /* > * Utilization (estimated) can exceed the CPU capacity, thus let's > ---8<--- > = > I'll test this better on a machine on my side and send out a proper > patch by tomorrow. > = > > Please let me know if you need other information, thanks. > = > Would be nice if you can test the above on your side too. > = commit cbcb74a95c5af32f9127a102feca323139ba2c49 is the commit I made from your diff and it restored performance for the two desktops. the result on the skylake server isn't quite stable so I think the performance gap is due to noise. lkp-ivb-d04: cbcb74a95c5af32f9127a102feca323139ba2c49/avg.json: "unixbench.score": 2946= .0, d519329f72a6f36bc4f2b85452640cfe583b4f81/avg.json: "unixbench.score": 2669= .5333333333333, a07630b8b2c16f82fd5b71d890079f4dd7599c1d/avg.json: "unixbench.score": 2924= .3333333333335, lkp-hsw-d01: cbcb74a95c5af32f9127a102feca323139ba2c49/avg.json: "unixbench.score": 7013= .533333333333, d519329f72a6f36bc4f2b85452640cfe583b4f81/avg.json: "unixbench.score": 6421= .233333333333, a07630b8b2c16f82fd5b71d890079f4dd7599c1d/avg.json: "unixbench.score": 7090= .400000000001, lkp-skl-2sp2: cbcb74a95c5af32f9127a102feca323139ba2c49/avg.json: "unixbench.score": 9347= .02, d519329f72a6f36bc4f2b85452640cfe583b4f81/avg.json: "unixbench.score": 9362= .76, a07630b8b2c16f82fd5b71d890079f4dd7599c1d/avg.json: "unixbench.score": 9520= .86, --===============2282130797619492062==--