<div dir="ltr">PS:<br><div><br></div><div>Note that there are two settings: The *request* you set for CPU and memory is guaranteed when you execute (although we count each hardware thread as a CPU), while the limit is something you ask for, but aren't guaranteed.</div><div><br></div><div>Cheers,</div><div><br></div><div>Erik</div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Mon, Sep 28, 2020 at 9:14 PM Erik Lindahl <<a href="mailto:erik.lindahl@gmail.com">erik.lindahl@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-style:solid;border-left-color:rgb(204,204,204);padding-left:1ex"><div dir="ltr">Hi,<div><br></div><div>Given that several other test containers finish in ~2 minutes, I think it's relatively unlikely that random fluctuating resource contention would systematically always affect the gmxapi test every time it is run, but no other jobs :-)</div><div><br></div><div>The whole point of k8s/docker is that the runtime environment is standardized; what performance do you see if you run the same container e.g. on your laptop, desktop, or any other cloud resource when assigning two hardware threads to it?</div><div><br></div><div>Cheers,</div><div><br></div><div>Erik</div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Mon, Sep 28, 2020 at 8:38 PM Eric Irrgang <<a href="mailto:ericirrgang@gmail.com" target="_blank">ericirrgang@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-style:solid;border-left-color:rgb(204,204,204);padding-left:1ex"><br>
> On Sep 28, 2020, at 6:00 PM, Erik Lindahl <<a href="mailto:erik.lindahl@gmail.com" target="_blank">erik.lindahl@gmail.com</a>> wrote:<br>
> <br>
> - gmx-api. They both take 12-15 minutes on two cores, and there are four of them. <br>
<br>
I think there is something wrong with the way resources are detected in the CI Kubernetes environment that is causing oversubscription. I think at least 90% of that time is due to resource contention. The jobs only take a few seconds when run locally. I've mentioned this a couple of times to Paul and Mark but we haven't been able to prioritize it. It sounds like Mark and I may take a closer look in October, but I can't troubleshoot effectively because the run-time environment is opaque to me.<br>
<br>
Otherwise, I agree.<br>
<br>
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</blockquote></div><br clear="all"><div><br></div>-- <br><div dir="ltr"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div>Erik Lindahl <<a href="mailto:erik.lindahl@dbb.su.se" target="_blank">erik.lindahl@dbb.su.se</a>></div><div>Professor of Biophysics, Dept. Biochemistry & Biophysics, Stockholm University</div><div>Science for Life Laboratory, Box 1031, 17121 Solna, Sweden</div></div></div></div></div></div></div></div></div>
</blockquote></div><br clear="all"><div><br></div>-- <br><div dir="ltr" class="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div>Erik Lindahl <<a href="mailto:erik.lindahl@dbb.su.se" target="_blank">erik.lindahl@dbb.su.se</a>></div><div>Professor of Biophysics, Dept. Biochemistry & Biophysics, Stockholm University</div><div>Science for Life Laboratory, Box 1031, 17121 Solna, Sweden</div></div></div></div></div></div></div></div></div>