Re: Google Summer of Code, Debian Science
Hi,
Am Tue, Feb 22, 2022 at 01:06:30PM +0100 schrieb Anton Gladky:
> It is a very good idea!
+1
> Though I would separate this task from QA-work on Debian Science
> packages.
I support that this is a separate idea. If you ask me it should
be ranked even higher.
> If you want, we could apply one-more project (something
> like HPC-testing of MPI-based science packages) and point special
> requirements for possible applicants. Feel free to propose a text
> for that. Thanks again!
I'd look forward to such a project but my capacity to become involved is
limited and I also need to admit that I have no real competence if it
comes to HPC and MPI questions.
Kind regards
Andreas.
> Am Di., 22. Feb. 2022 um 12:52 Uhr schrieb Drew Parsons <dparsons@debian.org>:
> >
> > On 2022-02-21 17:42, Anton Gladky wrote:
> > > Dear all,
> > >
> > > Google Summer of Code call for Debian is announced [1].
> > > I am going to apply Debian Science Team as one of the projects.
> > >
> > > Main topic is QA-Work: Autopkgtests for high-popcon packages,
> > > gitlab-CI for most of packages, bringing not-in-testing packages
> > > into the proper shape to let them migrate to testing.
> > >
> > > If somebody wants to be a co-mentor or if you have better ideas
> > > for the project, please let me know.
> > >
> > > [1]
> > > https://lists.debian.org/debian-devel-announce/2022/02/msg00002.html
> >
> >
> > It would be helpful to run parallel/HPC performance testing for our MPI
> > numerical packages.
> >
> > This would be a type of CI testing that we would set up to run regularly
> > and report.
> > Lucas Nussbaum is in charge of an academic supercomputing cluster that
> > we can access to run such tests.
> >
> > Some packages have benchmarks already at hand. The FEniCS project for
> > instance offers fenicsx-performance-tests (both prebuilt and source).
> >
> > The project would determined how to set up MPI CI testing (how to
> > activate it on Lucas' system), and what parameters (test size etc) to
> > use to get meaningful numbers.
> > A suggested tools for managing test parameters and results might be
> > https://reframe-hpc.readthedocs.io/en/stable/
> >
> > The report format could be similar to
> > https://fenics.github.io/performance-test-results/
> > or perhaps the GSoC worker could come up with a better way of presenting
> > results.
> >
> > It would be useful to be able to quantify how well our HPC packages
> > actually scale (in cloud computing environments) and monitor if there's
> > any drop in performance (e.g. with version updates)
> >
> > Also useful to report their performance with the various BLAS
> > alternatives.
> >
> > This would be valuable GSoC project I think.
> >
> > Drew
>
>
--
http://fam-tille.de
Reply to: