[NLPL Task Force (A)] New accounts on Taito
Stephan Oepen
oe at ifi.uio.no
Tue Jan 22 10:17:02 UTC 2019
dear joakim,
thanks for the heads-up about incoming account requests!
but what made you think that TensorFlow and PyTorch gpu support on
Abel is lacking? the NLPL installations of these frameworks
(‘nlpl-tensorflow’ and ‘nlpl-pytorch’) should work transparently on
both cpu and gpu nodes. if there are issues with these modules,
please encourage your students to contact us at
‘infrastructure at nlpl.eu’.
that being said, Taito has more and newer gpus (though also tends to
have lots more gpu users :-), so having accounts on both sides is not
a bad thing. i believe the difference in gpu architecture (K20 on
Abel vs. K80 and P100 on Taito) is not critical to what we typically
do, but i recall tentative benchmarks of OpenNMT (PyTorch-based)
achieving training throughputs around 50 percent higher on Taito than
on Abel.
if your students or others at uppsala come up with more detailed
(contrastive) experience reports, i think we would be interested in
that among the infrastructure task force too.
best wishes, oe
On Tue, Jan 22, 2019 at 9:14 AM Joakim Nivre <joakim.nivre at lingfil.uu.se> wrote:
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> Hi,
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> We have two new research assistants, Johannes Gontrum and Elena Fano. They already have accounts on Abel (because they are also master’s students at Uppsala University), but they need access to Taito as well to be able to run Tensor Flow and/or PyTorch on GPUs (which I understand is still not possible on Abel).
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> They will submit the form as instructed on http://wiki.nlpl.eu/index.php/Infrastructure/resources with the hope that Martin can approve their applications.
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> Best,
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> Joakim
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> När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/
>
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