Hi, I posted my first go at benchmarking PyFR against CUDA backend.
https://github.com/robertsawko/PyFR-bench I'd like to work more on it and extend it for the remaining cases in your JCP paper. The actual study is in isentropic_vortex.sh and I apologise for a lot of cluster specific stuff. There's some LSF data manager stuff there which may be confusing if you haven't seen it before. I am testing the code on Power8+4GPU arranged 2GPU per socket. At the moment the results are pretty random and I don't see weak or strong scaling at all. This may be to do with our cluster or with my installation, but I thought I'll share the files and ask if you have any feedback. The only thing I was able to verify was that the installation spawns processes across GPUs across different nodes. Let me know if you have any ideas. Also, please let me know if this is the right way of having this discussion. Best wishes, Robert -- Dr Robert Sawko Research Staff Member, IBM Daresbury Laboratory Keckwick Lane, Warrington WA4 4AD United Kingdom -- Email (IBM): [email protected] Email (STFC): [email protected] Phone (office): +44 (0) 1925 60 3301 Phone (mobile): +44 778 830 8522 Profile page: http://researcher.watson.ibm.com/researcher/view.php?person=uk-RSawko -- Unless stated otherwise above: IBM United Kingdom Limited - Registered in England and Wales with number 741598. Registered office: PO Box 41, North Harbour, Portsmouth, Hampshire PO6 3AU -- You received this message because you are subscribed to the Google Groups "PyFR Mailing List" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send an email to [email protected]. Visit this group at https://groups.google.com/group/pyfrmailinglist. For more options, visit https://groups.google.com/d/optout.
