----- Mail original ----- > De: "Carl Friedrich Bolz-Tereick" <cfb...@gmx.de> > À: "PIERRE AUGIER" <pierre.aug...@univ-grenoble-alpes.fr>, "pypy-dev" > <pypy-dev@python.org> > Envoyé: Mardi 26 Janvier 2021 09:10:20 > Objet: Re: [pypy-dev] Results NBabel benchmark CO2 production versus time: > good new for PyPy map-improvements
> Hi Pierre, > > wow, those numbers are quite something! I suppose the C++ code could be > optimized some more? Yes, of course! The C++ code is really not great. Even the Fortran code could easily be optimized a bit more. However, I think they are representative of many C++ and Fortran codes written by scientists. > Do you plan to submit that soon? Would it make your story easier if I > tried to push ahead with getting map-improvements merged? I do not plan to submit that very soon. However, I plan to contact the editors very soon. My point of view is the following: I don't think it would be honest to include in a paper the point using map-improvements before this branch is merged so I would rather wait for it... > Also, would you maybe be interested in (co-?)writing a blog post for the > PyPy blog?: https://morepypy.blogspot.com/ Yes, I can really help on such blog post! But I'm definitively not the right guy to explain the principle of map-improvements! Also, for me, the possible comment in Nature Astronomy has a higher priority. > Cheers, > > Carl Friedrich > > On 1/25/21 8:44 PM, PIERRE AUGIER wrote: >> Hi, >> >> I did some timing and energy consumption measurements with >> https://www.grid5000.fr/w/Energy_consumption_monitoring_tutorial >> >> I think the results tend to validate the approach used in the branch >> map-improvements >> (https://foss.heptapod.net/pypy/pypy/-/tree/branch/map-improvements). I >> attach >> one of the first figure including a run using an interpreter build with these >> changes >> (http://buildbot.pypy.org/nightly/map-improvements-3.7/pypy-c-jit-latest-linux64.tar.bz2). >> >> To be compared with >> https://raw.githubusercontent.com/paugier/nbabel/master/py/fig/fig_ecolo_impact_transonic.png >> taken from Zwart (2020). >> >> The implementation run with PyPy map-improvements is faster than the >> implementations using Numba, Fortran and C++ (with flags like -Ofast and >> -march=native activated!) ! It's a great result! Congratulation! >> >> For people interested, the code for the benchmarks and the measurement is >> here >> https://github.com/paugier/nbabel >> >> Pierre >> >> >> _______________________________________________ >> pypy-dev mailing list >> pypy-dev@python.org >> https://mail.python.org/mailman/listinfo/pypy-dev _______________________________________________ pypy-dev mailing list pypy-dev@python.org https://mail.python.org/mailman/listinfo/pypy-dev
