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
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