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The final installment in the series:
"The-Quest-For-Performance" from my blog, discussing #python #numpy #numba, #rstats @openmp_arb #openMP enhancements of #Perl code and #simd

Bottom line: I will not be migrating to Python anytime soon.

Food for thought: The Perl interpreter (and many of the modules) are deep down massive C programs. Perhaps one can squeeze real performance kicks by looking into alternative compilers, compiler flags & pragmas ?

https://chrisarg.github.io/Killing-It-with-PERL/2024/07/09/The-Quest-For-Performance-Part-IV-May-the-SIMD-Force-Be-With-You.html

The Quest for Performance Part IV : May the SIMD Force be with you

At this point one may wonder how numba, the Python compiler around numpy Python code, delivers a performance premium over numpy.
Killing-It-with-PERL
#perl #rstats #python #openmp #numpy #numba #simd @OpenMP ARB
in reply to Olaf Alders

Christos Argyropoulos
Christos Argyropoulos
• •
@oalders No, I have not. This is on my to-do list for the #bioinformatics and signal processing projects. Those involve a substantial amount of object creation and destruction targeting the #edge (the objects being used for safe memory management for low-level code and MOP for said code). I have a couple of #openmp #perl #c examples lined up for the blog , perhaps I should run them with that one as well).
#perl #bioinformatics #c #edge #openmp @Olaf Alders
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