One of the reasons I keep dropping hints about #perlffi , #pdl and #openmp is that one can literally have five multithreading frameworks in the same #perl application of a master process: 1) PDL, and FFI intefacing with 2) #Fortran coarrays, 3) Fortran openmp, 4) #c openmp and 5) #cplusplus #openmp. All these frameworks can share memory addresses for array and vector objects, and #perl aided by #PerlAlien makes the authoring of the high-level code a pleasure ! hgpu.org/?p=29403
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The final installment in the series:
"The-Quest-For-Performance" from my blog Killing It with #perl
Discussing #python #numpy #numba, #rstats #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 and pragmas ?
chrisarg.github.io/Killing-It-…
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A couple of data/compute intensive examples using Perl Data Language (#PDL), #OpenMP, #Perl, Inline and #Python (base, #numpy, #numba). Kind of interesting to see Python eat Perl's dust and PDL being equal to numpy.
OpenMP and Perl's multithreaded #PDL array language were the clear winners here.
chrisarg.github.io/Killing-It-…
chrisarg.github.io/Killing-It-…
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Blogpost about setting the #openmpl environment from within #perl
chrisarg.github.io/Killing-It-…
Other links:
- Brett Estrade's presentation at TPRC
youtube.com/watch?v=_pzG5DerDT…
- my companion entry at blogs.perl for blogs.perl.org/users/chrisarg/…
perl #openmp #parallelprogramming
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Enhancing non-Perl bioinformatic applications with #Perl: Building novel, component based applications using Object Orientation, PDL, Alien, FFI, Inline and OpenMP - Archive ouverte HAL hal.science/hal-04606172v1
Preprint for the #TPRC2024 talk to be delivered in 10days
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