My paper about the @metacpan module Task::MemManager is done!
Join me Dec 18th for the talk at Winter 2024 Perl Community #Conference
blogs.perl.org/users/oodler_57…
, showing how one can use the module to share memory between components of multi-language (#C #assembly , #Perl , #PDL) applications .

The package will be discussed in a more applied context in my 2nd talk ("Quest for Performance") in which I will illustrate its use in #OpenMP #C / #Perl @openmp_arb workflows. #Fortran is next!

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, 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 ?

chrisarg.github.io/Killing-It-…

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:

1. Brett Estrade's presentation at TPRC

youtube.com/watch?v=_pzG5DerDT…

1. my companion entry at blogs.perl for blogs.perl.org/users/chrisarg/…

perl #openmp #parallelprogramming

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Enhancing non-Perl #bioinformatics applications with #Perl by #bioinformatics #openmp slideshare.net/slideshow/enhan… Slides for my #tprc2024 talk discussing component based development using @PerlAlien , @PerlFFI , and
@openmp_arb

Preprint arxiv.org/abs/2406.10271
(v2 based on feedback by Mario Roy and @mdperry will be uploaded during the weekend!)
@Perl

Enhancing non-Perl bioinformatic applications with Perl

Enhancing non-Perl bioinformatic applications with Perl - Download as a PDF or view online for free

^SlideShare

Hey you #Perl programmers, enjoy this video on the options available for including #OpenMP into your Perl programs for computationally intensive applications.

youtube.com/watch?v=lMRjdpygVF…