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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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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