https://chapel-lang.org/blog/posts/30years/
Article
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Chapel blog reviews 30 years of HPC hardware vs. language evolution
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Hardware (GPUs, interconnects) advanced dramatically; language adoption lagged
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Argues new parallel languages like Chapel haven’t gained traction despite progress
Discussion
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Top commenter: new HPC languages don’t solve urgent problems — much HPC code is optimally single-threaded
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Hiring pool depth cited: easy to find C++/OpenMP devs, nearly impossible to find Chapel devs
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Bioinformatics reality check: most cluster work is Python/R/Perl, not MPI or distributed compute
Discuss on HN