FYI. Over on the Julia forum I found a post which cited these benchmarks.
Recently ran into two performance comparisons including Julia. THE LINEAR ALGEBRA MAPPING PROBLEM. CURRENT STATE OF LINEAR ALGEBRA LANGUAGES AND LIBRARIES. shows that using BLAS for dense matrix operations, all libraries or languages like...
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benchmarks,benchmark,performance,binarytrees,coro-prime-sieve,edigits,fannkuch-redux,fasta,helloworld,http-server,lru,nbody,pidigits,spectral-norm,Crystal,Julia
benchmarks,benchmark,performance,binarytrees,coro-prime-sieve,edigits,fannkuch-redux,fasta,helloworld,http-server,lru,nbody,pidigits,spectral-norm,Crystal,Zig
benchmarks,benchmark,performance,binarytrees,coro-prime-sieve,edigits,fannkuch-redux,fasta,helloworld,http-server,lru,nbody,pidigits,spectral-norm,Crystal
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Looking through some of the benchmark code and it seems some of it can go a lot faster. A lot of it is just Ruby code ported to Crystal, but it still seems to be optimized for Ruby’s performance profile rather than Crystal’s.
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