[image] This old programming language is suddenly hot again. But its future is still... One of the oldest coding languages is going through something of a renaissance. But can it really hold its own against newer options?

It’s not a part of the language, but it’s supported by all the major compilers, so what’s the difference? I don’t know how composable it is, but julia’s fast ubiquitous composable multithreading is not exactly a reality right now (that’s not to say it won’t be at some point in the future; I was just…

[image] antoine-levitt: but julia’s fast ubiquitous composable multithreading is not exactly a reality right now I have the impression that even the developers share this view, but I don’t completely get what is missing from what is implemented already. From a syntatic point of view, using @t…

but it’s (as of now) slower Can you provide an example? It’s interesting to have some numbers to understand the size of the problem.

I didn’t mean to imply that there’s something wrong with Fortran or OpenMP. I’ve used OpenMP with Fortran, a few times, on very trivially parallelizable code and it was pleasant to work for that case. I was just curious if it’s a part of language such as coarrays and whether it has ability to schedu…

[image] certik: Yes, the devil is in the details. Can you give some examples about it? I don’t think Fortran can perform some secret compiler optimizations other languages can’t have. ML and LLVM community also puts really a lot of efforts into specialized compiler optimization, such as vecto…

The last time I looked at it was [image] Multithreaded broadcast? Internals & Design FWIW, I just tested the overhead of C/OpenMP threading; for a simple sum the crossover point appears to be at N=3_000, which would seems to suggest that the overhead in julia is ~20x large…

[image] Skoffer: Can you provide an example? Here is one example (not sure how representative it is): Fortran: ▶ Code Result: leandro@pitico:~/Drive/Work/JuliaPlay% gfortran -O3 omp.f95 -o omp leandro@pitico:~/Drive/Work/JuliaPlay% time ./omp Total Sum: 0.42129448674541342 real 0m54,…

[image] certik: Regarding why I do this, we tried to explain our motivation for LFortran in particular in the following two blog posts: I read those posts and it is still not clear to me why someone who is not working with a ton of Fortran legacy code already would start with the language now…

Obviously, I cannot speak for Certik, but I thought I would mention that there’s a huge pressure on the employees of the national labs to keep Fortran codes alive. The national labs have huge investments in massive codes in Fortran, and whatever keeps them going is well rewarded.

[image] anon56330260: Can you give some examples about it? I don’t think Fortran can perform some secret compiler optimizations other languages can’t have. ML and LLVM community also puts really a lot of efforts into specialized compiler optimization, such as vectorization and polyhedral model, …

Julia gets mentioned in an article about FORTRAN

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antoine-levitt May 7, 2021, 1:10pm 43

The last time I looked at it was

but it would be awesome to have more up to date benchmarks.

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Julia gets mentioned in an article about FORTRAN

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