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Top 5 Haskell GPU Projects
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Project mention: What downsides exist to Futhark? Seems almost too good to be true? | /r/CUDA | 2023-06-29
Why Futhark? (futhark-lang.org)
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Someone has opened a PR for accelerate here https://github.com/AccelerateHS/accelerate/pull/525 (sadly seems not actively maintained at the moment, but that can always change if people care enough). I agree for an executable you should freeze your dependencies and compiler version, and using 8.10 is fine. Although there are tons of improvements in 9.2+
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So, I've been working on using this library: https://github.com/AccelerateHS/accelerate-llvm to do GPU programming, and it's really fun, but the problem is that for some reason my machine won't use 100% of the GPU cores (according to nvtop) and I don't know enough about how GPUs work just yet to know what I'm doing wrong.
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Haskell GPU related posts
- What downsides exist to Futhark? Seems almost too good to be true?
- GPU Programming: When, Why and How?
- Functional GPU programming: what are alternatives or generalizations of the idea of "number of cycles must be known at compile time"?
- The Futhark Programming Language: Functional Array Programming in CUDA
- Achieving High-Performance the Functional Way
- Package management woes
- Programming languages centered around scientific computing?
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Index
What are some of the best open-source GPU projects in Haskell? This list will help you:
Project | Stars | |
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1 | futhark | 2,197 |
2 | accelerate | 877 |
3 | accelerate-llvm | 148 |
4 | lambdacube-compiler | 84 |
5 | arrayfire | 59 |