mlir-hs
accelerate-llvm
| mlir-hs | accelerate-llvm | |
|---|---|---|
| 1 | 2 | |
| 89 | 151 | |
| - | 0.0% | |
| 4.7 | 6.0 | |
| 16 days ago | 5 months ago | |
| Haskell | Haskell | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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mlir-hs
accelerate-llvm
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How do I get my program to use 100% of the GPU?
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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Next Decade in Languages: User Code on the GPU
I’m personally a big fan of http://www.acceleratehs.org / https://github.com/AccelerateHS/accelerate-llvm
What are some alternatives?
llvm-general - Rich LLVM bindings for Haskell (with transfer of LLVM IR to and from C++, detailed compilation pass control, etc.)
accelerate-fft - FFT library for Haskell based on the embedded array language Accelerate
llvm - Haskell bindings to the LLVM compiler infrastructure project.
hyper-haskell-server - The strongly hyped Haskell interpreter.
accelerate - Embedded language for high-performance array computations
dhall - Maintainable configuration files
llvm-pretty - An llvm pretty printer inspired by the haskell llvm binding
uu-cco - Tools for the CCO (Compiler Construction) course at the UU (Utrecht University)
grin - GRIN is a compiler back-end for lazy and strict functional languages with whole program optimization support.
brainfuck - This is an interpreter of the brainf*ck language, written in the pure, lazy, functional language Haskell.
accelerate-cuda - DEPRECATED: Accelerate backend for NVIDIA GPUs
accelerate-bignum - Fixed-length large integer arithmetic for Accelerate