accelerate-io
Read and write Accelerate arrays in various formats (by AccelerateHS)
accelerate-llvm
LLVM backend for Accelerate (by AccelerateHS)
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| accelerate-io | accelerate-llvm | |
|---|---|---|
| - | 2 | |
| 16 | 151 | |
| - | 0.7% | |
| 3.2 | 6.0 | |
| 5 months ago | 5 months ago | |
| Haskell | Haskell | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
accelerate-io
Posts with mentions or reviews of accelerate-io.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning accelerate-io yet.
Tracking mentions began in Dec 2020.
accelerate-llvm
Posts with mentions or reviews of accelerate-llvm.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-25.
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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?
When comparing accelerate-io and accelerate-llvm you can also consider the following projects:
accelerate-cuda - DEPRECATED: Accelerate backend for NVIDIA GPUs
accelerate-fft - FFT library for Haskell based on the embedded array language Accelerate
hyper-haskell-server - The strongly hyped Haskell interpreter.
dhall - Maintainable configuration files
accelerate-examples - Examples for the Accelerate language
uu-cco - Tools for the CCO (Compiler Construction) course at the UU (Utrecht University)
brainfuck - This is an interpreter of the brainf*ck language, written in the pure, lazy, functional language Haskell.
accelerate-io vs accelerate-cuda
accelerate-llvm vs accelerate-fft
accelerate-io vs hyper-haskell-server
accelerate-llvm vs hyper-haskell-server
accelerate-io vs accelerate-fft
accelerate-llvm vs dhall
accelerate-io vs accelerate-examples
accelerate-llvm vs uu-cco
accelerate-io vs uu-cco
accelerate-llvm vs brainfuck
accelerate-io vs dhall
accelerate-llvm vs accelerate-cuda