accelerate-llvm
LLVM backend for Accelerate (by AccelerateHS)
lambdacube-compiler
LambdaCube 3D is a Haskell-like purely functional language for GPU. Try it out: (by lambdacube3d)
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| accelerate-llvm | lambdacube-compiler | |
|---|---|---|
| 2 | 2 | |
| 151 | 84 | |
| 0.7% | - | |
| 6.0 | 0.0 | |
| 5 months ago | 6 months ago | |
| Haskell | Haskell | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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-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
lambdacube-compiler
Posts with mentions or reviews of lambdacube-compiler.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-25.
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A functional shading langauge
http://lambdacube3d.com/ is a Haskell-like GPU programming language that compiles to WebGL1.0/GLES2.0/GL3.3. IIRC it also has partially dependent types.
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Is Haskell capable of this?
However, it's certainly possible to build purely functional abstractions on the top of existing imperative solutions, and you already found one example, GPipe. Another one is lambdacube 3d
What are some alternatives?
When comparing accelerate-llvm and lambdacube-compiler you can also consider the following projects:
accelerate-fft - FFT library for Haskell based on the embedded array language Accelerate
uu-cco - Tools for the CCO (Compiler Construction) course at the UU (Utrecht University)
hyper-haskell-server - The strongly hyped Haskell interpreter.
dhall - Maintainable configuration files
binaryen - DEPRECATED in favor of ghc wasm backend, see https://www.tweag.io/blog/2022-11-22-wasm-backend-merged-in-ghc
brainfuck - This is an interpreter of the brainf*ck language, written in the pure, lazy, functional language Haskell.
llvm-hs-pretty - Pretty printer for LLVM AST to Textual IR
accelerate-cuda - DEPRECATED: Accelerate backend for NVIDIA GPUs
morte - A bare-bones calculus-of-constructions
accelerate-llvm vs accelerate-fft
lambdacube-compiler vs uu-cco
accelerate-llvm vs hyper-haskell-server
lambdacube-compiler vs hyper-haskell-server
accelerate-llvm vs dhall
lambdacube-compiler vs dhall
accelerate-llvm vs uu-cco
lambdacube-compiler vs binaryen
accelerate-llvm vs brainfuck
lambdacube-compiler vs llvm-hs-pretty
accelerate-llvm vs accelerate-cuda
lambdacube-compiler vs morte