peg
A lazy non-deterministic concatenative programming language (by HackerFoo)
accelerate-llvm
LLVM backend for Accelerate (by AccelerateHS)
| peg | accelerate-llvm | |
|---|---|---|
| - | 2 | |
| 54 | 152 | |
| - | 0.7% | |
| 0.0 | 6.0 | |
| almost 11 years ago | 6 months ago | |
| Haskell | Haskell | |
| GNU General Public License v3.0 only | 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.
peg
Posts with mentions or reviews of peg.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning peg 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 peg and accelerate-llvm you can also consider the following projects:
uu-cco - Tools for the CCO (Compiler Construction) course at the UU (Utrecht University)
accelerate-fft - FFT library for Haskell based on the embedded array language Accelerate
hyper-haskell-server - The strongly hyped Haskell interpreter.
nom - Haskell implementation of nominal datatypes and functions
dhall - Maintainable configuration files
feldspar-compiler - This is the compiler for the Feldspar Language.
brainfuck - This is an interpreter of the brainf*ck language, written in the pure, lazy, functional language Haskell.
accelerate-examples - Examples for the Accelerate language
accelerate-cuda - DEPRECATED: Accelerate backend for NVIDIA GPUs
peg vs uu-cco
accelerate-llvm vs accelerate-fft
peg vs hyper-haskell-server
accelerate-llvm vs hyper-haskell-server
peg vs nom
accelerate-llvm vs dhall
peg vs dhall
accelerate-llvm vs uu-cco
peg vs feldspar-compiler
accelerate-llvm vs brainfuck
peg vs accelerate-examples
accelerate-llvm vs accelerate-cuda