accelerate-llvm
brainfuck
Our great sponsors
| accelerate-llvm | brainfuck | |
|---|---|---|
| 2 | - | |
| 151 | 6 | |
| 0.7% | - | |
| 6.0 | 5.2 | |
| 5 months ago | 5 months ago | |
| Haskell | Haskell | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 only |
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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
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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
brainfuck
We haven't tracked posts mentioning brainfuck yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
accelerate-fft - FFT library for Haskell based on the embedded array language Accelerate
whitespace - The popular Whitespace programming language with my changes.
hyper-haskell-server - The strongly hyped Haskell interpreter.
idris - A Dependently Typed Functional Programming Language
dhall - Maintainable configuration files
write-you-a-haskell - Building a modern functional compiler from first principles. (http://dev.stephendiehl.com/fun/)
uu-cco - Tools for the CCO (Compiler Construction) course at the UU (Utrecht University)
sjsp
accelerate-cuda - DEPRECATED: Accelerate backend for NVIDIA GPUs
pi-forall - A demo implementation of a simple dependently-typed language
accelerate-bignum - Fixed-length large integer arithmetic for Accelerate
kaleidoscope - Haskell LLVM JIT Compiler Tutorial