containers-accelerate
By tmcdonell
accelerate-llvm
LLVM backend for Accelerate (by AccelerateHS)
| containers-accelerate | accelerate-llvm | |
|---|---|---|
| - | 2 | |
| 2 | 164 | |
| - | 0.0% | |
| 0.0 | 5.3 | |
| about 2 years ago | about 2 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.
containers-accelerate
Posts with mentions or reviews of containers-accelerate.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning containers-accelerate 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 containers-accelerate and accelerate-llvm you can also consider the following projects:
hashable-accelerate - A class for types that can be converted to a hash value
hyper-haskell-server - The strongly hyped Haskell interpreter.
accelerate-kullback-liebler
uu-cco - Tools for the CCO (Compiler Construction) course at the UU (Utrecht University)
FAI - Haskell Foreign Accelerate Interface
accelerate-cuda - DEPRECATED: Accelerate backend for NVIDIA GPUs