hashable-accelerate
accelerate
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| hashable-accelerate | accelerate | |
|---|---|---|
| 0 | 9 | |
| 0 | 849 | |
| - | 0.6% | |
| 0.0 | 0.0 | |
| over 2 years ago | 5 months ago | |
| Haskell | Haskell | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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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.
hashable-accelerate
We haven't tracked posts mentioning hashable-accelerate yet.
Tracking mentions began in Dec 2020.
accelerate
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Should I use newer ghc?
extra-deps: - git: https://github.com/AccelerateHS/accelerate.git commit: 5971c5d8e4dbba28d2017e7ce422cf46a20197cb
Someone has opened a PR for accelerate here https://github.com/AccelerateHS/accelerate/pull/525 (sadly seems not actively maintained at the moment, but that can always change if people care enough). I agree for an executable you should freeze your dependencies and compiler version, and using 8.10 is fine. Although there are tons of improvements in 9.2+
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Haskell deep learning tutorials [Blog]
Backprop is a neat library. However, I guess its use case is if you actually don't want to go for anything standard like Torch or TF (perhaps for research?) For instance, if I were to use something like Accelerate for GPU acceleration, or some other computation-oriented library, then I would mix it with Backprop. Previously, I have benefited from Backprop in a ConvNet tutorial and I liked it.
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Who is researching array languages these days?
I know Accelerate is being developed at Utrecht University in the Netherlands. You can look at publications by Trevor McDonell to get a taste of what they are doing.
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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
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Introduction to Doctests in Haskell
Looking for a few projects that make use of it, I found accelerate, hawk, polysemy and pretty-simple, so I'll be interested to poke around in their code and see how they have things set up.
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Monthly Hask Anything (March 2022)
There's accelerate for GPU computing and hmatrix for bindings to BLAS and LAPACK.
What are some alternatives?
dhall - Maintainable configuration files
accelerate-bignum - Fixed-length large integer arithmetic for Accelerate
accelerate-cuda - DEPRECATED: Accelerate backend for NVIDIA GPUs
hyper-haskell-server - The strongly hyped Haskell interpreter.
accelerate-kullback-liebler
binaryen - DEPRECATED in favor of ghc wasm backend, see https://www.tweag.io/blog/2022-11-22-wasm-backend-merged-in-ghc
feldspar-compiler - This is the compiler for the Feldspar Language.
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)
accelerate-io - Read and write Accelerate arrays in various formats
accelerate-examples - Examples for the Accelerate language
wasm - Haskell WebAssembly Toolkit