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Accelerate Alternatives
Similar projects and alternatives to accelerate
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accelerate-bignum
Fixed-length large integer arithmetic for Accelerate
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SonarLint
Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.
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binaryen
DEPRECATED in favor of ghc wasm backend, see https://www.tweag.io/blog/2022-11-22-wasm-backend-merged-in-ghc
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accelerate-fft
FFT library for Haskell based on the embedded array language Accelerate
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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uu-cco
Tools for the CCO (Compiler Construction) course at the UU (Utrecht University)
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futhark
:boom::computer::boom: A data-parallel functional programming language
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servant
Main repository for the servant libraries — DSL for describing, serving, querying, mocking, documenting web applications and more!
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stackage
Stable Haskell package sets: vetted consistent packages from Hackage
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SaaSHub
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accelerate reviews and mentions
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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.
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Stats
AccelerateHS/accelerate is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.