accelerate-cuda VS accelerate

Compare accelerate-cuda vs accelerate and see what are their differences.

accelerate-cuda

DEPRECATED: Accelerate backend for NVIDIA GPUs (by AccelerateHS)

accelerate

Embedded language for high-performance array computations (by AccelerateHS)
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accelerate-cuda accelerate
0 9
57 883
- 0.2%
0.0 6.5
almost 7 years ago 9 days 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.

accelerate-cuda

Posts with mentions or reviews of accelerate-cuda. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning accelerate-cuda yet.
Tracking mentions began in Dec 2020.

accelerate

Posts with mentions or reviews of accelerate. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-23.
  • Should I use newer ghc?
    2 projects | /r/haskell | 23 Feb 2023
    extra-deps: - git: https://github.com/AccelerateHS/accelerate.git commit: 5971c5d8e4dbba28d2017e7ce422cf46a20197cb
    2 projects | /r/haskell | 23 Feb 2023
    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+
  • Haskell deep learning tutorials [Blog]
    4 projects | /r/haskell | 23 Jan 2023
    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.
  • Who is researching array languages these days?
    5 projects | /r/Compilers | 15 Oct 2022
    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.
  • Next Decade in Languages: User Code on the GPU
    3 projects | /r/ProgrammingLanguages | 25 Jun 2022
    I’m personally a big fan of http://www.acceleratehs.org / https://github.com/AccelerateHS/accelerate-llvm
  • Introduction to Doctests in Haskell
    6 projects | /r/haskell | 19 Apr 2022
    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.
  • Monthly Hask Anything (March 2022)
    5 projects | /r/haskell | 2 Mar 2022
    There's accelerate for GPU computing and hmatrix for bindings to BLAS and LAPACK.

What are some alternatives?

When comparing accelerate-cuda and accelerate you can also consider the following projects:

dhall - Maintainable configuration files

accelerate-bignum - Fixed-length large integer arithmetic for Accelerate

accelerate-fft - FFT library for Haskell based on the embedded array language Accelerate

accelerate-io - Read and write Accelerate arrays in various formats

hyper-haskell-server - The strongly hyped Haskell interpreter.

accelerate-examples - Examples for the Accelerate language

feldspar-compiler - This is the compiler for the Feldspar Language.

accelerate-llvm - LLVM backend for Accelerate