- GPU Array Languages, Compiler & Libraries https://codereport.github.io/GPUArrayLanguages/ 14 comments programming
Linked pages
- Why Futhark? https://futhark-lang.org/index.html 150 comments
- The Array Cast https://arraycast.com 144 comments
- GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more https://github.com/google/jax 99 comments
- GitHub - google-research/dex-lang: Research language for array processing in the Haskell/ML family https://github.com/google-research/dex-lang 74 comments
- GitHub - melsman/apltail: APL Compiler targeting a typed array intermediate language https://github.com/melsman/apltail 52 comments
- MLIR https://mlir.llvm.org/ 30 comments
- About SaC [SaC-Home] http://www.sac-home.org 27 comments
- GitHub - elixir-nx/nx: Multi-dimensional arrays (tensors) and numerical definitions for Elixir https://github.com/elixir-nx/nx 10 comments
- GitHub - Co-dfns/Co-dfns: High-performance, Reliable, and Parallel APL https://github.com/Co-dfns/Co-dfns 10 comments
- A comparison of Futhark and Dex https://futhark-lang.org/blog/2020-12-28-futhark-and-dex.html 9 comments
- Futhark on The Array Cast https://futhark-lang.org/blog/2022-10-03-futhark-on-arraycast.html 7 comments
- GitHub - tensorflow/tensorflow: An Open Source Machine Learning Framework for Everyone https://github.com/tensorflow/tensorflow 5 comments
- NESL: A Parallel Programming Language https://www.cs.cmu.edu/~scandal/nesl.html 5 comments
- http://hiperfit.dk/pdf/array14_final.pdf 4 comments
- Troels Henriksen and Futhark — The Array Cast https://www.arraycast.com/episodes/episode37-futhark 3 comments
- GitHub - pytorch/pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration https://github.com/pytorch/pytorch 1 comment
- Aaron Hsu — The Array Cast https://www.arraycast.com/episodes/episode19-aaron-hsu 0 comments
- BQN: Array language compilation in context https://mlochbaum.github.io/BQN/implementation/compile/intro.html 0 comments
- XLA: Optimizing Compiler for Machine Learning | TensorFlow https://www.tensorflow.org/xla 0 comments
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