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mcabbott/Tullio.jl

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9 mentions on Hacker News by 7 people: 0 stories, 9 comments · first 2020-09-08 · latest 2024-06-17

Mentions per year 9 mentions · busiest year 2020 (3)
20082026
  1. https://github.com/mcabbott/Tullio.jl is my favorite idea for extending einsum notation to more stuff. Really hope numpy/torch get something comparable!
    comment by samsartor · 2024-06-17 · in NumPy 2.0
  2. https://github.com/mcabbott/Tullio.jl : - better syntax (because Julia has proper macro/metaprogramming) - faster - automatically works with GPU arrays.
    comment by moelf · 2022-04-10 · in A basic introduction to NumPy's einsum
  3. …optimize the generated code much right now though, so something like this could be interesting. [1] https://github.com/mcabbott/Tullio.jl
  4. >Higher level abstractions like these? https://github.com/JuliaGPU/KernelAbstractions.jl https://github.com/mcabbott/Tullio.jl https://github.com/JuliaFolds/FoldsCUDA.jl https://juliagpu.gitlab.io/CUDA.jl/usage/array/
    comment by amkkma · 2021-12-07 · in Generic GPU Kernels
  5. …ships with OpenBLAS, in some cases there are pure-Julia "blas-like" routine that can be as fast: https://github.com/mcabbott/Tullio.jl
  6. Ask and ye shall receive (more than ye bargained for): https://github.com/mcabbott/Tullio.jl https://github.com/Jutho/TensorOperations.jl https://github.com/under-Peter/OMEinsum.jl Tullio.jl is the most powerful and interesting to me of…
  7. …to Swift for Tensorflow): https://discourse.julialang.org/t/realistically-how-close-is... https://github.com/mcabbott/Tullio.jl Regardless if it can consistently beat Fortran/BLAS in every area, in general JIT languages have more…
  8. …ps://discourse.julialang.org/t/ann-paddedmatrices-jl-juli... https://github.com/MasonProtter/Gaius.jl https://github.com/mcabbott/Tullio.jl These libraries have been incorporated in various spots in the machine learning, scientific machine…
    comment by ChrisRackauckas · 2020-09-21 · in The Rise and Fall of High Performance Fortran (2011)
  9. …of low level GPU knowledge False. Not in Julia: https://juliagpu.gitlab.io/KernelAbstractions.jl/ https://github.com/mcabbott/Tullio.jl