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
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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 -
…optimize the generated code much right now though, so something like this could be interesting. [1] https://github.com/mcabbott/Tullio.jl
comment by simeonschaub · 2022-02-11 · in A new programming language for high-performance computers -
>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 -
…ships with OpenBLAS, in some cases there are pure-Julia "blas-like" routine that can be as fast: https://github.com/mcabbott/Tullio.jl
comment by moelf · 2021-06-20 · in Julia: Faster than Fortran, cleaner than Numpy -
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…
comment by eigenspace · 2021-06-20 · in Julia: Faster than Fortran, cleaner than Numpy -
…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…
comment by ddragon · 2020-09-21 · in Swift for TensorFlow – A system for deep learning and differentiable computing -
…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) -
…of low level GPU knowledge False. Not in Julia: https://juliagpu.gitlab.io/KernelAbstractions.jl/ https://github.com/mcabbott/Tullio.jl
comment by amkkma · 2020-09-08 · in Fast.ai and why Python is not the future of ML with Jeremy Howard