numba
copperhead
numba | copperhead | |
---|---|---|
1 | 1 | |
5 | 207 | |
- | - | |
0.0 | 0.0 | |
7 days ago | almost 11 years ago | |
Python | Python | |
BSD 2-clause "Simplified" License | Apache License 2.0 |
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numba
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Unifying the CUDA Python Ecosystem
that project might be abandoned but this strategy is used in nvidia and nvidia adjacent projects (through llvm):
https://github.com/rapidsai/cudf/blob/branch-0.20/python/cud...
https://github.com/gmarkall/numba/blob/master/numba/cuda/com...
>but we also need high level expressibility that doesn't require writing kernels in C
the above are possible because C is actually just a frontend to PTX
https://docs.nvidia.com/cuda/parallel-thread-execution/index...
fundamentally you are not going to ever be able to have a way to write cuda kernels without thinking about cuda architecture anymore so than you'll ever be able to write async code without thinking about concurrency.
copperhead
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Unifying the CUDA Python Ecosystem
Oh that sounds interesting. Do you know what happened to it?
I think I found it here: https://github.com/bryancatanzaro/copperhead
But I'm not sure what the state is. Looks dead (last commit 8 years ago). Probably just a proof of concept. But why hasn't this been continued?
Blog post and example:
What are some alternatives?
cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale
amaranth - A modern hardware definition language and toolchain based on Python
CUDA.jl - CUDA programming in Julia.
wgpu-py - Next generation GPU API for Python
grcuda - Polyglot CUDA integration for the GraalVM
gtc2017-numba - Numba tutorial for GTC 2017 conference
CudaPy - CudaPy is a runtime library that lets Python programmers access NVIDIA's CUDA parallel computation API.
cudf - cuDF - GPU DataFrame Library