gtc2017-numba
copperhead
| gtc2017-numba | copperhead | |
|---|---|---|
| 1 | 1 | |
| 495 | 207 | |
| 1.0% | - | |
| 0.0 | 0.0 | |
| 10 months ago | about 11 years ago | |
| Jupyter Notebook | Python | |
| - | Apache License 2.0 |
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gtc2017-numba
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Unifying the CUDA Python Ecosystem
here is writing a similar kernel in python with numba: https://github.com/ContinuumIO/gtc2017-numba/blob/master/4%2...
I think the contrast is less about the language, and more about the scope and objective of the project. the blog is describing low-level interfaces in python - probably more comparable is the old CUDAdrv.jl package (now merged into CUDA.jl): https://github.com/JuliaGPU/CUDAdrv.jl/blob/master/examples/...
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?
amaranth - A modern hardware definition language and toolchain based on Python
CudaPy - CudaPy is a runtime library that lets Python programmers access NVIDIA's CUDA parallel computation API.
wgpu-py - Next generation GPU API for Python
grcuda - Polyglot CUDA integration for the GraalVM
cudf - cuDF - GPU DataFrame Library
cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale
CUDAdrv.jl - A Julia wrapper for the CUDA driver API.
numba - NumPy aware dynamic Python compiler using LLVM