grcuda
numba
| grcuda | numba | |
|---|---|---|
| 2 | 1 | |
| 217 | 5 | |
| 0.0% | - | |
| 0.0 | 0.0 | |
| 10 months ago | 6 days ago | |
| Java | Python | |
| GNU General Public License v3.0 or later | BSD 2-clause "Simplified" License |
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grcuda
numba
-
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.
What are some alternatives?
cudf - cuDF - GPU DataFrame Library
cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale
CUDA.jl - CUDA programming in Julia.
wgpu-py - Next generation GPU API for Python
CudaPy - CudaPy is a runtime library that lets Python programmers access NVIDIA's CUDA parallel computation API.
intel-graphics-compiler
copperhead - Data Parallel Python
gtc2017-numba - Numba tutorial for GTC 2017 conference
amaranth - A modern hardware definition language and toolchain based on Python
compute-runtime - Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver