CUDAdrv.jl
grcuda
CUDAdrv.jl | grcuda | |
---|---|---|
1 | 2 | |
64 | 218 | |
- | 0.5% | |
0.0 | 0.0 | |
almost 4 years ago | 10 months ago | |
Julia | Java | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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CUDAdrv.jl
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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/...
grcuda
What are some alternatives?
gtc2017-numba - Numba tutorial for GTC 2017 conference
cudf - cuDF - GPU DataFrame Library
copperhead - Data Parallel Python
cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale
wgpu-py - The next generation GPU API for Python
CUDA.jl - CUDA programming in Julia.
intel-graphics-compiler
CudaPy - CudaPy is a runtime library that lets Python programmers access NVIDIA's CUDA parallel computation API.
amaranth - A modern hardware definition language and toolchain based on Python
compute-runtime - Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver