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conda-forge.org : pyopencl
PyOpenCL lets you access GPUs, multi-core CPUs, and other massively parallel compute devices from Python, through the OpenCL parallel compute interface.
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purl: pkg:conda/pyopencl
Keywords: amd, array, cuda, gpu, heterogeneous-parallel-programming, multidimensional-arrays, nvidia, opencl, opengl, parallel-algorithm, parallel-computing, performance, prefix-sum, pyopencl, python, reduction, scientific-computing, shared-memory, sorting
License: MIT
Latest release: over 1 year ago
First release: over 5 years ago
Dependent packages: 18
Dependent repositories: 5
Stars: 957 on GitHub
Forks: 239 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 8 days ago