GitHub / HROlive / Fundamentals-of-Accelerated-Computing-with-CUDA-Python
Fundamental tools and techniques for running GPU-accelerated Python applications using CUDA® GPUs and the Numba compiler.
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Language: Jupyter Notebook
Size: 4.87 MB
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Created at: about 1 year ago
Updated at: 10 months ago
Pushed at: 10 months ago
Last synced at: 25 days ago
Topics: accelerated-computing, cuda, cuda-programming, jit, numba, nvidia, python