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GitHub / HROlive / Fundamentals-of-Accelerated-Computing-with-CUDA-Python

Explore how to use Numba—the just-in-time, type-specializing Python function compiler—to create and launch CUDA kernels to accelerate Python programs on massively parallel NVIDIA GPUs.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HROlive%2FFundamentals-of-Accelerated-Computing-with-CUDA-Python

Stars: 0
Forks: 0
Open issues: 0

License: None
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Size: 4.41 MB
Dependencies parsed at: Pending

Created at: 8 months ago
Updated at: 8 months ago
Pushed at: 8 months ago
Last synced at: 8 months ago

Topics: accelerated-computing, cuda, cuda-programming, jit, numba, nvidia, python

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