GitHub / HROlive / Fundamentals-of-Accelerated-Computing-with-CUDA-C-Cpp
Accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques.
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PURL: pkg:github/HROlive/Fundamentals-of-Accelerated-Computing-with-CUDA-C-Cpp
Stars: 3
Forks: 1
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 4.66 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 9 months ago
Pushed at: about 1 year ago
Last synced at: 3 months ago
Commit Stats
Commits: 9
Authors: 2
Mean commits per author: 4.5
Development Distribution Score: 0.444
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/HROlive/Fundamentals-of-Accelerated-Computing-with-CUDA-C-Cpp
Topics: cpp, cuda, cuda-kernels, cuda-programming, nsight, nvidia, profilling