GitHub / LLNL / CARE

CHAI and RAJA provide an excellent base on which to build portable codes. CARE expands that functionality, adding new features such as loop fusion capability and a portable interface for many numerical algorithms. It provides all the basics for anyone wanting to write portable code.

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Commit Stats

Commits: 681
Authors: 7
Mean commits per author: 97.29
Development Distribution Score: 0.517
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/LLNL/CARE

Topics: gpu, gpu-acceleration, gpu-computing, gpu-programming, hpc, hpc-applications, portability, portable, portable-apps, portable-class-library, portable-executable, portable-library, portable-object, portableapps, radiuss

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