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Machine Learning for CUDA+MPI Design Rules. (arXiv:2203.02530v2 [cs.PF] UPDATED)
March 21, 2022, 1:12 a.m. | Carl Pearson, Aurya Javeed, Karen Devine
cs.LG updates on arXiv.org arxiv.org
We present a new strategy for automatically exploring the design space of key
CUDA+MPI programs and providing design rules that discriminate slow from fast
implementations. In such programs, the order of operations (e.g., GPU kernels,
MPI communication) and assignment of operations to resources (e.g., GPU
streams) makes the space of possible designs enormous. Systems experts have the
task of redesigning and reoptimizing these programs to effectively utilize each
new platform. This work provides a prototype tool to reduce that burden. …
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