Autotuning MPI Collectives using Performance Guidelines
Author:
Affiliation:
1. TU Wien, Vienna, Austria
Funder
Austrian Science Fund
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3149457.3149461
Reference12 articles.
1. OSU Micro-Benchmarks. http://mvapich.cse.ohio-state.edu/benchmarks/. OSU Micro-Benchmarks. http://mvapich.cse.ohio-state.edu/benchmarks/.
2. A Tool for Optimizing Runtime Parameters of Open MPI
3. STAR-MPI
4. Reproducible MPI Benchmarking is Still Not as Easy as You Think
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