MPI Implementation Profiling for Better Application Performance
<|reference_start|>MPI Implementation Profiling for Better Application Performance: While application profiling has been a mainstay in the HPC community for years, profiling of MPI and other communication middleware has not received the same degree of exploration. This paper adds to the discussion of MPI profiling, contributing two general-purpose profiling methods as well as practical applications of these methods to an existing implementation. The ability to detect performance defects in MPI codes using these methods increases the potential of further research and development in communication optimization.<|reference_end|>
@article{shipley2024mpi,
    title={MPI Implementation Profiling for Better Application Performance},
    author={Riley Shipley, Garrett Hooten, David Boehme, Derek Schafer, Anthony
  Skjellum, Olga Pearce},
    journal={arXiv preprint arXiv:2402.12203},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.12203},
    primaryClass={cs.DC cs.PF cs.SE}
}