Evaluating the Viability of LogGP for Modeling MPI Performance with Non-contiguous Datatypes on Modern Architectures-Reference-Cited by-同舟云学术

Evaluating the Viability of LogGP for Modeling MPI Performance with Non-contiguous Datatypes on Modern Architectures

Published:2023-09-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th European MPI Users' Group Meeting
language:
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Author:

Bacon Nicholas H¹^ORCID,Bridges Patrick¹^ORCID,Levy Scott²^ORCID,Ferreira Kurt²^ORCID,Bienz Amanda¹^ORCID

Affiliation:

1. Department of Computer Science, University of New Mexico, USA

2. Sandia National Laboratories, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3615318.3615326

Reference22 articles.

1. LogGP

2. Nicholas Bacon. 2023. GPU Datatype Enhanced Netgauge. https://github.com/CUP-ECS/datatypes-logGP Nicholas Bacon. 2023. GPU Datatype Enhanced Netgauge. https://github.com/CUP-ECS/datatypes-logGP

3. Amanda Bienz , Luke N. Olson , William D. Gropp , and Shelby Lockhart . 2021 . Modeling Data Movement Performance on Heterogeneous Architectures. In 2021 IEEE High Performance Extreme Computing Conference (HPEC). 1–7. Amanda Bienz, Luke N. Olson, William D. Gropp, and Shelby Lockhart. 2021. Modeling Data Movement Performance on Heterogeneous Architectures. In 2021 IEEE High Performance Extreme Computing Conference (HPEC). 1–7.

4. Dan Bonachea and Paul H Hargrove . 2019. GASNet-EX: A high-performance, portable communication library for exascale . In Languages and Compilers for Parallel Computing: 31st International Workshop , Salt Lake City, UT, USA, October 9–11, 2018 , Revised Selected Papers 31. Springer , 138–158. Dan Bonachea and Paul H Hargrove. 2019. GASNet-EX: A high-performance, portable communication library for exascale. In Languages and Compilers for Parallel Computing: 31st International Workshop, Salt Lake City, UT, USA, October 9–11, 2018, Revised Selected Papers 31. Springer, 138–158.

5. Improving GPU Performance Prediction with Data Transfer Modeling