Evaluating tradeoffs between MPI message matching offload hardware capacity and performance-Reference-Cited by-同舟云学术

Evaluating tradeoffs between MPI message matching offload hardware capacity and performance

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th European MPI Users' Group Meeting on - EuroMPI '19
language:
Short-container-title:

Author:

Levy Scott¹,Ferreira Kurt B.¹

Affiliation:

1. Center for Computing Research

Publisher

ACM Press

Reference32 articles.

1. K. Bergman, S. Borkar, D. Campbell, W. Carlson, W. Dally, M. Denneau, P. Franzon, W. Harrod, K. Hill, J. Hiller et al., "Exascale computing study: Technology challenges in achieving exascale systems," Defense Advanced Research Projects Agency Information Processing Techniques Office (DARPA IPTO), Tech. Rep, vol. 15, 2008.

2. Message Passing Interface Forum, "MPI: A Message-Passing Interface Standard Version 3.0," https://www.mpi-forum.org/docs/mpi-3.0/mpi30-report.pdf, 09 2012, retrieved April 2019.

3. W. Schonbein, M. G. Dosanjh, R. E. Grant, and P. G. Bridges, "Measuring multithreaded message matching misery," in European Conference on Parallel Processing. Springer, 2018, pp. 480--491.

4. S. M. Ghazimirsaeed and A. Afsahi, "Accelerating MPI message matching by a data clustering strategy," in High Performance Computing Symposium (HPCS 2017). Kingston, 2017.

5. M. Flajslik, J. Dinan, and K. D. Underwood, Mitigating MPI Message Matching Misery. Cham: Springer International Publishing, 2016, pp. 281--299.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Compiler-enabled optimization of persistent MPI Operations;2022 IEEE/ACM International Workshop on Exascale MPI (ExaMPI);2022-11

2. Evaluating MPI resource usage summary statistics;Parallel Computing;2021-12

3. Evaluating MPI Message Size Summary Statistics;27th European MPI Users' Group Meeting;2020-09-21