CoMPI: Enhancing MPI Based Applications Performance and Scalability Using Run-Time Compression

Author:

Filgueira Rosa,Singh David E.,Calderón Alejandro,Carretero Jesús

Publisher

Springer Berlin Heidelberg

Reference17 articles.

1. Gropp, W., Lusk, E.: Sowing MPICH: A case study in the dissemination of a portable environment for parallel scientific computing. The International Journal of Supercomputer Applications and High Performance Computing 11(2), 103–114 (1997)

2. Balkanski, D., Trams, M., Rehm, W.: Heterogeneous computing with mpich/madeleine and pacx mpi: a critical comparison (2003)

3. Keller, R.,, M.L.: Using pacx-mpi in metacomputing applications. In: 18th Symposium Simulationstechnique, Erlangen, September 12-15 (2005)

4. Paruj, R., Jian, K., Martin, B.: Fast lossless compression of scientific floating-point data. In: DCC 2006: Proceedings of the Data Compression Conference, Washington, DC, USA, pp. 133–142. IEEE Computer Society Press, Los Alamitos (2006)

5. Jian, K., Martin, B., Evan, S.: Runtime compression of mpi messanes to improve the performance and scalability of parallel applications. In: SC 2004: Proceedings of the 2004 ACM/IEEE conference on Supercomputing, Washington, DC, USA, p. 59. IEEE Computer Society Press, Los Alamitos (2004)

Cited by 14 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. Accelerating Lossy and Lossless Compression on Emerging BlueField DPU Architectures;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

2. A Compression Router for Low-Latency Network-on-Chip;IEICE Transactions on Information and Systems;2023-02-01

3. Designing Efficient Pipelined Communication Schemes using Compression in MPI Libraries;2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC);2022-12

4. Lossy all-to-all exchange for accelerating parallel 3-D FFTs on hybrid architectures with GPUs;2022 IEEE International Conference on Cluster Computing (CLUSTER);2022-09

5. BurstZ+: Eliminating The Communication Bottleneck of Scientific Computing Accelerators via Accelerated Compression;ACM Transactions on Reconfigurable Technology and Systems;2022-01-31

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3