Functional partitioning to optimize end-to-end performance on many-core architectures

Min Li*, Sudharshan S. Vazhkudai, Ali R. Butt, Fei Meng, Xiaosong Ma, Youngjae Kim, Christian Engelmann, Galen Shipman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

53 Citations (Scopus)

Abstract

Scaling computations on emerging massive-core super-computers is a daunting task, which coupled with the significantly lagging system I/O capabilities exacerbates applications' end-to-end performance. The I/O bottleneck often negates potential performance benefits of assigning additional compute cores to an application. In this paper, we address this issue via a novel functional partitioning (FP) runtime environment that allocates cores to specific application tasks - checkpointing, de-duplication, and scientific data format transformation - so that the deluge of cores can be brought to bear on the entire gamut of application activities. The focus is on utilizing the extra cores to support HPC application I/O activities and also leverage solid-state disks in this context. For example, our evaluation shows that dedicating 1 core on an oct-core machine for checkpointing and its assist tasks using FP can improve overall execution time of a FLASH benchmark on 80 and 160 cores by 43.95% and 41.34%, respectively.

Original languageEnglish
Title of host publication2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2010
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2010 - New Orleans, LA, United States
Duration: 13 Nov 201019 Nov 2010

Publication series

Name2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2010

Conference

Conference2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2010
Country/TerritoryUnited States
CityNew Orleans, LA
Period13/11/1019/11/10

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