A layout-aware optimization strategy for collective I/O

Yong Chen, Huaiming Song, Rajeev Thakur, Xian He Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this study, we propose an optimization strategy to promote a better integration of the parallel I/O middleware and parallel file systems. We illustrate that a layout-aware optimization strategy can improve the performance of current collective I/O in parallel I/O system. We present the motivation, prototype design and initial verification of the proposed layout-aware optimization strategy. The analytical and initial experimental testing results demonstrate that the proposed strategy has a potential in improving the parallel I/O system performance.

Original languageEnglish
Title of host publicationHPDC 2010 - Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Pages360-363
Number of pages4
DOIs
StatePublished - 2010
Event19th ACM International Symposium on High Performance Distributed Computing, HPDC 2010 - Chicago, IL, United States
Duration: Jun 21 2010Jun 25 2010

Publication series

NameHPDC 2010 - Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing

Conference

Conference19th ACM International Symposium on High Performance Distributed Computing, HPDC 2010
CountryUnited States
CityChicago, IL
Period06/21/1006/25/10

Keywords

  • Collective I/O
  • Data layout
  • MPI I/O
  • Parallel I/O
  • Parallel file system
  • Petascale file system

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