Noncontiguous I/O through PVFS

Avery Ching, A. Choudhary, Wei Keng Liao, R. Ross, W. Gropp

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

44 Scopus citations

Abstract

With the tremendous advances in processor and memory technology, I/O has risen to become the bottleneck in high-performance computing for many applications. The development of parallel file systems has helped to ease the performance gap, but I/O still remains an area needing significant performance improvement. Research has found that noncontiguous I/O access patterns in scientific applications combined with current file system methods, to perform these accesses lead to unacceptable performance for large data sets. To enhance performance of noncontiguous I/O, we have created list I/O, a native version of noncontiguous I/O. We have used the Parallel Virtual File System (PVFS) to implement our ideas. Our research and experimentation shows that list I/O outperforms current noncontiguous I/O access methods in most I/O situations and can substantially enhance the performance of real-world scientific applications.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Cluster Computing, CLUSTER 2002
EditorsBill Gropp, Rajkumar Buyya, Rob Pennington, Maxine Brown, Mark Baker, Dan Reed
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages405-414
Number of pages10
ISBN (Electronic)0769517455
DOIs
StatePublished - 2002
EventIEEE International Conference on Cluster Computing, CLUSTER 2002 - Chicago, United States
Duration: Sep 23 2002Sep 26 2002

Publication series

NameProceedings - IEEE International Conference on Cluster Computing, ICCC
Volume2002-January
ISSN (Print)1552-5244

Other

OtherIEEE International Conference on Cluster Computing, CLUSTER 2002
CountryUnited States
CityChicago
Period9/23/029/26/02

Keywords

  • Application software
  • Computer science
  • Concurrent computing
  • Costs
  • Distributed computing
  • File servers
  • File systems
  • Linux
  • Mathematics
  • Network servers

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Signal Processing

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