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Locality behavior of parallel and sequential algorithms for irregular graph problems

  • Guojing Cong
  • , Tong Wen

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

2 Scopus citations

Abstract

Large-scale graph problems are becoming increasingly important in science and engineering. The irregular, sparse instances are especially challenging to solve on cache-based architectures as they are known to incur erratic memory access patterns. Yet many of the algorithms also exhibit some degree of regularity with memory accesses. It is important to characterize the locality behavior in order to bridge the gap between algorithm and architecture. In our study we quantify the locality of several fundamental graph algorithms, both sequential and parallel, and correlate our observations with the algorithmic design. Our study of locality behavior brings insight into the impact of different cache architectures on the performance of both sequential and parallel graph algorithms.

Original languageEnglish
Title of host publicationProceedings of the 19th IASTED International Conference on Parallel and Distributed Computing and Systems
Pages391-397
Number of pages7
StatePublished - 2007
Externally publishedYes
Event19th IASTED International Conference on Parallel and Distributed Computing and Systems - Cambridge, MA, United States
Duration: Nov 19 2007Nov 21 2007

Publication series

NameProceedings of the IASTED International Conference on Parallel and Distributed Computing and Systems
ISSN (Print)1027-2658

Conference

Conference19th IASTED International Conference on Parallel and Distributed Computing and Systems
Country/TerritoryUnited States
CityCambridge, MA
Period11/19/0711/21/07

Keywords

  • Graph problems
  • Parallel algorithms
  • Spatial locality
  • Temporal locality

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