A group-based load balance scheme for software distributed shared memory systems

Y. C. Zhuang, Ce Kuen Shieh, Tyng Yue Liang, Jun Qi Lee, Li Ming Tseng

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

4 Citations (Scopus)

Abstract

Load balance is an important issue for the performance of software distributed shared memory (DSM) systems. One solution for addressing this issue is to exploit dynamic thread migration at runtime. In order to reduce the data consistency communication increased by thread migration, an effective load balance scheme must carefully choose the threads and the destination nodes for workload migration. A group-based load balance scheme is proposed to resolve this problem. The main characteristic of this scheme is to classify the overloaded nodes and the lightly loaded nodes into a sender group and a receiver group, and then consider all the threads of the sender group and all the nodes of the receiver group for each thread migration decision. The experimental results show that the group-based load balance scheme reduces more communication than previous methods. Besides, the paper also resolves the problem of the high overhead caused by group-based schemes. Therefore, the performance of the test programs is effectively enhanced after minimizing the communication increased by thread migration.

Original languageEnglish
Title of host publicationProceedings - 1st IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2001
Pages371-378
Number of pages8
DOIs
Publication statusPublished - 2001
Event1st IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2001 - Brisbane, QLD, Australia
Duration: 2001 May 152001 May 18

Publication series

NameProceedings - 1st IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2001

Other

Other1st IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2001
Country/TerritoryAustralia
CityBrisbane, QLD
Period01-05-1501-05-18

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software
  • Electrical and Electronic Engineering

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