Adding memory resource consideration into workload distribution for software DSM systems

Yen Tso Liu, Tyng Yeu Liang, Ce Kuen Shieh

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

Abstract

Traditionally, workload distribution methods for software distributed shared memory systems (DSM) have only considered CPU resource. However, memory resource is also an important consideration for workload distribution. If a processor cannot afford sufficient physical memory space to cache the data required by its assigned threads, it must carry out page replacements during their execution. This delays thread execution, which in turn increases the overall execution time of the user program. This paper proposes a new workload distribution method for DSM systems, which considers both CPU resources and memory resources. The experimental results shows that the proposed method is more effective in minimizing the execution time of applications than methods considering only CPU or memory resources.

Original languageEnglish
Title of host publicationProceedings of the Fifteenth IASTED International Conference on Parallel and Distributed Computing and Systems
EditorsT. Gonzalez
Pages713-718
Number of pages6
Edition2
Publication statusPublished - 2003 Dec 1
EventProceedings of the Fifteenth IASTED International Conference on Parallel and Distributed Computing and Systems - Marina del Rey, CA, United States
Duration: 2003 Nov 32003 Nov 5

Publication series

NameProceedings of the IASTED International Conference on Parallel and Distributed Computing and Systems
Number2
Volume15

Other

OtherProceedings of the Fifteenth IASTED International Conference on Parallel and Distributed Computing and Systems
CountryUnited States
CityMarina del Rey, CA
Period03-11-0303-11-05

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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  • Cite this

    Liu, Y. T., Liang, T. Y., & Shieh, C. K. (2003). Adding memory resource consideration into workload distribution for software DSM systems. In T. Gonzalez (Ed.), Proceedings of the Fifteenth IASTED International Conference on Parallel and Distributed Computing and Systems (2 ed., pp. 713-718). (Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Systems; Vol. 15, No. 2).