Multiprogramming performance degradation: Case study on a shared memory multiprocessor

R. T. Dimpsey, R. K. Iyer

Research output: Contribution to journalConference article

Abstract

The performance degradation due to multiprogramming overhead is quantified for a parallel-processing machine. Measurements of real workloads were taken, and it was found that there is a moderate correlation between the completion time of a program and the amount of system overhead measured during program execution. Experiments in controlled environments were then conducted to calculate a lower bound on the performance degradation of parallel jobs caused by multiprogramming overhead. The results show that the multiprogramming overhead of parallel jobs consumes at least 4% of the processor time. When two or more serial jobs are introduced into the system, this amount increases to 5.3%

Original languageEnglish (US)
Pages (from-to)205-208
Number of pages4
JournalProceedings of the International Conference on Parallel Processing
Volume2
StatePublished - Dec 1 1989
EventProceedings of the 1989 International Conference on Parallel Processing - University Park, PA, USA
Duration: Aug 8 1989Aug 12 1989

ASJC Scopus subject areas

  • Hardware and Architecture

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