Multiprogramming performance degradation - Case study on a shared memory multiprocessorThe 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 percent of the processor time. When two or more serial jobs are introduced into the system, this amount increases to 5.3 percent
Document ID
19900050473
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Dimpsey, R. T. (Illinois Univ. Urbana, IL, United States)
Iyer, R. K. (Illinois, University Urbana, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1989
Subject Category
Computer Programming And Software
Meeting Information
Meeting: 1989 International Conference on Parallel Processing