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Author Nanda, A. ♦ Ni, L.M.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1992
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Kernel ♦ Software tools ♦ Data structures ♦ Degradation ♦ Protection ♦ Computer science ♦ Large-scale systems ♦ Current measurement ♦ Measurement standards ♦ Particle measurements
Abstract The authors propose a method to characterize the performance of multiprocessor systems at the level of a single grain, called a unit grain, of execution. The characterization is via experimental measurement of individual components of performance. The authors introduce a family of artificial workload kernels, called SAD-kernels, as an effective tool for measuring this performance. The usefulness of these kernels lies in their ability to selectively assess a given shared-memory multiprocessor along several performance dimensions that can be controlled by the person performing the evaluation. The proposed methodology was demonstrated by measuring and comparing the performance of two commercial shared-memory machines currently in use.<<ETX>>
Description Author affiliation: Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA (Nanda, A.; Ni, L.M.)
ISBN 0818630000
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1992-09-21
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 431.01 kB
Page Count 6
Starting Page 233
Ending Page 238


Source: IEEE Xplore Digital Library