(Enter summary)
Abstract: We review the many performance metrics that have been proposed for parallel
systems (i.e., program - architecture combinations). These include the many vari-
ants of speedup, efficiency, and isoefficiency. We give reasons why none of these
metrics should be used independent of the run time of the parallel system. The run
time remains the dominant metric and the remaining metrics are important only
to the extent they favor systems with better run time. We also lay out the mini-
mum requirements... (Update)
Context of citations to this paper: More
.... different scalability metrics have been proposed and have been used regularly in evaluating parallel algorithms and architectures [5, 6, 7, 8, 9]. Execution time is the ultimate measure of interest in practice. Scalability, however, has been traditionally studied...
Cited by: More
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BibTeX entry: (Update)
S. Sahni and V. Thanvantri, "Parallel computing: Performance metrics and models." Research Report, Computer Science Department, University of Florida, May 1995. http://citeseer.ist.psu.edu/sahni95parallel.html More
@misc{ sahni95parallel,
author = "S. Sahni and V. Thanvantri",
title = "Parallel computing: Performance metrics and models",
text = "S. Sahni and V. Thanvantri, Parallel computing: Performance metrics and
models. Research Report, Computer Science Department, University of Florida,
May 1995.",
year = "1995",
url = "citeseer.ist.psu.edu/sahni95parallel.html" }
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