Abstract
In order to produce MPI applications that perform well on today’s parallel architectures, programmers need effective tools for collecting and analyzing performance data. A variety of such tools, both commercial and research, are becoming available. This paper reviews and evaluations the available cross-platform MPI performance analysis tools.
Cite
CITATION STYLE
Moore, S., Cronk, D., London, K., & Dongarra, J. (2001). Review of performance analysis tools for MPI parallel programs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2131, pp. 241–248). Springer Verlag. https://doi.org/10.1007/3-540-45417-9_34
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