PMPS(3): A performance model of parallel systems

0Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper, an open performance model framework PMPS(n) and a realization of this framework PMPS(3), including memory, I/O and network, are presented and used to predict runtime of NPB benchmarks on P4 cluster. The experimental results demonstrates that PMPS(3) can work much better than PERC for I/O intensive applications, and can do as well as PERC for memory-intensive applications. Through further analysis, it is indicated that the results of the performance model can be influenced by the data correlations, control correlations and operation overlaps and which must be considered in the models to improve the prediction precision. The experimental results also showed that PMPS(n) be of great scalability. © Springer-Verlag Berlin Heidelberg 2006.

Cite

CITATION STYLE

APA

Chen, Y. R., Qi, X. Y., Qian, Y., & Dou, W. H. (2006). PMPS(3): A performance model of parallel systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4186 LNCS, pp. 344–350). https://doi.org/10.1007/11859802_28

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free