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Cluster systems and simulation: from benchmarking to off-line performance prediction

✍ Scribed by Beniamino Di Martino; Emilio Mancini; Massimiliano Rak; Roberto Torella; Umberto Villano


Book ID
102115500
Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
407 KB
Volume
19
Category
Article
ISSN
1532-0626

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✦ Synopsis


Abstract

This paper describes a simulation‐based technique for the performance prediction of message‐passing applications on cluster systems by means of benchmark data. Given data measuring the performance of a target cluster in the form of standard benchmark results, along with the details of the chosen computing configuration, it is possible to build and to validate automatically a detailed simulation model. This makes it possible to predict off‐line, i.e. without resorting to the real hardware, the performance of fully developed or even of skeletal code. An XML‐based language (MetaPL) is adopted to describe the application behavior in the development stage. After a description of the approach and the illustration of the construction and validation of the simulation model, the paper presents a case study. Copyright © 2006 John Wiley & Sons, Ltd.


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