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

  • Authors:

  • Beniamino Di Martino;Emilio Mancini;Massimiliano Rak;Roberto Torella;Umberto Villano

  • Affiliations:

  • Dipartimento di Ingegneria dell'Informazione, Seconda Università di Napoli, via Roma 29, 81031 Aversa (CE), Italy;RCOST and Dipartimento di Ingegneria, Università degli Studi del Sannio Palazzo ex INPS, Piazza Roma 21, 82100 Benevento, Italy;Dipartimento di Ingegneria dell'Informazione, Seconda Università di Napoli, via Roma 29, 81031 Aversa (CE), Italy;Dipartimento di Ingegneria dell'Informazione, Seconda Università di Napoli, via Roma 29, 81031 Aversa (CE), Italy;RCOST and Dipartimento di Ingegneria, Università degli Studi del Sannio Palazzo ex INPS, Piazza Roma 21, 82100 Benevento, Italy

  • Venue:
  • Concurrency and Computation: Practice & Experience - European–American Working Group on Automatic Performance Analysis (APART)
  • Year:
  • 2007

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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.