Simulation-based performance prediction for large parallel machines

Gengbin Zheng, Terry Wilmarth, Praveen Jagadishprasad, Laxmikant V. Kalé

Research output: Contribution to journalArticlepeer-review

Abstract

We present a performance prediction environment for large scale computers such as the Blue Gene machine. It consists of a parallel simulator, BigSim, for predicting performance of machines with a very large number of processors, and BigNetSim, which incorporates a pluggable module of a detailed contention-based network model. The simulators provide the ability to make performance predictions for very large machines such as Blue Gene/L. We illustrate the utility of our simulators using validation and prediction studies of several applications using smaller numbers of processors for simulations.

Original languageEnglish (US)
Pages (from-to)183-207
Number of pages25
JournalInternational Journal of Parallel Programming
Volume33
Issue number2-3
DOIs
StatePublished - Jun 2005

Keywords

  • Adaptive MPI
  • CHARMH
  • Computation modeling
  • Large parallel machines
  • Simulation-based performance prediction

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Information Systems

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