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Simulation-Based Performance Prediction for Large Parallel Machines

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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.

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Authors and Affiliations

  1. Department of Computer Science, University of IIlinois at Urbana-Champaign, USA

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

Authors
  1. Gengbin Zheng
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  2. Terry Wilmarth
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  3. Praveen Jagadishprasad
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  4. Laxmikant V. Kalé
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Correspondence to Gengbin Zheng.

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Zheng, G., Wilmarth, T., Jagadishprasad, P. et al. Simulation-Based Performance Prediction for Large Parallel Machines. Int J Parallel Prog 33, 183–207 (2005). https://doi.org/10.1007/s10766-005-3582-6

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  • DOI: https://doi.org/10.1007/s10766-005-3582-6

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