Simulation-Based Performance Prediction for Large Parallel Machines |
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Authors: | Gengbin Zheng Terry Wilmarth Praveen Jagadishprasad Laxmikant V Kalé |
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Affiliation: | (1) Department of Computer Science, University of IIlinois at Urbana-Champaign, USA |
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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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Keywords: | Simulation-based performance prediction large parallel machines computation modeling CHARMH adaptive MPI |
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