A parallel-object programming model for petaflops machines and blue gene/cyclops

Abstract-Predicting sequential execution blocks of a large scale parallel application is an essential part of accurate prediction of the overall performance of the application. When simulating a future machine that is not yet fabricated, or a prototype system only available at a small scale, it becomes a significant challenge. Using hardware simulators may not be feasible due to excessively slowed down execution times and insufficient resources. These challenging issues become increasingly difficult in proportion to scale of the simulation.In this paper, we propose an approach based on statistical models to accurately predict the performance of the sequential execution blocks that comprise a parallel application. We deployed these techniques in a trace-driven simulation framework to capture both the detailed behavior of the application as well as the overall predicted performance. The technique is validated using both synthetic benchmarks and the NAMD application.

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Simulating Large Scale Parallel Applications Using Statistical Models for Sequential Execution Blocks

Zheng

Gupta

Bohm

et al. 2010

2010 IEEE 16th International Conference on Parallel and Distributed Systems

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BigSim: a parallel simulator for performance prediction of extremely large parallel machines

Zheng

Kakulapati

Kalé

18th International Parallel and Distributed Processing Symposium, 2004. Proceedings.

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Performance modeling and programming environments for petaflops computers and the blue gene machine

Zheng

Wilmarth

Lawlor

et al.

18th International Parallel and Distributed Processing Symposium, 2004. Proceedings.

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A parallel-object programming model for petaflops machines and blue gene/cyclops

Abstract: One approach for building the next generation of parallel computers is based on large aggregates of multiproces

Cited by 3 publications

References 16 publications

Simulating Large Scale Parallel Applications Using Statistical Models for Sequential Execution Blocks

Simulating Large Scale Parallel Applications Using Statistical Models for Sequential Execution Blocks

BigSim: a parallel simulator for performance prediction of extremely large parallel machines

Performance modeling and programming environments for petaflops computers and the blue gene machine

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