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Performance Analysis of Blue Gene/L Using Parallel Discrete Event Simulation

  • Ed Upchurch
  • Paul L. Springer
  • Maciej Brodowicz
  • Sharon Brunett
  • T. D. Gottschalk
Conference paper
  • 308 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2913)

Abstract

High performance computers currently under construction, such as IBM’s Blue Gene/L, consisting of large numbers (64K) of low cost processing elements with relatively small local memories (256MB) connected via relatively low bandwidth (0.375 Bytes/FLOP) low cost interconnection networks promise exceptional cost-performance for some scientific applications. Due to the large number of processing elements and adaptive routing networks in such systems, performance analysis of meaningful application kernels requires innovative methods. This paper describes a method that combines application analysis, tracing and parallel discrete event simulation to provide early performance prediction. Specifically, results of performance analysis of a Lennard-Jones Spatial (LJS) Decomposition molecular dynamics benchmark code for Blue Gene/L are given.

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References

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    Adiga, N.R., et al.: An Overview of the BlueGene/L Supercomputer. In: Proceedings of SC 2002 (November 2002)Google Scholar
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    Heidelberger, P., Steinmacher-Burow, B.: Overview of the BG/L Torus Network, http://www.llnl.gov/asci/platforms/bluegene/talks/heidelberger.pdf
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    Steinman, J.: SPEEDES: Synchronous Parallel Environment for Emulation and Discrete-Event Simulation. In: Proceedings of the SCS Western Multiconference on Advances in Parallel and Distributed Simulation (PADS 1991), vol. 23(1), pp. 95–103 (1991)Google Scholar
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    Plimpton, S.: Fast Parallel Algorithms for Short-Range Molecular Dynamics. Journal of Computational Physics 117, 1–19 (1995)zbMATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Ed Upchurch
    • 1
  • Paul L. Springer
    • 1
  • Maciej Brodowicz
    • 1
  • Sharon Brunett
    • 1
  • T. D. Gottschalk
    • 1
  1. 1.Center for Advanced Computing ResearchCalifornia Institute of TechnologyPasadenaUSA

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