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

Upchurch, Ed and Springer, Paul L. and Brodowicz, Maciej and Brunett, Sharon and Gottschalk, T. D. (2003) Performance Analysis of Blue Gene/L Using Parallel Discrete Event Simulation. In: High Performance Computing - HiPC 2003. Lecture Notes in Computer Science. No.2913. Springer , Berlin, pp. 2-11. ISBN 978-3-540-20626-2.

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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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Additional Information:© 2003 Springer-Verlag Berlin Heidelberg. This work was performed under contract with Lawrence Livermore National Laboratory, Contract No. B520721 (Applications Requirements Machine Model Simulator).
Funding AgencyGrant Number
Livermore National LaboratoryB520721
Series Name:Lecture Notes in Computer Science
Issue or Number:2913
Record Number:CaltechAUTHORS:20191009-140018524
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:99199
Deposited By: Tony Diaz
Deposited On:09 Oct 2019 21:13
Last Modified:16 Nov 2021 17:44

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