A performance comparison between the Earth Simulator and other terascale systems on a characteristic ASCI workload: Research Articles

  • Authors:

  • Darren J. Kerbyson;Adolfy Hoisie;Harvey J. Wasserman

  • Affiliations:

  • Performance and Architectures Laboratory (PAL), Modeling, Algorithms and Informatics Group, CCS-3, Los Alamos National Laboratory, Los Alamos, NM 87545, U.S.A.;Performance and Architectures Laboratory (PAL), Modeling, Algorithms and Informatics Group, CCS-3, Los Alamos National Laboratory, Los Alamos, NM 87545, U.S.A.;Performance and Architectures Laboratory (PAL), Modeling, Algorithms and Informatics Group, CCS-3, Los Alamos National Laboratory, Los Alamos, NM 87545, U.S.A.

  • Venue:
  • Concurrency and Computation: Practice & Experience - The High Performance Architectural Challenge: Mass Market versus Proprietary Components?
  • Year:
  • 2005

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Abstract

This work gives a detailed analysis of the relative performance of the recently installed Earth Simulator and the next top four systems in the Top500 list using predictive performance models. The Earth Simulator uses vector processing nodes interconnected using a single-stage, cross-bar network, whereas the next top four systems are built using commodity based superscalar microprocessors and interconnection networks. The performance that can be achieved results from an interplay of system characteristics, application requirements and scalability behavior. Detailed performance models are used here to predict the performance of two codes representative of the ASCI workload, namely SAGE and Sweep3D. The performance models encapsulate fully the behavior of these codes and have been previously validated on many large-scale systems. One result of this analysis is to size systems, built from the same nodes and networks as those in the top five, that will have the same performance as the Earth Simulator. In particular, the largest ASCI machine, ASCI Q, is expected to achieve a similar performance to the Earth Simulator on the representative workload. Published in 2005 by John Wiley & Sons, Ltd.This article is a U.S. Government work and is in the public domain in the U.S.A.