A performance comparison between the Earth Simulator and other terascale systems on a characteristic ASCI workload
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, whe...
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Published in: | Concurrency and computation Vol. 17; no. 10; pp. 1219 - 1238 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
Chichester, UK
John Wiley & Sons, Ltd
25-08-2005
Wiley |
Subjects: | |
Online Access: | Get full text |
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Summary: | 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. |
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Bibliography: | istex:6EE0F01085452E688F669DB049373791C34C5AAE This article is a U.S. Government work and is in the public domain in the U.S.A. ark:/67375/WNG-WWVHBQRN-X ArticleID:CPE891 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 USDOE LA-UR-03-1263 W-7405-ENG-36 |
ISSN: | 1532-0626 1532-0634 |
DOI: | 10.1002/cpe.891 |