Creating science driven system architectures for large scale science

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Application scientists have been frustrated by a trend of stagnating application performance, despite dramatic increases in claimed peak performance of high-performance computing systems. This trend is sometimes referred to as the "divergence problem" and often has been assumed that the ever-increasing gap between theoretical peak and sustained performance was unavoidable. However, recent results from the Earth Simulator (ES) in Japan clearly demonstrate that a close collaboration with a vendor to develop a science-driven architectural solution can produce a system that achieves a significant fraction of peak performance for critical scientific applications. This paper discusses the issues contributing to divergence problem, suggests a new approach to address the problem and documents some early successes for this approach.

Original languageEnglish (US)
Title of host publicationProceedings of the 11th ECMWF Workshop on the Use of High Performance Computing in Meteorology
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages13-24
Number of pages12
ISBN (Print)9812563547, 9789812563545
DOIs
StatePublished - 2005
Externally publishedYes
Event2004 11th ECMWF Workshop on the Use of High Performance Computing in Meteorology - Reading, United Kingdom
Duration: Oct 25 2004Oct 29 2004

Publication series

NameProceedings of the 11th ECMWF Workshop on the Use of High Performance Computing in Meteorology

Other

Other2004 11th ECMWF Workshop on the Use of High Performance Computing in Meteorology
Country/TerritoryUnited Kingdom
CityReading
Period10/25/0410/29/04

ASJC Scopus subject areas

  • Software
  • Environmental Engineering

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