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Performance analysis on cray T3E

  • Forschungszentrum Jülich (FZJ)
  • University of Illinois

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

One of the reasons why parallel programming is considered to be a difficult task is that users frequently cannot predict the performance impact of implementation decisions prior to program execution. This results in a cycle of incremental performance improvements based on runtime performance data. While gathering and analyzing performance data is supported by a large number of tools, typically interactive, the task of performance analysis is still too complex for users. This article illustrates this fact based on the current analysis support on CRAY T3E. As a consequence, we are convinced that automatic analysis tools are required to identify frequently occuring and well-defined performance problems automatically. This article describes the novel design of a generic automatic performance analysis environment called KOJAK. Besides its structure we also outline the first component, EARL, a new meta-tool designed and implemented as a programmable interface to calculate more abstract metrics from existing trace files, and to locate complex patterns describing performance problems.

Original languageEnglish
Title of host publicationProceedings of the 7th Euromicro Workshop on Parallel and Distributed Processing, PDP 1999
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages241-248
Number of pages8
ISBN (Electronic)0769500595, 9780769500591
DOIs
StatePublished - 1999
Externally publishedYes
Event7th Euromicro Workshop on Parallel and Distributed Processing, PDP 1999 - Funchal, Portugal
Duration: 3 Feb 19995 Feb 1999

Publication series

NameProceedings of the 7th Euromicro Workshop on Parallel and Distributed Processing, PDP 1999

Conference

Conference7th Euromicro Workshop on Parallel and Distributed Processing, PDP 1999
Country/TerritoryPortugal
CityFunchal
Period3/02/995/02/99

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