An extensible timing infrastructure for adaptive large-scale applications

Dylan Stark, Gabrielle Allen, Tom Goodale, Thomas Radke, Erik Schnetter

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

Abstract

Real-time access to accurate and reliable timing information is necessary to profile scientific applications, and crucial as simulations become increasingly complex, adaptive, and large-scale. The Cactus Framework provides flexible and extensible capabilities for timing information through a well designed infrastructure and timing API . Applications built with Cactus automatically gain access to built-in timers, such as gettimeofday and getrusage , system-specific hardware clocks, and high-level interfaces such as PAPI. We describe the Cactus timer interface, its motivation, and its implementation. We then demonstrate how this timing information can be used by an example scientific application to profile itself, and to dynamically adapt itself to a changing environment at run time.

Original languageEnglish (US)
Title of host publicationParallel Processing and Applied Mathematics - 7th International Conference, PPAM 2007, Revised Selected Papers
Pages1170-1179
Number of pages10
DOIs
StatePublished - 2008
Externally publishedYes
Event7th International Conference on Parallel Processing and Applied Mathematics, PPAM 2007 - Gdansk, Poland
Duration: Sep 9 2007Sep 12 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4967 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Parallel Processing and Applied Mathematics, PPAM 2007
Country/TerritoryPoland
CityGdansk
Period9/9/079/12/07

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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