Parallel extension of a dynamic performance forecasting tool

Eddy Caron, Frédéric Desprez, Frédéric Suter

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

This paper presents an extension of a performance evaluation library called Fast to handle parallel routines. Fast is a dynamic performance forecasting tool in a grid environment. We propose to combine estimations given by Fast about sequential computation routines and network availability to parallel routine models coming from code analysis.

Original languageEnglish
Pages (from-to)57-69
Number of pages13
JournalScalable Computing
Volume6
Issue number1
StatePublished - 2005
Externally publishedYes

Funding

This work was supported in part by the projects ACI GRID-GRID ASP and RNTL GASP funded by the French Ministery of research. We would like to thank the ID laboratory for granting access to its Cluster Computing Center, this work having been done on the ID/HP cluster (http://icluster.imag.fr/).

Keywords

  • Parallel routines
  • Performance forecasting and modeling

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