Automated analysis of memory access behavior

Michael Gerndt, Tianchao Li

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

2 Scopus citations

Abstract

We developed an automated environment to support the analysis of memory access behaviors of applications on high performance clusters. Code optimization targeting efficient use of processor caches is crucial for achieving good performance on such systems. Our environment is able to selectively instrument OpenMP Fortran95 programs upon requests of programmer. The monitor can be configured to collect hardware counter information on specified code regions. Limitations due to the number of available physical hardware counters are automatically taken into account. The whole environment is controlled through a friendly user interface based on Eclipse and is highly portable.

Original languageEnglish
Title of host publicationProceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
Pages179b
DOIs
StatePublished - 2005
Event19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005 - Denver, CO, United States
Duration: 4 Apr 20058 Apr 2005

Publication series

NameProceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
Volume2005

Conference

Conference19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
Country/TerritoryUnited States
CityDenver, CO
Period4/04/058/04/05

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