Automated analysis of memory access behavior

Michael Gerndt; Tianchao Li

doi:10.1109/IPDPS.2005.116

Automated analysis of memory access behavior

Michael Gerndt, Tianchao Li

Informatik 10 - Professur für Architektur paralleler und verteilter Systeme -

Technische Universität München

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

2 Zitate (Scopus)

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.

Originalsprache	Englisch
Titel	Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
Seiten	179b
DOIs	https://doi.org/10.1109/IPDPS.2005.116
Publikationsstatus	Veröffentlicht - 2005
Veranstaltung	19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005 - Denver, CO, USA/Vereinigte Staaten Dauer: 4 Apr. 2005 → 8 Apr. 2005

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Name	Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
Band	2005

Konferenz

Konferenz	19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
Land/Gebiet	USA/Vereinigte Staaten
Ort	Denver, CO
Zeitraum	4/04/05 → 8/04/05

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10.1109/IPDPS.2005.116

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title = "Automated analysis of memory access behavior",

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.",

author = "Michael Gerndt and Tianchao Li",

year = "2005",

doi = "10.1109/IPDPS.2005.116",

language = "English",

isbn = "0769523129",

series = "Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005",

pages = "179b",

booktitle = "Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005",

note = "19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005 ; Conference date: 04-04-2005 Through 08-04-2005",

}

Gerndt, M & Li, T 2005, Automated analysis of memory access behavior. in Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005., 1420059, Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005, Bd. 2005, S. 179b, 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005, Denver, CO, USA/Vereinigte Staaten, 4/04/05. https://doi.org/10.1109/IPDPS.2005.116

Automated analysis of memory access behavior. / Gerndt, Michael; Li, Tianchao.
Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005. 2005. S. 179b 1420059 (Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005; Band 2005).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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M3 - Conference contribution

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Automated analysis of memory access behavior

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