Performance instrumentation and measurement for terascale systems

Jack Dongarra; Allen D. Malony; Shirley Moore; Philip Mucci; Sameer Shende

doi:10.1007/3-540-44864-0_6

Performance instrumentation and measurement for terascale systems

Jack Dongarra, Allen D. Malony, Shirley Moore, Philip Mucci, Sameer Shende

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

14 Scopus citations

Abstract

As computer systems grow in size and complexity, tool support is needed to facilitate the efficient mapping of large-scale applications onto these systems. To help achieve this mapping, performance analysis tools must provide robust performance observation capabilities at all levels of the system, as well as map low-level behavior to high-level program constructs. Instrumentation and measurement strategies, developed over the last several years, must evolve together with performance analysis infrastructure to address the challenges of new scalable parallel systems.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Peter M. A. Sloot, David Abramson, Alexander V. Bogdanov, Yuriy E. Gorbachev, Jack J. Dongarra, Albert Y. Zomaya
Publisher	Springer Verlag
Pages	53-62
Number of pages	10
ISBN (Print)	3540401970, 9783540401971
DOIs	https://doi.org/10.1007/3-540-44864-0_6
State	Published - 2003
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2660
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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10.1007/3-540-44864-0_6

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Dongarra, J., Malony, A. D., Moore, S., Mucci, P., & Shende, S. (2003). Performance instrumentation and measurement for terascale systems. In P. M. A. Sloot, D. Abramson, A. V. Bogdanov, Y. E. Gorbachev, J. J. Dongarra, & A. Y. Zomaya (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 53-62). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2660). Springer Verlag. https://doi.org/10.1007/3-540-44864-0_6

Dongarra, Jack ; Malony, Allen D. ; Moore, Shirley et al. / Performance instrumentation and measurement for terascale systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Peter M. A. Sloot ; David Abramson ; Alexander V. Bogdanov ; Yuriy E. Gorbachev ; Jack J. Dongarra ; Albert Y. Zomaya. Springer Verlag, 2003. pp. 53-62 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "As computer systems grow in size and complexity, tool support is needed to facilitate the efficient mapping of large-scale applications onto these systems. To help achieve this mapping, performance analysis tools must provide robust performance observation capabilities at all levels of the system, as well as map low-level behavior to high-level program constructs. Instrumentation and measurement strategies, developed over the last several years, must evolve together with performance analysis infrastructure to address the challenges of new scalable parallel systems.",

author = "Jack Dongarra and Malony, \{Allen D.\} and Shirley Moore and Philip Mucci and Sameer Shende",

year = "2003",

doi = "10.1007/3-540-44864-0\_6",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "53--62",

editor = "Sloot, \{Peter M. A.\} and David Abramson and Bogdanov, \{Alexander V.\} and Gorbachev, \{Yuriy E.\} and Dongarra, \{Jack J.\} and Zomaya, \{Albert Y.\}",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Dongarra, J, Malony, AD, Moore, S, Mucci, P & Shende, S 2003, Performance instrumentation and measurement for terascale systems. in PMA Sloot, D Abramson, AV Bogdanov, YE Gorbachev, JJ Dongarra & AY Zomaya (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2660, Springer Verlag, pp. 53-62. https://doi.org/10.1007/3-540-44864-0_6

Performance instrumentation and measurement for terascale systems. / Dongarra, Jack; Malony, Allen D.; Moore, Shirley et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Peter M. A. Sloot; David Abramson; Alexander V. Bogdanov; Yuriy E. Gorbachev; Jack J. Dongarra; Albert Y. Zomaya. Springer Verlag, 2003. p. 53-62 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2660).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Dongarra, Jack

AU - Malony, Allen D.

AU - Moore, Shirley

AU - Mucci, Philip

AU - Shende, Sameer

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N2 - As computer systems grow in size and complexity, tool support is needed to facilitate the efficient mapping of large-scale applications onto these systems. To help achieve this mapping, performance analysis tools must provide robust performance observation capabilities at all levels of the system, as well as map low-level behavior to high-level program constructs. Instrumentation and measurement strategies, developed over the last several years, must evolve together with performance analysis infrastructure to address the challenges of new scalable parallel systems.

AB - As computer systems grow in size and complexity, tool support is needed to facilitate the efficient mapping of large-scale applications onto these systems. To help achieve this mapping, performance analysis tools must provide robust performance observation capabilities at all levels of the system, as well as map low-level behavior to high-level program constructs. Instrumentation and measurement strategies, developed over the last several years, must evolve together with performance analysis infrastructure to address the challenges of new scalable parallel systems.

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DO - 10.1007/3-540-44864-0_6

M3 - Chapter

AN - SCOPUS:28044453637

SN - 3540401970

SN - 9783540401971

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 53

EP - 62

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

A2 - Sloot, Peter M. A.

A2 - Abramson, David

A2 - Bogdanov, Alexander V.

A2 - Gorbachev, Yuriy E.

A2 - Dongarra, Jack J.

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PB - Springer Verlag

ER -

Dongarra J, Malony AD, Moore S, Mucci P, Shende S. Performance instrumentation and measurement for terascale systems. In Sloot PMA, Abramson D, Bogdanov AV, Gorbachev YE, Dongarra JJ, Zomaya AY, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2003. p. 53-62. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-44864-0_6

Performance instrumentation and measurement for terascale systems

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