Automated performance analysis using ASL performance properties

Karl Fürlinger; Michael Gerndt

doi:10.1007/978-3-540-75755-9_48

Automated performance analysis using ASL performance properties

Karl Fürlinger
, Michael Gerndt

Informatics 10 - Associate Professorship of Architecture of Parallel and Distributed Systems

Technical University of Munich

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

Abstract

We present our approach for automating the performance analysis of parallel applications based on the idea of ASL performance properties. Our tool Periscope automatically searches for inefficiencies specified as ASL properties, leveraging a set of agents distributed over the target machine and arranged in a tree-like hierarchy. Decomposing the analysis using a set of agents allows the analysis process to be performed in a scalable way. If the machine or target application scales in number of nodes or processors used, Periscope similarly scales in number of agents employed.

Original language	English
Title of host publication	Applied Parallel Computing
Subtitle of host publication	State of the Art in Scientific Computing - 8th International Workshop, PARA 2006, Revised Selected Papers
Publisher	Springer Verlag
Pages	390-397
Number of pages	8
ISBN (Print)	9783540757542
DOIs	https://doi.org/10.1007/978-3-540-75755-9_48
State	Published - 2007
Event	8th International Workshop on Applied Parallel Computing, PARA 2006 - Umea, Sweden Duration: 18 Jun 2007 → 21 Jun 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4699 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Workshop on Applied Parallel Computing, PARA 2006
Country/Territory	Sweden
City	Umea
Period	18/06/07 → 21/06/07

Access to Document

10.1007/978-3-540-75755-9_48

Cite this

Fürlinger, K., & Gerndt, M. (2007). Automated performance analysis using ASL performance properties. In Applied Parallel Computing: State of the Art in Scientific Computing - 8th International Workshop, PARA 2006, Revised Selected Papers (pp. 390-397). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4699 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-75755-9_48

Fürlinger, Karl ; Gerndt, Michael. / Automated performance analysis using ASL performance properties. Applied Parallel Computing: State of the Art in Scientific Computing - 8th International Workshop, PARA 2006, Revised Selected Papers. Springer Verlag, 2007. pp. 390-397 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Automated performance analysis using ASL performance properties",

abstract = "We present our approach for automating the performance analysis of parallel applications based on the idea of ASL performance properties. Our tool Periscope automatically searches for inefficiencies specified as ASL properties, leveraging a set of agents distributed over the target machine and arranged in a tree-like hierarchy. Decomposing the analysis using a set of agents allows the analysis process to be performed in a scalable way. If the machine or target application scales in number of nodes or processors used, Periscope similarly scales in number of agents employed.",

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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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Fürlinger, K & Gerndt, M 2007, Automated performance analysis using ASL performance properties. in Applied Parallel Computing: State of the Art in Scientific Computing - 8th International Workshop, PARA 2006, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4699 LNCS, Springer Verlag, pp. 390-397, 8th International Workshop on Applied Parallel Computing, PARA 2006, Umea, Sweden, 18/06/07. https://doi.org/10.1007/978-3-540-75755-9_48

Automated performance analysis using ASL performance properties. / Fürlinger, Karl; Gerndt, Michael.
Applied Parallel Computing: State of the Art in Scientific Computing - 8th International Workshop, PARA 2006, Revised Selected Papers. Springer Verlag, 2007. p. 390-397 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4699 LNCS).

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

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AB - We present our approach for automating the performance analysis of parallel applications based on the idea of ASL performance properties. Our tool Periscope automatically searches for inefficiencies specified as ASL properties, leveraging a set of agents distributed over the target machine and arranged in a tree-like hierarchy. Decomposing the analysis using a set of agents allows the analysis process to be performed in a scalable way. If the machine or target application scales in number of nodes or processors used, Periscope similarly scales in number of agents employed.

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Fürlinger K, Gerndt M. Automated performance analysis using ASL performance properties. In Applied Parallel Computing: State of the Art in Scientific Computing - 8th International Workshop, PARA 2006, Revised Selected Papers. Springer Verlag. 2007. p. 390-397. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-75755-9_48

Automated performance analysis using ASL performance properties

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