A framework for automated performance bottleneck detection

I. Hsin Chung; Guojing Cong; David Klepacki; Simone Sbaraglia; Seetharami Seelam; Hui Fang Wen

doi:10.1109/IPDPS.2008.4536182

A framework for automated performance bottleneck detection

I. Hsin Chung, Guojing Cong, David Klepacki, Simone Sbaraglia, Seetharami Seelam, Hui Fang Wen

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

15 Scopus citations

Abstract

In this paper, we present the architecture design and implementation of a framework for automated performance bottleneck detection. The framework analyzes the time-spent distribution in the application and discovers the performance bottlenecks by using given bottleneck definitions. The user can query the application execution performance to identify performance problems. The design of the framework is flexible and extensible so it can be tailored based on the actual application execution environment and performance tuning requirement. To demonstrate the usefulness of the framework, we apply the framework on a practical DARPA application and show how it helps to identify performance bottlenecks. The framework helps to automate the performance tuning process and improve the user's productivity.

Original language	English
Title of host publication	IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM
DOIs	https://doi.org/10.1109/IPDPS.2008.4536182
State	Published - 2008
Externally published	Yes
Event	IPDPS 2008 - 22nd IEEE International Parallel and Distributed Processing Symposium - Miami, FL, United States Duration: Apr 14 2008 → Apr 18 2008

Publication series

Name	IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM

Conference

Conference	IPDPS 2008 - 22nd IEEE International Parallel and Distributed Processing Symposium
Country/Territory	United States
City	Miami, FL
Period	04/14/08 → 04/18/08

Access to Document

10.1109/IPDPS.2008.4536182

Cite this

Chung, I. H., Cong, G., Klepacki, D., Sbaraglia, S., Seelam, S., & Wen, H. F. (2008). A framework for automated performance bottleneck detection. In IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM Article 4536182 (IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM). https://doi.org/10.1109/IPDPS.2008.4536182

Chung, I. Hsin ; Cong, Guojing ; Klepacki, David et al. / A framework for automated performance bottleneck detection. IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM. 2008. (IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM).

@inproceedings{44e17865ddae4ca998bf36023e5655bc,

title = "A framework for automated performance bottleneck detection",

abstract = "In this paper, we present the architecture design and implementation of a framework for automated performance bottleneck detection. The framework analyzes the time-spent distribution in the application and discovers the performance bottlenecks by using given bottleneck definitions. The user can query the application execution performance to identify performance problems. The design of the framework is flexible and extensible so it can be tailored based on the actual application execution environment and performance tuning requirement. To demonstrate the usefulness of the framework, we apply the framework on a practical DARPA application and show how it helps to identify performance bottlenecks. The framework helps to automate the performance tuning process and improve the user's productivity.",

author = "Chung, {I. Hsin} and Guojing Cong and David Klepacki and Simone Sbaraglia and Seetharami Seelam and Wen, {Hui Fang}",

year = "2008",

doi = "10.1109/IPDPS.2008.4536182",

language = "English",

isbn = "9781424416943",

series = "IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM",

booktitle = "IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM",

note = "IPDPS 2008 - 22nd IEEE International Parallel and Distributed Processing Symposium ; Conference date: 14-04-2008 Through 18-04-2008",

}

Chung, IH, Cong, G, Klepacki, D, Sbaraglia, S, Seelam, S & Wen, HF 2008, A framework for automated performance bottleneck detection. in IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM., 4536182, IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM, IPDPS 2008 - 22nd IEEE International Parallel and Distributed Processing Symposium, Miami, FL, United States, 04/14/08. https://doi.org/10.1109/IPDPS.2008.4536182

A framework for automated performance bottleneck detection. / Chung, I. Hsin; Cong, Guojing; Klepacki, David et al.
IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM. 2008. 4536182 (IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM).

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

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AB - In this paper, we present the architecture design and implementation of a framework for automated performance bottleneck detection. The framework analyzes the time-spent distribution in the application and discovers the performance bottlenecks by using given bottleneck definitions. The user can query the application execution performance to identify performance problems. The design of the framework is flexible and extensible so it can be tailored based on the actual application execution environment and performance tuning requirement. To demonstrate the usefulness of the framework, we apply the framework on a practical DARPA application and show how it helps to identify performance bottlenecks. The framework helps to automate the performance tuning process and improve the user's productivity.

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Chung IH, Cong G, Klepacki D, Sbaraglia S, Seelam S, Wen HF. A framework for automated performance bottleneck detection. In IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM. 2008. 4536182. (IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM). doi: 10.1109/IPDPS.2008.4536182

A framework for automated performance bottleneck detection

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