DocumentCode :
1681650
Title :
A framework for automated performance bottleneck detection
Author :
Chung, I-Hsin ; Cong, Guojing ; Klepacki, David ; Sbaraglia, Simone ; Seelam, Seetharami ; Wen, Hui-Fang
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown, NY
fYear :
2008
Firstpage :
1
Lastpage :
7
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.
Keywords :
program diagnostics; software architecture; DARPA; architecture design; automated performance bottleneck detection; performance tuning requirement; time-spent distribution; Application software; Astrophysics; Biology computing; Computational biology; Computer architecture; Data analysis; High performance computing; Instruments; Performance analysis; Productivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on
Conference_Location :
Miami, FL
ISSN :
1530-2075
Print_ISBN :
978-1-4244-1693-6
Electronic_ISBN :
1530-2075
Type :
conf
DOI :
10.1109/IPDPS.2008.4536182
Filename :
4536182
Link To Document :
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