@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",
}