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Third Annual International Workshop on Active Middleware Services   p. 3
Prophesy: Automating the Modeling Process
Valerie Taylor, Northwestern University
Xingfu Wu, Northwestern University
Jonathan Geisler, Northwestern University
Xin Li, Northwestern University
Zhiling Lan, Northwestern University
Mark Hereld, Argonne National Laboratory
Ivan R. Judson, Argonne National Laboratory
Rick Stevens, Argonne National Laboratory

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AMS.2001.993715
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Abstract
Performance models provide significant insight into the performance relationships between an application and the system, either parallel or distributed, used for execution. The development of models often requires significant time, sometimes in the range of months, to develop; this is especially the case for detailed models. This paper presents our approach to reducing the time required for model development. We present the concept of an automated model builder within the Prophesy infrastructure, which also includes automated instrumentation and extensive databases for archiving the performance data. In particular, we focus on the automation of the development of analytical performance models. The concepts include the automation of some well-established techniques, such as curve fitting, and a new technique that develops models as a composition of other models of core components or kernels in the application.
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Citation:  Valerie Taylor, Xingfu Wu, Jonathan Geisler, Xin Li, Zhiling Lan, Mark Hereld, Ivan R. Judson, Rick Stevens, "Prophesy: Automating the Modeling Process," ams, p. 3,  Third Annual International Workshop on Active Middleware Services,  2001