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Designing and parameterizing a workflow for optimization: A case study in biomedical imaging

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8 Author(s)
Kumar, V.S. ; Dept. of Biomed. Inf., Ohio State Univ., Columbus, OH ; Hall, M. ; Jihie Kim ; Gil, Y.
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This paper describes our experience to date employing the systematic mapping and optimization of large- scale scientific application workflows to current and future parallel platforms. The overall goal of the project is to integrate a set of system layers - application program, compiler, run-time environment, knowledge representation, optimization framework, and workflow manager - and through a systematic strategy for workflow mapping, our approach will exploit the vast machine resources available in such parallel platforms to dramatically increase the productivity of application programmers. In this paper, we describe the representation of a biomedical imaging application as a workflow, our early experiences in integrating the set of tools brought together for this project, and implications for future applications.

Published in:

Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on

Date of Conference:

14-18 April 2008