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

Vijay S. Kumar, Mary Hall, Jihie Kim, Yolanda Gil, Tahsin Kurc, Ewa Deelman, Varun Ratnakar, Joel Saltz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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 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.

Original languageEnglish
Title of host publicationIPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM
DOIs
StatePublished - 2008
EventIPDPS 2008 - 22nd IEEE International Parallel and Distributed Processing Symposium - Miami, FL, United States
Duration: 14 Apr 200818 Apr 2008

Publication series

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

Conference

ConferenceIPDPS 2008 - 22nd IEEE International Parallel and Distributed Processing Symposium
Country/TerritoryUnited States
CityMiami, FL
Period14/04/0818/04/08

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