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AINA
2009
IEEE

Brain Image Registration Analysis Workflow for fMRI Studies on Global Grids

9 years 2 months ago
Brain Image Registration Analysis Workflow for fMRI Studies on Global Grids
Scientific applications like neuroscience data analysis are usually compute and data-intensive. With the use of the additional capacity offered by distributed resources and suitable middlewares, we can achieve much shorter execution time, distribute compute and storage load, and add greater flexibility to the execution of these scientific applications than we could ever achieve in a single compute resource. In this paper, we present the processing of Image Registration (IR) for Functional Magnetic Resonance Imaging (fMRI) studies on Global Grids. We characterize the application, list its requirements and then transform it to a workflow. We then execute the application on Grid'5000 platform and present extensive performance results. We show that the IR application can have 1) significantly improved makespan, 2) distribution of compute and storage load among resources used, and 3) flexibility when executing multiple times on the Grid with the use of suitable middlewares.
Suraj Pandey, William Voorsluys, Mustafizur Rahman
Added 12 Aug 2010
Updated 12 Aug 2010
Type Conference
Year 2009
Where AINA
Authors Suraj Pandey, William Voorsluys, Mustafizur Rahman 0003, Rajkumar Buyya, James E. Dobson, Kenneth Chiu
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