Experiences on a large scale grid deployment with a computationally intensive biomedical application

With the recent advent of Grid Computing technologies, resource-starved applications can greatly benefit from the power that the Grid aims to deliver. In this paper, we focus on the application of Grid Computing to a biomedical computationally intensive application that simulates the electrical acti...

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Bibliographic Details
Published in18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05) pp. 567 - 569
Main Authors Alonso, J.M., Hernandez, V., Molto, G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Biomedical computing
Computational modeling
Computer applications
Europe
Grid computing
Java
Large-scale systems
Medical simulation
Middleware
Testing
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Summary:With the recent advent of Grid Computing technologies, resource-starved applications can greatly benefit from the power that the Grid aims to deliver. In this paper, we focus on the application of Grid Computing to a biomedical computationally intensive application that simulates the electrical activity on cardiac tissues. A user level tool, called GMarte, was developed to simplify the usage of Grid facilities for the execution of scientific applications on distributed deployments. A cardiac case study has been executed, via GMarte, on the largest distributed Grid deployment available in Europe (the EGEE testbed) in order to assess the benefits of Grid Computing. The usage of a Grid infrastructure has dramatically reduced the time required to execute the case study, thus increasing research productivity.
ISBN:0769523552
9780769523552
ISSN:1063-7125
DOI:10.1109/CBMS.2005.52