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High Performance Computing in Biomedicine

High Performance Computing in Biomedicine
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Author(s): Dimosthenis Kyriazis (National Technical University of Athens, Greece), Andreas Menychtas (National Technical University of Athens, Greece), Konstantinos Tserpes (National Technical University of Athens, Greece), Theodoros Athanaileas (National Technical University of Athens, Greece) and Theodora Varvarigou (National Technical University of Athens, Greece)
Copyright: 2010
Pages: 13
Source title: Biocomputation and Biomedical Informatics: Case Studies and Applications
Source Author(s)/Editor(s): Athina A. Lazakidou (University of Peloponnese, Greece)
DOI: 10.4018/978-1-60566-768-3.ch006

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Abstract

A constantly increasing number of applications from various scientific fields are finding their way towards adopting Grid technologies in order to take advantage of their capabilities: the advent of Grid environments made feasible the solution of computational intensive problems in a reliable and cost-effective way. This book chapter focuses on presenting and describing how high performance computing in general and specifically Grids can be applied in biomedicine. The latter poses a number of requirements, both computational and sharing / networking ones. In this context, we will describe in detail how Grid environments can fulfill the aforementioned requirements. Furthermore, this book chapter includes a set of cases and scenarios of biomedical applications in Grids, in order to highlight the added-value of the distributed computing in the specific domain.

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