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

J. M. Alonso, V. Hernández, Germán Moltó
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引用次数: 5

Abstract

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.
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具有计算密集型生物医学应用的大规模网格部署经验
随着最近网格计算技术的出现,资源匮乏的应用程序可以从网格旨在提供的强大功能中受益匪浅。在本文中,我们关注网格计算在模拟心脏组织电活动的生物医学计算密集型应用中的应用。开发了一个名为GMarte的用户级工具,以简化在分布式部署上执行科学应用程序的网格工具的使用。为了评估网格计算的好处,通过GMarte在欧洲最大的分布式网格部署(EGEE测试平台)上执行了一个心脏案例研究。网格基础设施的使用大大减少了执行案例研究所需的时间,从而提高了研究效率。
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