HPC AND GRID COMPUTING FOR INTEGRATIVE BIOMEDICAL RESEARCH.

Tahsin Kurc, Shannon Hastings, Vijay Kumar, Stephen Langella, Ashish Sharma, Tony Pan, Scott Oster, David Ervin, Justin Permar, Sivaramakrishnan Narayanan, Yolanda Gil, Ewa Deelman, Mary Hall, Joel Saltz
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Abstract

Integrative biomedical research projects query, analyze, and integrate many different data types and make use of datasets obtained from measurements or simulations of structure and function at multiple biological scales. With the increasing availability of high-throughput and high-resolution instruments, the integrative biomedical research imposes many challenging requirements on software middleware systems. In this paper, we look at some of these requirements using example research pattern templates. We then discuss how middleware systems, which incorporate Grid and high-performance computing, could be employed to address the requirements.

用于综合生物医学研究的高性能计算和网格计算。
综合生物医学研究项目查询、分析和整合许多不同的数据类型,并利用从多种生物尺度的结构和功能的测量或模拟中获得的数据集。随着高通量和高分辨率仪器的日益普及,综合生物医学研究对软件中间件系统提出了许多具有挑战性的要求。在本文中,我们将使用示例研究模式模板来研究其中的一些需求。然后,我们将讨论如何使用中间件系统(包含网格和高性能计算)来满足这些需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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