用于整合生物医学研究的高性能计算与网格计算
HPC AND GRID COMPUTING FOR INTEGRATIVE BIOMEDICAL RESEARCH.
作者信息
Kurc Tahsin, Hastings Shannon, Kumar Vijay, Langella Stephen, Sharma Ashish, Pan Tony, Oster Scott, Ervin David, Permar Justin, Narayanan Sivaramakrishnan, Gil Yolanda, Deelman Ewa, Hall Mary, Saltz Joel
机构信息
CENTER FOR COMPREHENSIVE INFORMATICS, EMORY UNIVERSITY, ATLANTA, GA 30322, USA.
出版信息
Int J High Perform Comput Appl. 2009 Aug 1;23(3):252. doi: 10.1177/1094342009106192.
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.
整合性生物医学研究项目查询、分析并整合多种不同的数据类型，并利用从多个生物尺度的结构和功能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，整合性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，我们使用示例研究模式模板来探讨其中的一些要求。然后，我们讨论如何利用结合了网格和高性能计算的中间件系统来满足这些要求。
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