High Performance Computing Cluster for Bioimaging and Computational Biology

用于生物成像和计算生物学的高性能计算集群

• 批准号: 7795193
• 负责人: ANDREJ SALI
• 金额: $ 49.95万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-03-18 至 2011-03-17
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7795193
• 关键词: Administrator; Air Conditioning; Biomedical Research; California; Computational Biology; Data Analyses; Data Set; Discipline; Electron Microscopy; Funding; Genomics; Grant; High Performance Computing; Institutes; Linux; Magnetic Resonance Imaging; Medical Informatics; Modeling; NMR Spectroscopy; Performance; Pharmacogenomics; Process; Research; Research Personnel; San Francisco; Structure; System; Systems Biology; United States National Institutes of Health; Universities; Wages; X-Ray Crystallography; base; bioimaging; cluster computing; computer cluster; cost; drug discovery; macromolecular assembly; programs; protein folding; protein structure; public health relevance; simulation; structural biology; supercomputer; virtual

DESCRIPTION (provided by applicant): We propose to add 1,400 processor cores to the existing shared computing cluster at California Institute for Quantitative Biosciences (QB3) at University of California, San Francisco. The upgraded Linux-based cluster of 2,800 processor cores will provide supercomputer class performance at a fraction of the cost. The cluster will be used by at least 23 NIH-funded biomedical researchers and will support at least 84 active and pending NIH grants. Research programs include virtual drug discovery, protein structure modeling, protein folding simulations, integrative structure determination of macromolecular assemblies, structure determination by X-ray crystallography, NMR spectroscopy and electron microscopy, systems biology, processing of Magnetic Resonance Imaging data, analysis of datasets in genomics and pharmacogenomics, and medical informatics. The computer cluster will make it possible to carry out computationally intensive biomedical research not otherwise feasible, and thus significantly increase the rate of scientific discovery in a number of biomedical research disciplines. Institutional support for the cluster will be provided by the California Institute of Quantitative Biosciences (QB3) and consists of space, power, air conditioning, and salary support for a system administrator. PUBLIC HEALTH RELEVANCE: The proposed computer cluster will be used by at least 23 NIH-funded biomedical researchers and will support at least 84 active and pending NIH grants. Research programs span the fields of drug discovery, structural biology, systems biology, genomics, bioimaging, and medical informatics. The computer cluster will make it possible to carry out computationally intensive biomedical research not otherwise feasible.

描述（由申请人提供）：我们建议在加利福尼亚大学加利福尼亚大学旧金山分校的加利福尼亚定量生物科学研究所（QB3）的现有共享计算集群中添加1,400个处理器核心。基于2,800个处理器内核的基于Linux的群集将以成本的一小部分提供超级计算机类的性能。该集群将至少由NIH资助的生物医学研究人员使用，并将至少支持84个主动和未决的NIH赠款。研究计划包括虚拟药物发现，蛋白质结构建模，蛋白质折叠模拟，大分子组件的整合结构确定，通过X射线晶体学，NMR光谱和电子显微镜确定结构，系统生物学，磁共振成像的处理，对基因组学和药物基因组学中数据集的分析以及医学信息学分析。计算机集群将使进行计算密集型生物医学研究以其他方式不可行，从而可以显着提高许多生物医学研究学科的科学发现率。加利福尼亚州定量生物科学研究所（QB3）将提供对集群的机构支持，并由系统管理员为空间，电力，空调和工资支持组成。 公共卫生相关性：拟议的计算机群集将至少由NIH资助的生物医学研究人员使用，并将至少支持84个活跃和未决的NIH赠款。研究计划涵盖了药物发现，结构生物学，系统生物学，基因组学，生物成像和医学信息学领域。计算机集群将使在计算密集型生物医学研究中进行其他不可行的生物医学研究成为可能。