SCREMS: Building a Statistical Computing Environment to Support Scientific Research

SCEMS：构建支持科学研究的统计计算环境

• 批准号: 0723117
• 负责人: Deborah Nolan
• 金额: $ 9.45万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-15 至 2009-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0723117&HistoricalAwards=false
• 关键词: SCREMS; Building; Statistical; Computing; Environment

The Scientific Computing Research Environments for the MathematicalSciences grant provides crucial resources to the computinginfrastructure within the Department of Statistics at the Universityof California, Berkeley. The grant will fund the acquisition of afour-processor dual-core AMD Opteron compute-server, an Apple X-serve,a 1.5 terabyte Raid Tray with Network Attached Storage Appliance andtape drive. The compute server will be able to handle the heavy I/Oand memory requirements associated with processing and analyzing largedata sets. The heterogeneous nature of the Department's researchcomputing environment places complex demands on network filetransfer, and the network attached storage device will provide greaterreliability and functionality by supporting native file systemintegration across all platforms. The Apple Xserve running an Xgridcontroller will enable researchers to incorporate the Department'sIntel dual-core iMacs into the existing distributed computerinfrastructure.The computing equipment acquired under this grant will support severalinterdisciplinary research projects in astronomy, bioinformatics,genomics, and neuroscience. These projects bring with them heavycomputational demands due to processing large data sets, and they pushthe frontiers of statistical methodology and theory in support of theadvances in the application-specific problems. It is critical thatresearchers have the ability to move, store, and rapidly process largedata sets to support these collaborative research projects. Thesecollaborations include: the Taiwanese American Occultation Survey todetermine the distribution of comet-sized bodies in the Kuiper Belt;the Gamma-ray Large Area Telescope (GLAST), a $NASA$ mission to detectgamma-ray pulsars; the development of fast algorithms for datacompression for addressing the increasing prevalence of high-volumedata sets in modern scientific contexts; applications in neurosciencepertaining to in vivo experimentation of cortical neurons; and severalbioinformatics and genomics projects. The computing equipment willsupport the research programs of approximately twenty graduatestudents and seven post doctoral fellows. In addition, it will support theresearch of undergraduates involved in the Department's researchapprenticeship program.

数学科学科学计算研究环境基金为加州大学伯克利分校统计学系的计算基础设施提供了重要的资源。这笔资金将用于购买四处理器双核AMD Opteron计算服务器、苹果X-serve、1.5 tb带网络连接存储设备和磁带驱动器的Raid托盘。计算服务器将能够处理与处理和分析大型数据集相关的大量I/ o和内存需求。国防部研究计算环境的异构性质对网络文件传输提出了复杂的要求，网络附加存储设备将通过支持跨所有平台的本地文件系统集成来提供更高的可靠性和功能。运行Xgridcontroller的苹果Xserve将使研究人员能够将国防部的英特尔双核imac集成到现有的分布式计算机基础设施中。在这笔拨款下获得的计算设备将支持天文学、生物信息学、基因组学和神经科学方面的几个跨学科研究项目。由于处理大型数据集，这些项目带来了大量的计算需求，并且它们推动了统计方法和理论的前沿，以支持特定应用问题的进展。至关重要的是，研究人员有能力移动、存储和快速处理大型数据集，以支持这些合作研究项目。​伽马射线大面积望远镜（GLAST），这是美国国家航空航天局（NASA）的一项探测伽马射线脉冲星的任务；数据压缩快速算法的发展，以解决现代科学背景下日益流行的大容量数据集；皮层神经元体内实验在神经科学中的应用以及几个生物信息学和基因组学项目。计算设备将支持大约20名研究生和7名博士后的研究项目。此外，它将支持参与该部门研究学徒计划的本科生的研究。