SCREMS: Building a Statistical Computing Environment to Support Scientific Research

数理科学基金的科学计算研究环境为加州大学伯克利分校统计系内的计算基础设施提供了至关重要的资源。这笔赠款将用于购买四处理器双核AMD皓龙计算服务器、一台Apple X-Serve、一个带有网络连接存储设备的1.5TB RAID托盘和磁带机。计算服务器将能够处理与处理和分析大数据集相关的大量I/O和内存需求。新闻部研究计算环境的异质性对网络文件传输提出了复杂的要求，网络附加存储设备将支持跨所有平台的本地文件系统集成，从而提供更高的可靠性和功能。运行Xgrid控制器的Apple XServe将使研究人员能够将司法部的英特尔双核iMac整合到现有的分布式计算机基础设施中。根据这笔赠款购买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的几个跨学科研究项目。这些项目由于处理大数据集而带来了巨大的计算需求，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步。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，以支持这些协作研究项目。这些合作包括：台湾的美国掩星调查，以确定彗星大小的天体在柯伊伯带的分布；伽马射线广域望远镜，这是美国宇航局的一个$NASA任务，用于探测伽马射线脉冲星；开发快速数据压缩算法，以解决现代科学背景下日益普遍的高容量数据集；神经科学中的应用，与大脑皮层神经元的活体实验；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名毕业生和7名博士后研究员的研究项目。此外，它还将支持参与系研究实习计划的本科生的研究。

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.