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MRI-R2: Acquisition of a high performance central computing facility at UCSB

MRI-R2: Acquisition of a high performance central computing facility at UCSB
MRI-R2:在 UCSB 收购高性能中央计算设施
批准号:
0960316
负责人:
Frank Brown
金额:
$66.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-05-01 至 2013-04-30

项目摘要

项目成果

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中文摘要
翻译
“这项奖励是根据2009年美国复苏和再投资法案(公法111-5)资助的。”提案号:09-60316PI(s): Brown, Frank, L.;弗雷德里克森,格伦,h;卡洛斯Garcia-Cervera;约翰·吉尔伯特;Van de Walle, Christian, g .机构:加州大学圣巴巴拉分校标题:MRI-R2:在加州大学圣巴巴拉分校获得高性能中央计算设施项目建议:该项目,获得一个计算集群来取代一个六年的系统,允许数十名研究人员访问快速中等规模的并行计算,并作为该机构并行计算的主要资源。该系统的结构适合多种用途。标准的MPI计算是通过一个紧密耦合的四核处理器集群进行的,而“胖节点”则具有256 GB的RAM以及需要大量共享内存的本地高速磁盘存储服务作业。积极开发代码的研究人员可以利用GPU(图形处理)节点的独特性能特征。该系统将有几个NVidia Tesla节点。该系统的用户来自工程学院的所有五个系(化学工程、计算机科学、电子与计算机工程、材料和机械工程),数学、生命与物理科学系的七个系(化学与生物化学、地球科学、生态与进化、海洋生物学、数学、分子细胞与发育生物学、物理学和心理学),以及人文社会科学学部的经济、地理、媒体艺术与技术系。此外,该系统还支持八个校园中心的研究:Allosphere研究设施、加州纳米系统研究所、聚合物和有机固体中心、地壳研究所、Kavli理论物理研究所、材料研究实验室、国家生态分析与合成中心和神经科学研究所。新系统将设在与以前系统相同的地点,并将采用过去六年中使用的同样成功的行政和维护程序。提议的集群将通过UC Grid访问,UC Grid是一个门户网站接口,使高性能计算资源易于在台式机器(pc或mac)上使用。购买的系统将有三年的保修期。以往的经验表明,在集群的使用寿命(3年)期间,预计只有少数节点会出现故障。更广泛的影响:通过校园范围内的设施,跨学科和协作性质的研究,可以提供给广泛的研究社区。绝大多数用户(约75%)由博士后、研究生和本科生(5%)组成,这使得该奖项实现了NSF整合研究和教育的长期目标。延伸到K-12是通过一个新的倡议,科学思想学校(SST),让我们探索物理科学(LEAPS)计划的延伸。在SST项目下,加州大学圣迭戈分校的理工科研究生在周六为高中生设计并教授一门课程。此外,与该提案相关的许多教师通过高级学位项目参加了加州大学卓越领导力项目,该项目增加了加州大学圣迭戈分校理工科学生的人数。
英文摘要
"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)." Proposal #: 09-60316PI(s): Brown, Frank, L.; Fredrickson, Glenn, H.; Garcia-Cervera, Carlos; Gilbert, John, R.; Van de Walle, Christian, G.Institution: University of California-Santa Barbara Title: MRI-R2: Acquisition of a High Performance Central Computing Facility at UCSBProject Proposed:This project, acquiring of a computational cluster to replace a six-year-old system, allows access to fast mid-sized parallel computation to dozens of researchers and serves as the institution's primary resource for parallel computation. The system is structured for a variety of uses. Standard MPI computation is carried out with a tightly coupled cluster of quad core processors, while 'fat nodes' with 256 GB of RAM as well as local high speed disk storage service jobs that require large shared memory. Researchers actively developing codes can take advantage of the unique performance characteristics of GPU (graphics processing) nodes. The system will have several NVidia Tesla nodes.The users of the system are drawn from all five departments of the College of Engineering (Chemical Engineering, Computer Science, Electrical & Computer Engineering, Materials, and Mechanical Engineering), seven departments of the Division of Mathematical, Life and Physical Sciences (Chemistry & Biochemistry, Earth Science, Ecology Evolution & Marine Biology, Mathematics, Molecular Cellular & Developmental Biology, Physics, and Psychology), as well as the departments of Economics, Geography, and Media Arts & Technology from the Division of Humanities and Social Sciences. In addition, the system supports research in eight campus centers: Allosphere Research Facility, the California NanoSystems Institute, the Center for Polymers and Organic Solids, the Institute for Crustal Studies, the Kavli Institute for Theoretical Physics, the Materials Research Laboratory, the National Center for Ecological Analysis & Synthesis, and the Neuroscience Research Institute.The new system will be housed in the same location as the previous one where the same successful administrative and maintenance procedures used for the past six years will be applied. The proposed cluster will be accessible via the UC Grid, a web portal interface that makes high performance computing resources easy to use from desktop machines (PCs or Macs). The acquired system will come with a three-year warranty. Prior experience has shown that only a small number of nodes are expected to malfunction during the useful lifetime ( 3 years) of the cluster. Broader Impacts: The research enabled by the campus-wide facility, interdisciplinary and collaborative in nature, is available to the broad research community. The large majority of users, roughly 75%, consists of postdocs, graduate students, and undergraduates (5%), allowing this award to accomplish NSF's longstanding goal of integrating research and education. Outreach to K-12 takes place via a new initiative, The School for Scientific Thought (SST), an extension to the Let's Explore Physical Sciences (LEAPS) Program. Under the SST Program UCSB science and engineering graduate students design and teach a course for an audience of high school students on Saturdays. In addition, many of the faculty associated with this proposal participate in the UC Leadership Excellence through the Advanced Degrees program that has increased the number of underrepresented students in science and engineering at UCSB.
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Theoretical methods in chemistry and biophysics
MRI: Acquisition of a High Performance Central Computing Facility at University of California Santa Barbara
Theoretical methods in chemistry and biophysics
Stochastic methods in chemistry and biophysics
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