MRI-R2: Acquisition: A Hybrid High-Performance GPU/CPU System

MRI-R2：采集：混合高性能 GPU/CPU 系统

• 批准号: 0958854
• 负责人: Jie Wu
• 金额: $ 83.92万
• 依托单位: Temple University
• 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
• 起止时间: 2010-05-01 至 2013-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0958854&HistoricalAwards=false
• 关键词: MRI; R2; Acquisition; Hybrid; Performance

"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)." Proposal #: 09-58854PI(s): Wu, Jie, Biswas, Saroj K., Klein, Michael L., Rivin, Igor, Shi, YuanInstitution: Temple UniversityTitle: MRI-R2: Acquisition: A Hybrid High-Performance GPU/CPU SystemProject Proposed:This project, acquiring a hybrid high-performance GPU (graphics processing unit)/CPU system, enables broader heterogeneous computing by deploying multiple types of computing nodes and allowing each to perform the tasks to which it is best suited in traditional CPU-based, GPU based, and hybrid GPU/CPU applications. Satisfying two major research environments in computer and information sciences and scientific computing, the instrument - Serves faculty and students conducting research using existing parallel application software and developing tools for parallel programming and parallel applications of the system, - Serves the center for High Performance Computing and Networking at the institution and the greater Philadelphia region offering services not only to other departments on campus, but also to other institutions in the local community, such as area high schools and local colleges/universities , - Educates and trains providing a computing environment to various science courses for students to gain hands-on experience and offers research training sessions to the local research community; and- Fosters collaboration by supporting joint research with local colleges/universities, in collaboration with other schools in the state, to develop, test, and apply advanced tools for designing and executing parallel programs.Among others, the Center services Chemistry, Computer and Information Sciences, Electrical and Computer Engineering, Mathematics, Physics, and Pulmonary, Critical Care Medicine and Physical Therapy. The instrument specifically supports research projects with broad impact in molecular self assembly, microvessel networks, spatio-temporal data analysis, large-scale system simulation, effective uniformization, fault tolerant computing, etc. and augments existing applications using the GPU as an accelerator enabling some problems to run entirely on the GPU.Broader Impacts: The instrument greatly enhances the current computing facilities at the institution. With its GPU/CPU component, this instrument is the first of its kind of high-performance computing facility in the greater Philadelphia region, an area with a high degree of diversity. This university draws a substantial portion of its students from one of the largest African American populations in the country. Enabling education, training, and collaboration, the instrument contributes to foster economic growth in an area with a high concentration of high-tech and IT-related industries that currently has no high-performance computing and networking center of this magnitude. The region is now able to go beyond minimal services and promote and support collaboration and cooperation across sectors (e.g., higher education and local industry).

“该裁决是根据2009年《美国复苏与再投资法》（公法111-5）资助的。”提案＃：09-58854PI（S）：Wu，Jie，Biswas，Saroj K.，Klein，Klein，Michael L.，Rivin，Rivin，Igor，Shi，Yuaninstitution：Temple Universitytitle：MRI-R2：MRI-R2：获取：收购：一项Hybrid Highbrid High-Performance GPU/提出的CPU SystemProject提出：该项目，获取混合高性能GPU（图形处理单元）/CPU系统，通过部署多种类型的计算节点并允许每个任务在传统的CPU中最适合使用多种类型的计算节点，从而实现更广泛的异质计算基于基于GPU的基于GPU和混合GPU/CPU应用。该仪器满足计算机和信息科学和科学计算方面的两个主要研究环境，为使用现有的平行应用软件和开发系统的平行编程和并行应用的工具提供研究的教师和学生，为高性能计算中心和高性能中心服务该机构和大费城地区的建立网络，不仅为校园的其他部门提供服务，还向当地社区的其他机构（例如地区高中和地方学院/大学）提供服务，教育和培训为各种计算环境提供各种计算环境学生的科学课程获得动手经验并为当地研究社区提供研究培训课程；并通过与当地大学/大学的联合研究与该州的其他学校合作，开发，测试和应用高级工具来设计和执行并行程序。科学，电气和计算机工程，数学，物理和肺部，重症监护医学和物理疗法。该仪器专门支持对分子自组装，微血管网络，时空数据分析，大规模系统模拟，有效均匀化，可容忍计算等的研究项目的广泛影响，并使用GPU作为加速器来增加现有应用程序，从而增加现有应用程序完全在GPU上运行的问题。Broader的影响：该工具会大大增强了该机构当前的计算设施。借助其GPU/CPU组件，该工具是大费城地区的第一个高性能计算设施，该地区具有高度多样性的地区。该大学吸引了来自该国最大的非裔美国人人口之一的大部分学生。 该工具使教育，培训和协作能够促进高科技和IT相关的行业的促进经济增长，该地区目前尚无此类范围的高性能计算和网络中心。现在，该地区能够超越最低限度的服务，并促进和支持跨部门（例如高等教育和地方工业）的合作与合作。