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

MRI-R2：采集：混合高性能 GPU/CPU 系统

基本信息

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

项目摘要

"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).

“该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。“提案编号：09- 58854 PI（s）：Wu，Jie，Biswas，Saroj K.，Klein，Michael L.，Rivin，Igor，Shi，Yuan机构：天普大学职称： MRI-R2：收购：一个高性能GPU/CPU混合系统项目建议：该项目获得一个高性能GPU（图形处理单元）/CPU混合系统，通过部署多种类型的计算节点，并允许每个节点执行最适合传统基于CPU的任务，基于GPU的任务，以及GPU/CPU混合应用程序，实现更广泛的异构计算。满足计算机和信息科学和科学计算的两个主要研究环境，该仪器-服务于教师和学生使用现有的并行应用软件进行研究，并为系统的并行编程和并行应用开发工具，-服务于该机构和大费城地区的高性能计算和网络中心，不仅为其他部门提供服务，- 教育和培训，为学生获得实践经验的各种科学课程提供计算环境，并为当地研究界提供研究培训课程;和-通过支持与当地学院/大学的联合研究，与该州其他学校合作，促进合作，开发，测试，并应用先进的工具来设计和执行并行程序。除其他外，该中心服务于化学，计算机和信息科学，电气和计算机工程，数学，物理，肺，重症监护医学和物理治疗。该仪器特别支持在分子自组装、微血管网络、时空数据分析、大规模系统模拟、有效均匀化、容错计算等方面具有广泛影响的研究项目，并使用GPU作为加速器增强现有应用，使一些问题完全在GPU上运行。更广泛的影响：该仪器大大增强了该机构现有的计算设施。凭借其GPU/CPU组件，该仪器是大费城地区的第一个高性能计算设施，该地区具有高度的多样性。这所大学吸引了相当一部分学生来自全国最大的非洲裔美国人群体之一。该工具支持教育，培训和协作，有助于促进高科技和IT相关产业高度集中的地区的经济增长，目前还没有如此规模的高性能计算和网络中心。该区域现在能够超越最低限度的服务，促进和支持跨部门的协作与合作（例如，高等教育和地方工业）。