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

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#：09-58854PI(S)：Wu，Jie，Biswas，Saroj K.，Klein，Michael L.，Rivin，Igor，Shih，YanInstitution：天普大学标题：MRI-R2：收购：混合高性能GPU/CPU系统建议：该项目，收购一个混合的高性能GPU/CPU系统，通过部署多种类型的计算节点，让每个节点都能够执行它最适合传统的基于CPU的、基于GPU的、以及混合的GPU/CPU应用程序，从而实现更广泛的异构性计算。该仪器满足计算机和信息科学和科学计算两个主要研究环境，为使用现有并行应用软件进行研究的教职员工和学生提供服务，为系统的并行编程和并行应用开发工具，为学院的高性能计算和网络中心以及大费城地区提供服务，不仅向校园内的其他部门提供服务，还向当地社区的其他机构提供服务，如地区高中和当地学院/大学，教育和培训为各种科学课程提供计算环境，让学生获得实践经验，并为当地研究社区提供研究培训课程；和-通过支持与当地学院/大学的联合研究，与州内其他学校合作，开发、测试和应用设计和执行并行程序的先进工具，促进合作。该中心提供化学、计算机和信息科学、电气和计算机工程、数学、物理、肺、重症护理医学和物理疗法等服务。该仪器专门支持在分子自组装、微血管网络、时空数据分析、大规模系统模拟、有效统一、容错计算等方面具有广泛影响的研究项目，并使用GPU作为加速器来增强现有应用程序，使一些问题完全在GPU上运行。广泛影响：该仪器极大地增强了研究所现有的计算设施。凭借其GPU/CPU组件，该仪器是大费城地区第一个此类高性能计算设施，该地区具有高度多样性。这所大学的很大一部分学生来自美国最大的非裔美国人人口之一。该工具促进了教育、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，而该地区目前还没有这种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(例如，高等教育和地方工业)的协作与合作。

"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).