Keeneland: National Institute for Experimental Computing

基恩兰：国家实验计算研究所

• 批准号: 0910735
• 负责人: Jeffrey Vetter
• 金额: $ 1200万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2015-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0910735&HistoricalAwards=false
• 关键词: Keeneland; National; Institute; Experimental; Computing

Many-core processor architectures are rapidly emerging in many computing environments. One of their attractions is the ability to speed up significantly computation for certain classes of algorithm. In addition, they typically offer lower energy consumption per unit of computation. Several recent studies have identified the development of effective methods for efficiently programming many-core architectures as a major challenge. This project will make available, as experimental platforms, two systems in which one form of many-core processor with very high memory bandwidth, a graphics processing unit, is deployed at scale for use as an accelerator for high-performance parallel computing. The Georgia Institute of Technology (Georgia Tech) and its partners, the University of Tennessee at Knoxville and the Oak Ridge National Laboratory will initially acquire and deploy a small, experimental, high-performance computing system consisting of an HP system with NVIDIA Tesla accelerators attached. This will be integrated into the TeraGrid. The project team will use this system to develop scientific libraries and programming tools to facilitate the development of science and engineering research applications. The project team will also provide consulting support to researchers who wish to develop applications for the system using OpenCL or to port applications to the system. In 2012, the project will upgrade the heterogeneous system to a larger and more powerful system based on a next-generation platform and NVIDIA accelerators. It is anticipated that the final system will have a peak performance of roughly 2 petaflops/s. The project will operate the upgraded system as a TeraGrid resource for a further two years.The final system has the potential to support many different science areas. Possible areas of impact include some of the scientific domains in which GPU-based acceleration has already been demonstrated to have an impact at smaller scale; for example, chemistry and biochemistry, materials science, atmospheric science and combustion science. In addition to providing infrastructure for science and engineering research and education, the project partners will educate and train the next-generation of computational scientists on cutting-edge computing architectures and emerging programming environments, using the experimental computing resource as one example.

众核处理器架构在许多计算环境中迅速兴起。 它们的吸引力之一是能够显着加快某些类别算法的计算速度。 此外，它们通常每单位计算的能耗较低。 最近的几项研究表明，开发有效的多核架构编程方法是一项重大挑战。 该项目将提供两个系统作为实验平台，其中大规模部署一种具有极高内存带宽的众核处理器（图形处理单元），用作高性能并行计算的加速器。 佐治亚理工学院 (Georgia Tech) 及其合作伙伴田纳西大学诺克斯维尔分校和橡树岭国家实验室将首先采购并部署一个小型实验性高性能计算系统，该系统由连接了 NVIDIA Tesla 加速器的 HP 系统组成。 这将集成到 TeraGrid 中。 项目团队将利用该系统开发科学库和编程工具，以促进科学和工程研究应用的开发。 项目团队还将为希望使用 OpenCL 为系统开发应用程序或将应用程序移植到系统的研究人员提供咨询支持。 2012年，该项目将把异构系统升级为基于下一代平台和NVIDIA加速器的更大、更强大的系统。 预计最终系统的峰值性能约为 2 petaflops/s。 该项目将把升级后的系统作为 TeraGrid 资源运行两年。最终的系统有潜力支持许多不同的科学领域。 可能产生影响的领域包括一些科学领域，基于 GPU 的加速已被证明可以在较小范围内产生影响；例如，化学和生物化学、材料科学、大气科学和燃烧科学。 除了为科学和工程研究和教育提供基础设施外，项目合作伙伴还将以实验计算资源为例，就尖端计算架构和新兴编程环境对下一代计算科学家进行教育和培训。