CRI: CRD Collaborative Research: Archer - Seeding a Community-based Computing Infrastructure for Computer Architecture Research and Education

CRI：CRD 协作研究：Archer - 为计算机体系结构研究和教育提供基于社区的计算基础设施

• 批准号: 0751091
• 负责人: David Kaeli
• 金额: $ 6.76万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-04-15 至 2012-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0751091&HistoricalAwards=false
• 关键词: CRI; CRD; Collaborative; Research; Archer

Researchers at eight U.S. universities are collaborating in the development of Archer, a community-based computing infrastructure for computer architecture research and education. Archer addresses, in an integrated manner, computer architecture researchers' broad need to access powerful computational resources and share simulation environments. The project achieves this objective by deploying a large-scale, flexible, and easy-to-use computing infrastructure which adds users' local computing resources to Archer-dedicated resources as users join the network, thereby increasing Archer's computing power as more users join. In addition, the Archer project comprehends a repository where users can share tools and simulation environments they've created, adding another incentive for users to join the Archer community, facilitating collaboration among research groups, and advancing the field of computer architecture. The core hardware of Archer consists of computer clusters to be deployed at Cornell University, Florida State U., Northeastern U., Northwestern U., U. FLorida, U. Minnesota, and U. Texas at Austin. The hardware infrastructure provides hundreds of processors to support the demanding simulation workloads required by computer architecture research in areas including soft-error modeling, statistically-based design exploration, and chip-multiprocessor micro-architectures. The key software technologies enabling community resources to be aggregated in a secure, scalable and seamless manner are resource virtualization and robust batch job scheduling, which include the IPOP virtual network from U. Florida and the Condor middleware from U. Wisconsin. The Archer community resource will enable advances in computer architecture by allowing researchers, particularly those in institutions not equipped with local resources for high-throughput computing, to run large-scale simulation experiments. Its technology provides a new way to swiftly create ad-hoc shared "Grid" computing pools within or across institutions, which will pave the way to the creation of similar cyberinfrastructures for other communities.

美国八所大学的研究人员正在合作开发 Archer，这是一个用于计算机体系结构研究和教育的基于社区的计算基础设施。 Archer 以集成的方式满足计算机体系结构研究人员访问强大计算资源和共享模拟环境的广泛需求。该项目通过部署大规模、灵活且易于使用的计算基础设施来实现这一目标，当用户加入网络时，该基础设施将用户的本地计算资源添加到Archer专用资源中，从而随着更多用户的加入而提高Archer的计算能力。此外，Archer 项目还包含一个存储库，用户可以在其中共享他们创建的工具和模拟环境，这为用户加入 Archer 社区增加了另一个激励，促进研究小组之间的协作，并推动计算机体系结构领域的发展。 Archer的核心硬件由计算机集群组成，将部署在康奈尔大学、佛罗里达州立大学、东北大学、西北大学、佛罗里达大学、明尼苏达大学和德克萨斯大学奥斯汀分校。硬件基础设施提供数百个处理器来支持计算机体系结构研究所需的苛刻模拟工作负载，这些领域包括软错误建模、基于统计的设计探索和芯片多处理器微体系结构。使社区资源能够以安全、可扩展和无缝的方式聚合的关键软件技术是资源虚拟化和强大的批处理作业调度，其中包括来自佛罗里达州的IPOP虚拟网络和来自威斯康星州的Condor中间件。 Archer 社区资源将允许研究人员（特别是那些不具备高吞吐量计算本地资源的机构中的研究人员）运行大规模模拟实验，从而推动计算机体系结构的进步。其技术提供了一种在机构内部或跨机构快速创建临时共享“网格”计算池的新方法，这将为其他社区创建类似的网络基础设施铺平道路。