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: 0750847
• 负责人: Gokhan Memik
• 金额: $ 6.76万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Continuing 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=0750847&HistoricalAwards=false
• 关键词: CRI; CRD; Collaborative; Research; Archer

Abstract 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.

美国八所大学的摘要研究人员正在与Archer的发展开发，这是一个基于社区的计算机架构研究和教育的计算基础架构。 Archer以综合的方式解决了计算机架构研究人员访问强大的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架构来实现这一目标，该计算基础架构在用户加入网络时将用户的本地计算资源添加到Archer-Dedicatienated Resources中，从而在更多用户加入时增加了Archer的计算能力。此外，Archer项目还理解了一个存储库，用户可以共享他们创建的工具和仿真环境，从而增加了另一个动机，使用户加入Archer社区，促进研究小组之间的协作，并推进计算机架构领域。弓箭手的核心硬件由计算机簇组成，该计算机簇将在佛罗里达州康奈尔大学，美国东北部，美国，美国佛罗里达州，美国明尼苏达州和美国德克萨斯州奥斯汀。硬件基础架构提供了数百个处理器，以支持计算机架构研究所需的苛刻的模拟工作负载，包括软纠错建模，基于统计的设计探索和CHIP-Multiprocessor微型构造。使社区资源能够以安全，可扩展和无缝的方式汇总的关键软件技术是资源虚拟化和强大的批处理作业计划，其中包括来自美国佛罗里达州的IPOP虚拟网络和U. Wisconsin的Condor Mifderware。 Archer社区资源将通过允许研究人员（尤其是那些不具备当地资源用于高通量计算的机构的研究人员）来实现计算机架构的进步，以运行大规模的模拟实验。它的技术提供了一种新的方式，可以迅速在机构内部或整个机构内部或跨机构内部共享临时共享的“网格”计算池，这将为创建其他社区的类似网络基础设施铺平道路。