SHF: Medium: Automatic Control Driven Resource Management in Chip Multiprocessors

SHF：中：芯片多处理器中自动控制驱动的资源管理

• 批准号: 0963839
• 负责人: Mahmut Kandemir
• 金额: $ 89.97万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-06-01 至 2015-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0963839&HistoricalAwards=false
• 关键词: SHF; Medium; Automatic; Control; Driven

Future computer architectures will execute critical applications ranging from climate modeling to bioinformatics to simulations of new materials. Emerging chip multiprocessors are novel architectures that provide high performance and low power consumption. When multiple applications share the same chip multiprocessor, proper management of architectural resources becomes a critical problem. This research targets inter-application management of different types of resources found in a chip multiprocessor using robust and resilient techniques drawn from formal feedback control theory. It enables applications to satisfy their performance requirements and, at the same time, maximizes the utilization of hardware resources. This research helps to make the transition from conventional architectures to chip multiprocessors smoother, and as a result, maximizes the number of critical applications that can take advantage of these emerging architectures. The transfer of the technology being developed to IBM and HP Labs allows serious testing of the proposed strategies in large-scale architectures built from chip multiprocessors. The results from this project not only present an accurate assessment of feedback control theory in a new domain, but also get integrated into two important software infrastructures, Singularity and Xen, both used extensively by large research communities. This research also accommodates two efforts in broadening participation, CISE Visit in Engineering Weekends (VIEW) and NASA-Aerospace Education Services Project (NASA-AESP) at the Center for Science and the Schools (CSATS).

未来的计算机体系结构将执行从气候建模到生物信息学到新材料的模拟等关键应用程序。新兴的芯片多处理器是提供高性能和低功耗的新型体系结构。当多个应用程序共享相同的芯片多处理器时，对建筑资源的正确管理将成为一个关键问题。这项研究针对芯片多处理器中不同类型的资源的应用间管理，使用从正式反馈控制理论中得出的强大和弹性技术。它使应用程序能够满足其性能要求，同时最大程度地利用了硬件资源。这项研究有助于使从传统体系结构过渡到芯片多处理器更加顺畅，因此，可以最大程度地提高可以利用这些新兴体系结构的关键应用程序的数量。正在开发给IBM和HP实验室的技术的转移允许对由ChIP多处理器构建的大规模架构中提出的策略进行认真测试。该项目的结果不仅介绍了一个新领域中反馈控制理论的准确评估，而且还将其集成到两个重要的软件基础架构，即奇异性和XEN中，两者都被大型研究社区广泛使用。这项研究还适应了扩大参与的两项努力，在科学与学校中心（CSATS）的CISE参观工程周末（VIEW）和NASA-AEROSPACE教育服务项目（NASA-AESP）。