Tools for Exploring Low-power, High-performance Reconfigurable Computing Architectures

用于探索低功耗、高性能可重构计算架构的工具

• 批准号: 0702621
• 负责人: Carl Ebeling
• 金额: --
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0702621&HistoricalAwards=false
• 关键词: Tools; Exploring; Low; power; performance

Proposal ID: 0702621PI Institution: University of Washington, SeattlePI name: Cark EbelingTitle: Tools for Exploring Low-power, High-performance Reconfigurable Computing ArchitecturesAbstract:Creating high-performance, low-power systems for embedded communications, media and signal-processing applications in future nanoscale technologies will require new parallel computing architectures that can be reconfigured on-the-fly to match the structure of the application. Computing infrastructures based on these coarse-grained reconfigurable platforms will be better able to meet the future performance and power demands of embedded applications than traditional processor-based architectures.The potential design space of these large-scale coarse-grained reconfigurable computing architectures is enormous, and efficient, architecture-independent tools will be needed to quickly explore and evaluate the different points in this space for different applications and application domains. This research project will develop architecture-independent tools that map the intermediate representations of algorithms produced by compilers to coarse-grained reconfigurable architectures comprising a wide range of architectural features. These tools will rely on integrating scheduling, placement and routing algorithms to perform this mapping. They will enable the fast exploration of the overall space of large-scale coarse-grained reconfigurable architectures, as well as the impact of specific architectural features and structures.

Proposal ID: 0702621PI Institution: University of Washington, SeattlePI name: Cark EbelingTitle: Tools for Exploring Low-power, High-performance Reconfigurable Computing ArchitecturesAbstract:Creating high-performance, low-power systems for embedded communications, media and signal-processing applications in future nanoscale technologies will require new parallel computing architectures that can be reconfigured即时匹配应用程序的结构。 与传统的基于处理器的架构相比，基于这些粗粒的重新配置平台的计算基础架构将能够更好地满足嵌入式应用程序的未来性能和功率需求。这些大规模的粗粒子可重新配置的计算体系结构的潜在设计空间是巨大的，有效的，无关紧要的应用程序和依赖性的应用程序，可以在此方面进行多样化的空间，并在此方面进行了不同的应用程序。 该研究项目将开发与建筑无关的工具，该工具绘制编译器生成的算法的中间表示形式，以构成包括广泛的建筑特征的粗粒度可重构体系结构。 这些工具将依靠集成计划，放置和路由算法来执行此映射。 他们将对大规模粗粒式可重构体系结构的整体空间进行快速探索，以及特定的建筑特征和结构的影响。