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.

提案ID：0702621PI机构：华盛顿大学西雅图PI名称：Cark Ebeling标题：用于探索低功耗、高性能可重构计算架构的工具摘要：在未来纳米级技术中为嵌入式通信、媒体和信号处理应用程序创建高性能、低功耗系统将需要新的并行计算架构，该架构可以动态重新配置以匹配应用程序的结构。基于这些粗粒度可重构平台的计算基础设施将比传统的基于处理器的架构更能满足嵌入式应用未来的性能和能力需求，这些大规模的粗粒度可重构计算架构的潜在设计空间是巨大的，需要高效的、与架构无关的工具来快速探索和评估该空间中不同应用和应用领域的不同点。这个研究项目将开发独立于体系结构的工具，将编译器产生的算法的中间表示映射到包含广泛体系结构特征的粗粒度可重构体系结构。这些工具将依赖于集成调度、布局和布线算法来执行这种映射。它们将使人们能够快速探索大规模粗粒度可重构建筑的整体空间，以及特定建筑特征和结构的影响。