CSR:Small:Efficient and Predictable Memory Hierarchies for High-Performance Embedded Systems

CSR：小型：高性能嵌入式系统的高效且可预测的内存层次结构

• 批准号: 0915503
• 负责人: Yan Solihin
• 金额: $ 44.97万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0915503&HistoricalAwards=false
• 关键词: CSR; Small; Efficient; Predictable; Memory; CSR; Small; Efficient; Predictable; Memory

0915503CSR:Small:Efficient and Predictable Memory Hierarchies for High-Performance Embedded SystemsAbstractHigh-end embedded systems are increasingly used for complex computation, such as advanced image processing and speech processing. Such complex tasks often involve irregular data structures such as linked data structures, or exhibit irregular access patterns even with regular data structures. Managing scratchpad memory for such tasks becomes increasingly challenging due to the difficulty of determining addresses that will be accessed in the future. For such complex applications, hardware-managed storage (caches) can perform relatively well without much programming effort. However,caches do not offer predictability required to derive a tight worst case execution time (WCET) bound in real-time systems, due to their dynamic behavior that is difficult to predict at compile time. The goal of the project is to explore a new intelligent real-time cache, which offers ease of storage management as well as allows programs to control caching behavior with low overheads, providing predictability that supports real time analysis. The work consists of: (1) Instruction and architecture support that provides primitives to control cache behavior with low overheads, (2)Development compile-time analysis and run-time support to support the new cache, and (3)Proof-of-concept of the proposed system. Improved memory performance and predictability will be to make computer systems more efficient, enable more challenging problems to be solved, and improve energy-efficiency of existing applications. This project will also extend outreach to undergraduate and high-school students about the value of engineering to society and attract more students into the field. It will also benefit the public by disseminating research results through publications and tool releases.

0915503CSR：较小：高性能嵌入式系统Abstracthigh-End嵌入式系统的高效且可预测的内存层次结构越来越多地用于复杂的计算，例如高级图像处理和语音处理。这种复杂的任务通常涉及不规则的数据结构，例如链接的数据结构，或者即使使用常规数据结构也表现出不规则的访问模式。由于难以确定将来会访问的地址，因此管理SCRATCHPAD内存变得越来越具有挑战性。 对于此类复杂的应用程序，无需太多编程工作就可以相对较好地表现硬件管理的存储（CACHE）。但是，由于其动态行为在编译时很难预测，因此缓存没有提供在实时系统中绑定的紧密最坏情况执行时间（WCET）所需的可预测性。该项目的目的是探索一个新的智能实时缓存，该缓存易于存储管理，并允许程序控制使用低开销的缓存行为，提供支持实时分析的可预测性。该作品包括：（1）提供原始的指导和体系结构支持，以控制低间接费用的缓存行为，（2）开发编译时间分析和运行时支持以支持新的缓存，以及（3）对拟议系统的概念证明。提高的内存性能和可预测性将是使计算机系统更有效，可以解决更具挑战性的问题，并提高现有应用程序的能源效率。该项目还将扩展到本科生和高中生关于工程对社会的价值，并吸引更多学生进入该领域的学生。它还通过通过出版和工具发行来传播研究结果来使公众受益。