RIA: Automatic Design of Specialized Computer Instruction Sets

RIA：专用计算机指令集的自动设计

• 批准号: 9210692
• 负责人: Bruce Holmer
• 金额: $ 10万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-09-01 至 1996-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9210692&HistoricalAwards=false
• 关键词: RIA; Automatic; Design; Specialized; Computer

The goal of this research is to provide a methodology for the automatic construction of instruction sets for specialized application domains. Specialized, programmable computers are useful in situations where a general purpose computer may be too slow or expensive for the application. This research augments current high-level synthesis tools which derive a computer implementation when given an algorithm or instruction set as input. The proposed technique takes benchmarks and a description of the computer data path as input and produces as output the instruction set that best uses the data path to run the benchmarks. Topics of research include reducing the dependency of the results on the compiler used, determining an adequate number of benchmarks needed to produce an instruction set well-matched to the application domain, and investigating alternative methods of instruction set derivation. The proposed tool, when coupled with current high- level synthesis systems, can provide a complete design system for quickly mapping a specialized problem domain into a high performance processor. This allows the realization of computation accelerators for a broad class of disciplines, including real time event processing, digital signal processing, and computational chemistry, physics, and biology.

本研究的目的是提供一种方法， 专业化教学系统的自动构造 应用领域。 专门的可编程计算机 在通用计算机可能也 对于应用来说是缓慢或昂贵的。这项研究增加了 目前的高级综合工具， 当给定算法或指令集作为输入时，实现。 所提出的技术采用基准测试和对 计算机数据路径作为输入并产生指令作为输出 最佳使用数据路径来运行基准测试的集合。 议题 研究包括减少结果对 使用编译器，确定所需的足够数量的基准 以产生与应用程序良好匹配的指令集 域，并研究指令集的替代方法 推导 所提出的工具，当与电流高- 层次综合系统，可以提供一个完整的设计系统， 快速地将一个专门的问题域映射到一个高 性能处理器。 这允许实现计算 包括真实的时间在内的各种学科的加速器 事件处理、数字信号处理和计算 化学、物理和生物。