RIA: An Architecture and Compiler for Adaptive Computing

RIA：自适应计算的架构和编译器

• 批准号: 9308390
• 负责人: Peter Athanas
• 金额: $ 9.92万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-06-01 至 1996-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9308390&HistoricalAwards=false
• 关键词: RIA; Architecture; Compiler; Adaptive; Computing

Athanas A new processing platform and high-level compiler are being developed that will significantly improve program execution times. Typical computationally intensive programs tend to spend nearly all of their execution time within a small fraction of the compiled executable code. Efforts to improve the performance of these tasks are best rewarded when focused on these frequently accessed portions. The new hardware and software will allow the configuration and fundamental operations of a core processing platform to adapt to the computationally intensive portions of a targeted application. The high-level language compiler is responsible for identifying the computationally dominant portions of an application, and for synthesizing hardware structures that can be dynamically loaded into the processing platform for subsequent execution. A general-purpose platform embracing these principles can reap the performance benefits of application- specific processors, and also retain a general purpose nature by accommodating a wide variety of tasks. Furthermore, computer architectures that adopt these techniques may become a cost- effective alternative to conventional high-performance computing platforms.

阿塔纳斯 一个新的处理平台和高级编译器正在开发中，这将大大改善程序的执行时间。 典型的计算密集型程序倾向于将其几乎所有的执行时间花费在编译的可执行代码的一小部分内。 当专注于这些频繁访问的部分时，改善这些任务性能的努力得到了最好的回报。 新的硬件和软件将允许核心处理平台的配置和基本操作适应目标应用程序的计算密集型部分。 高级语言编译器负责识别应用程序的计算主导部分，并负责合成可以动态加载到处理平台中以供后续执行的硬件结构。 包含这些原理的通用平台可以获得专用处理器的性能益处，并且还通过适应各种各样的任务来保持通用性质。 此外，采用这些技术的计算机架构可以成为传统高性能计算平台的成本有效的替代方案。