NGS: Collaborative: Continuous Compilation: A New Approach to Aggressive and Adaptive Code Transformation

NGS：协作：持续编译：积极和自适应代码转换的新方法

• 批准号: 0203945
• 负责人: Mary Lou Soffa
• 金额: $ 15.98万
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-10-01 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0203945&HistoricalAwards=false
• 关键词: NGS; Collaborative; Continuous; Compilation; New

Title: Collaborative Research: Continuous Compilation: A New Approach to Aggressive and Adaptive Code Transformation Today's challenge for optimization research is to develop new techniques and approaches that yeild performance improvements that were typical of early optimization research-20 to 40 percent and more. In this research, we address this challenge by investigation and developing an innobative system or applying optimizations. Our system, the Continuous Compilation System (COCO), applies optimizations both statically at compile-time and dynamically at run-time using optimization plans developed at compile time and adapted at run time. To demonstrate the practicality and utility of our approach, initially we will apply COCO to several large, long-running applications. Examples of such applications include ecological simulations, weather simulation, architecture simulators, and VLSI routing and placement applications. As we gain insight and experience with the application of continuous compilation, we will investigate its effectiveness on other types of codes such as multimedia applications, signal processing applications, and web servers.

持续编译：一种新的主动和自适应代码转换方法 今天的优化研究的挑战是开发新的技术和方法，产生的性能改进是典型的早期优化研究-20至40%或更多。 在这项研究中，我们通过调查和开发一个创新的系统或应用优化来应对这一挑战。我们的系统，连续编译系统（COCO），适用于静态优化在编译时和动态在运行时使用优化计划在编译时开发，并在运行时适应。 为了证明我们的方法的实用性和实用性，我们首先将COCO应用于几个大型的，长期运行的应用程序。这种应用的例子包括生态模拟，天气模拟，架构模拟器，以及VLSI布线和布局应用。随着我们对连续编译应用的深入了解和经验的积累，我们将研究其在其他类型代码（如多媒体应用程序、信号处理应用程序和Web服务器）上的有效性。