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

杰克·W戴维森伊利诺伊理工学院合作研究：持续编译：一种新的侵略性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创新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，我们首先将把CoCo应用到几个大型的、长时间运行的应用程序中。 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。

Jack W. Davidson Illinois Institute of Technology 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 yield 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 innovative 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.