Flexible, Seamless Optimization for High-Performance Processors

该项目研究为当前和未来的处理器生成高度优化的代码的算法的设计和实现。特别令人感兴趣的是嵌入式应用中使用的处理器。为了充分利用这类处理器的能力，编译器需要使用复杂的算法来执行寄存器分配、指令调度、全局数据流分析、数据相关性分析和特定于处理器的优化。这项研究调查了这些优化和其他优化是如何相互作用的，并利用这些知识开发和实现新的优化算法，这些算法无缝地运行并协作生成非常高质量的代码。研究的起点是现有的可重定向优化器，该优化器已用于为多种体系结构构建编译器，包括信号处理和实时系统中使用的通用体系结构和专用体系结构。它的组织结构特别适合于探索高性能处理器的协作优化算法的实现和评估。

This project investigates the design and implementation of algorithms for generating highly optimized code for current and future processors. Of particular interest are processors used in embedded applications. To fully exploit the power of this type of processor requires compilers that use sophisticated algorithms for performing register allocation, instruction scheduling, global data flow analysis, data dependency analysis, and processor-specific optimizations. This research investigates how these optimizations and others interact, and use this knowledge to develop and implement new optimization algorithms that operate seamlessly and cooperate to produce very high-quality code. The starting point for the research is an existing retargetable optimizer that has been used to build compilers for a wide array of architectures, including both general-purpose architectures and specialized architectures used in signal-processing and real-time systems. Its organization is particularly well-suited to exploring the implementation and evaluation of cooperative optimization algorithms for high-performance processors.