Compilers as Cartographers and Architectures as Navigators

这项研究将探索体系结构可以使用哪些高级信息，以及编译器可以提供哪些高级信息来利用、预测和响应程序行为。编译器将以聚合形式或使用新的高级指令向体系结构提供控制和数据依赖信息，并且体系结构将用运行时信息进一步增强该信息以提高性能。为了利用这些信息，本研究还将探索新的体系结构功能、灵活性、缓存策略等。本研究还将探索使用符号数据卷和使用运行时值参数化的重用距离，体系结构将决定策略；预取、流或缓存的数据量和缓存以及使用哪些替换策略。这项调查将使用比例尺编译系统来生成程序“路线图”，并将使用模拟来探索使用地图导航的高级架构功能。这项研究的好处将是通过编译器信息和新的体系结构机制的协同作用，显著提高科学和下一代软件的性能。

This research will explore which high-level information the architecture can use and the compiler can provide to exploit, predict, and react to program behavior. The compiler will give the architecture control- and data-dependence information in aggregate forms or using new high-level instructions and the architecture will further augment this information with run-time information to improve perfor-mance. To exploit this information, this research will also explore new architectural functionality, flexibility, caching policies, etc.This research will also explore using symbolic data volumes and reuse distances parameter-ized with run-time values, and the architecture will decide the policies; how much and which data to prefetch, stream, or cache and with which replacement policies. This investigation will use the Scale compilation system to produce program "road maps," and will use simulation to explore advanced architecture features that employ navigation of the maps. The benefit of this research will be to sig-nificantly improve scientific and next generation software performance through a synergy of compiler information and new architectural mechanisms.