Program and storage transformations for improving memory performance

现代处理器上程序的性能主要取决于它们的存储器访问特性如何与这些处理器架构中常用的多级存储器层次结构相匹配。这个项目的目标是推导编译器转换来提高科学计算的内存性能。特别是，程序重构和数据的内存布局转换的组合将被派生出来，以处理比完美的巢和常规的内存访问更大的编程结构类。该项目将研究几个重要问题，包括：(a)整合平铺和数据束缚的策略，以便有效地协调数据通过内存层次结构的移动；（二）为规则及不规则代码设计精巧的位置增强编译器的问题；(c)对地点增强转换的广泛实验评估；(d)关于利用指令级并行性和寄存器级重用的技术之间的相互作用的见解；(e)改进应用程序内存系统设计的可能见解，包括设计特定于应用程序的缓存架构。最重要的是，这些编译器技术将允许用户轻松地利用现代处理器体系结构中的巨大计算能力。

Jagannathan Ramanujam, Louisiana State UniversityThe performance of programs on modern processors depends critically onhow their memory access characteristics can be matched to themulti-level memory hierarchy commonly used in these processorarchitectures. The goal of this project is derive compilertransformations to improve the memory performance of scientificcomputations. In particular, a combination of program restructuringand memory layout transformations of data will be derived to handle alarger class of programming constructs than perfect nests and regularmemory accesses. This project will study several important problems,including: (a) strategies to integrate tiling and data shackling inorder to effectively orchestrate the movement of data through memoryhierarchies; (b) issues in the design of a sophisticatedlocality-enhancing compiler for regular and irregular codes; (c)extensive experimental evaluation of locality-enhancingtransformations; (d) insights on the interaction between techniquesfor exploiting instruction-level parallelism and register-level reuse;and (e) possible insights on improvements in the design of memorysystems for applications, including the design of application-specificcache architectures. Most importantly, these compiler techniques willallow users to easily exploit the enormous computation power in modernprocessor architectures.