Program and storage transformations for improving memory performance

用于提高内存性能的程序和存储转换

• 批准号: 0073800
• 负责人: Jagannathan Ramanujam
• 金额: $ 12.03万
• 依托单位: Louisiana State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0073800&HistoricalAwards=false
• 关键词: Program; storage; transformations; improving; memory

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.

Jagannathan Ramanujam，路易斯安那州立大学现代处理器上的程序性能主要取决于它们的内存访问特性如何与这些处理器体系结构中常用的多级内存层次结构相匹配。 该项目的目标是导出编译器转换以提高科学计算的内存性能。特别是，将导出程序重组和数据的存储器布局转换的组合，以处理比完美嵌套和常规存储器访问更大的编程结构。该项目将研究几个重要问题，包括：（a）集成平铺和数据束缚的策略，以便通过内存层次结构有效地协调数据移动； (b) 针对规则和非规则代码设计复杂的局部性增强编译器的问题； (c) 对局部性增强转型进行广泛的实验评估； (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) 关于应用程序存储器系统设计改进的可能见解，包括特定于应用程序的缓存架构的设计。 最重要的是，这些编译器技术将允许用户轻松利用现代处理器架构中的巨大计算能力。