Understanding and Improving Memory System Performance via a New Approach to Cache Analysis and Access Ordering

摘要标题：通过一种新的缓存分析和访问排序方法来理解和提高内存系统性能PI：Sally McKee，犹他大学微处理器速度的增长速度比内存系统速度快得多：两条速度增长曲线都是指数型的，但它们代表着不同的指数。这项拟议的研究努力开发一种全面的方法，通过开发更好的性能指标，更好的工具来观察内存系统的行为和理解内存使用模式，本研究的第一个组成部分是研究如何更好地测量和解释该高速缓存中的复杂系统行为的方法和工具和内存层次结构。PI和其他人正在开发一个新的框架来分析缓存系统;这个新的“缓存过滤器”框架专注于内存跟踪的属性，而不是特定内存组织的工件。这项研究将支持的工具和技术的发展所需的新框架应用到真实的问题和system.The第二个组成部分，本研究调查相结合的编译器和架构的方法，以提高内存系统的性能，在现代微处理器通过更智能的调度内存活动和硬件支持流。

ABSTRACTTitle: Understanding and Improving Memory System Performance via a New Approach to Cache Analysis and Access orderingPI: Sally McKee, University of UtahMicroprocessor speed is increasing much faster than memory system speed: both speed-growth curves are exponential, but they represent diverging exponentials. This proposed research strives to develop a comprehensive approach to bridging the processor/memory performance gap by developing better measures of performance, better tools for observing memory system behavior and understanding memory usage patterns, and combined compiler and architectural schemes to exploit these patterns.The first component of this research investigates methods and tools by which to better measure and interpret complex system behavior in the cache and memory hierarchy. The PI and others are developing a new framework for the analysis of caching systems; this new "caches as filters" framework focuses on properties of a memory trace rather than artifacts of a particular memory organization. This research will support the development of the tools and technology necessary to apply the new framework to real problems and systems.The second component of this research investigates combined compiler and architectural approaches to improving memory system performance in modern microprocessors via smarter scheduling of memory activity and hardware support for streaming.