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Collaborative Coherence: Streamlining Shared Memory Performance

协作一致性：简化共享内存性能

基本信息

批准号：
0429854
负责人：
Mikko Lipasti
金额：
$ 17.5万
依托单位：
University of Wisconsin-Madison
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2004
资助国家：
美国
起止时间：
2004-09-01 至 2007-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0429854&HistoricalAwards=false
关键词：
Collaborative Coherence Streamlining Shared Memory

项目摘要

Collaborative Coherence: Streamlining Shared Memory PerformanceAbstractThe proposed research investigates collaborative coherence, a novel approach for building high-performance shared-memory multiprocessors. In this approach local cache memories collaborate to minimize the occurrence and detrimental performance effects of costly off-chip communication due to permission and data requests. Several problematic behaviors in conventional multiprocessors can be avoided or mitigated by exploiting global knowledge about sharing and reference patterns. This research will result in a deeper understanding of the interactions between processors in shared-memory multiprocessors, and will lead to system designs that have dramatically higher performance and lower power consumption, but are simple, intuitive, and easy to design.The research will have a broad impact on the computer architecture community as a whole, by its development of representative commercial workloads, realization of state-of-the-art simulation infrastructure, and invention of powerful and useful evaluation methodologies. The techniques and methods created will be applied towards the development of increasingly powerful and ubiquitous computing devices whose utility will have a substantial impact on the productivity and creativity of countless end users.2006

协作一致性：精简共享内存性能AbstractThe建议的研究探讨协作一致性，一种新的方法，用于构建高性能的共享内存多处理器。在这种方法中，本地高速缓存存储器协作以最小化由于许可和数据请求而导致的昂贵的片外通信的发生和有害的性能影响。传统多处理器中的一些问题行为可以通过利用关于共享和引用模式的全局知识来避免或减轻。这项研究将导致对共享内存多处理器中处理器之间交互的更深入理解，并将导致具有显着更高性能和更低功耗的系统设计，但简单，直观，易于设计。这项研究将对整个计算机体系结构社区产生广泛的影响，通过其代表性的商业工作负载的开发，实现最先进的仿真基础设施，并发明强大而有用的评估方法。所创造的技术和方法将被应用于日益强大和无处不在的计算设备的开发，其实用性将对无数最终用户的生产力和创造力产生重大影响。2006