Investigation of Large-Scale, Cache-Coherent Shared-Memory Multiprocessing

大规模缓存一致性共享内存多重处理的研究

• 批准号: 9207971
• 负责人: James Goodman
• 金额: $ 37.13万
• 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: 1992
• 资助国家: 美国
• 起止时间: 1992-10-01 至 1995-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9207971&HistoricalAwards=false
• 关键词: Investigation; Large; Scale; Cache; Coherent

This research builds on previous studies of shared-memory multiprocessors by using the IEEE proposed Scalable Coherent Interface as a research platform. Multiprocessor issues are studied both at the logical level and the cache coherence level. Important problems at the logical level include study of the performance of a single SCI ring as well as multiple rings, the properties of pipelined networks, and appropriate topologies for connecting simple rings together to create large-scale systems. Important problems at the cache coherence level include enhancements to the shared-memory model to provide for efficient synchronization, extensions to the SCI coherence protocol and the benefit of relaxing event ordering constraints in the memory system.

这项研究建立在以前对共享记忆的研究基础上 多处理器，使用IEEE提出的可伸缩相干 界面作为研究平台。 多处理器问题是 从逻辑层次和该高速缓存一致性两个方面进行了研究 水平 逻辑层面的重要问题包括研究 单个SCI环以及多个 环，流水线网络的属性，以及适当的 拓扑，用于将简单环连接在一起， 大型系统。 该高速缓存的重要问题 一致性级别包括对共享存储器的增强 模型来提供有效的同步，扩展到 SCI一致性协议和放松事件的好处 存储器系统中的排序约束。