A Proposal for Investigating Multicube: A Large Scale, Multiprocessor Cache-Coherent Shared-Memory

研究 Multicube 的提案：大规模、多处理器缓存一致性共享内存

• 批准号: 8902766
• 负责人: James Goodman
• 金额: $ 27.45万
• 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: 1989
• 资助国家: 美国
• 起止时间: 1989-07-15 至 1992-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8902766&HistoricalAwards=false
• 关键词: Proposal; Investigating; Multicube; Large; Scale

Although there is much interest in shared memory multiprocessors, and there are now successful commercial products for multis, scaling to large numbers of powerful processors poses difficult problems. Most approaches either introduce geographical locality to the user or limit the notion of shared memory by supporting caches that may become inconsistent. Multicube is a recently proposed architecture that provides hardware-guaranteed cache consistency, introduces no geographical locality, and may scale to large numbers of processors. The goal of this research project is to study the Multicube approach to building scalable, large-scale shared-memory multiprocessors. The multicube architecture is based on shared buses, multilevel caches, and cache consistency protocols. A novel set of synchronization primitives has been proposed as an extension to the cache consistency protocol. The project encompasses the study of memory reference and synchronization behavior of existing parallel programs, scalability issues, bus implementation issues, the implications of clustering of processors, I/O, particularly swapping and virtual memory, and a variety of other architectural issues for the system.

虽然共享内存多处理器有很大的兴趣， 现在已经有了成功的多媒体商业产品，可以扩展到 大量强大的处理器带来了困难的问题。 最 这些方法要么向用户引入地理位置，要么限制用户的地理位置。 共享内存的概念，通过支持高速缓存， 前后矛盾 Multicube是最近提出的一种架构， 提供硬件保证的缓存一致性， 地理位置，并且可以扩展到大量处理器。 本研究项目的目标是研究多立方体方法， 构建可扩展的大规模共享内存多处理器。 多立方体体系结构基于共享总线、多级缓存， 和高速缓存一致性协议。 一组新的同步 原语已被提议作为对该高速缓存一致性的扩展 议定书 该项目包括对内存引用的研究， 现有并行程序的同步行为，可扩展性 问题，总线实施问题，集群的影响， 处理器、I/O，特别是交换和虚拟内存，以及 系统的各种其他体系结构问题。