Shared Virtual Memory Systems for Large-Scale Multiprocessors

用于大规模多处理器的共享虚拟内存系统

• 批准号: 8814265
• 负责人: Kai Li
• 金额: $ 12.73万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-09-01 至 1990-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8814265&HistoricalAwards=false
• 关键词: Shared; Virtual; Memory; Systems; Large

Many MIMD message-passing multiprocessors are large-scale, but the programming environment based on message-passing and the limited memory on each node preclude many applications. Shared-memory multiprocessors do not have these restrictions, but it is very difficult to build large-scale ones. This research is to investigate the methods of building shared virtual memory systems on large-scale multiprocessors without shared memory, allowing parallel programs based on shared- memory model to run on these large-scale multiprocessors. The research provides the framework upon which to implement systems and programming languages based on shared-memory model that effectively harness the resources of large-scale stock multiprocessors.

许多MIMD消息通话的多处理器都是大规模的，但是基于消息通话的编程环境和每个节点上的有限内存都排除了许多应用程序。 共享的内存多处理器没有这些限制，但是建立大规模的限制非常困难。 这项研究是为了研究在没有共享内存的大规模多处理器上构建共享虚拟内存系统的方法，从而允许基于共享内存模型的并行程序在这些大型多处理器上运行。 该研究提供了一个基于共享记忆模型实施系统和编程语言的框架，该模型有效地利用了大规模股票多处理器的资源。