NYI: High Performance Distributed Shared Memory Multicomputers

NYI：高性能分布式共享内存多计算机

• 批准号: 9457770
• 负责人: Alan Cox
• 金额: $ 31.25万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-09-15 至 2001-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9457770&HistoricalAwards=false
• 关键词: NYI; Performance; Distributed; Shared; Memory

The goal of this research is to make parallel computing simple and efficient on general-purpose, commodity processors and networks. Recent work has focused on algorithms for the efficient implementation of software distributed shared memory (DSM) on low-cost, high-performance workstation clusters. This work has shown that software DSM can achieve performance close to a hardware implementation of shared memory on a variety of scientific applications that synchronize with moderate frequency. The objective is to improve this work in two ways; (1) to achieve the efficient execution of applications that synchronize with greater frequency and, (2) to support languages ordinarily used to solve symbolic problems. Specifically, the following approaches are evaluated: (a) run-time support for programming high-level synchronization operations, such as task queues, that reduces the amount of communication by the DSM system, (b) compiler support to reduce the amount and/or hide the latency of communication by the DSM system, and (c) garbage collection algorithms integrated with the DSM system to enable the efficient execution of advanced programming languages.

本研究的目标是使并行计算简单而有效的通用，商品处理器和网络。 最近的工作集中在算法上的低成本，高性能的工作站集群的软件分布式共享内存（DSM）的有效实施。 这项工作表明，软件DSM可以实现性能接近硬件实现的共享内存的各种科学应用程序，同步与中等频率。 我们的目标是从两个方面改进这项工作：（1）实现应用程序的高效执行，以更高的频率同步，（2）支持通常用于解决符号问题的语言。 具体而言，评价了以下方法：（a）用于编程高级同步操作（例如任务队列）的运行时支持，其减少DSM系统的通信量，（B）编译器支持，以减少DSM系统的通信量和/或隐藏DSM系统的通信等待时间，以及（c）与DSM系统集成的垃圾收集算法，以使高级编程语言能够有效执行。