NYI: High Performance Distributed Shared Memory Multicomputers

这项研究的目标是在通用、商用处理器和网络上使并行计算变得简单和高效。最近的工作集中于在低成本、高性能的工作站集群上高效实现软件分布式共享存储器(DSM)的算法。这项工作表明，软件DSM可以在各种以中等频率同步的科学应用程序上实现接近于硬件实现的共享内存的性能。目标是通过两种方式改进这项工作：(1)实现以更高频率同步的应用程序的有效执行；(2)支持通常用于解决符号问题的语言。具体地说，评估了以下方法：(A)对诸如任务队列的高级同步操作进行编程的运行时支持，其减少了DSM系统的通信量；(B)编译器支持，以减少DSM系统的通信量和/或隐藏通信的等待时间；以及(C)与DSM系统集成的垃圾收集算法，以使得能够有效地执行高级编程语言。

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.