NYI: High Performance Distributed Shared Memory Multicomputers

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，这些应用程序以更高的频率同步，（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。

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.