Performance of cluster-enabled OpenMP for the SCASH software distributed shared memory system

Y. Ojima, M. Sato, H. Harada, Y. Ishikawa
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引用次数: 23

Abstract

OpenMP has attracted widespread interest because it is an easy-to-use parallel programming model for shared memory multiprocessor systems. Implementation of a "cluster-enabled" OpenMP compiler is presented. Compiled programs are linked to the page-based software distributed-shared-memory system, SCASH, which runs on PC clusters. This allows OpenMP programs to be run transparently in a distributed memory environment. The compiler converts programs written for OpenMP into parallel programs using the SCASH static library, moving all shared global variables into SCASH shared address space at runtime. As data mapping has a great impact on the performance of OpenMP programs compiled for software distributed-shared-memory, extensions to OpenMP directives are defined for specifying data mapping and loop scheduling behavior, allowing data to be allocated to the node where it is to be processed. Experimental results of benchmark programs on PC clusters using both Myrinet and fast Ethernet are reported.
在SCASH软件分布式共享内存系统中启用集群的OpenMP性能
OpenMP吸引了广泛的兴趣,因为它是一个易于使用的共享内存多处理器系统并行编程模型。介绍了一个“集群启用”的OpenMP编译器的实现。编译后的程序链接到基于页面的软件分布式共享内存系统(SCASH),该系统在PC集群上运行。这允许OpenMP程序在分布式内存环境中透明地运行。编译器使用SCASH静态库将为OpenMP编写的程序转换为并行程序,在运行时将所有共享全局变量移动到SCASH共享地址空间中。由于数据映射对为软件分布式共享内存编译的OpenMP程序的性能有很大影响,因此定义了OpenMP指令的扩展,以指定数据映射和循环调度行为,从而允许将数据分配到要处理数据的节点。本文报道了在PC集群上使用Myrinet和快速以太网测试程序的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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