Shared Memory Programming in Metacomputing Environments: The Global Array Approach

The performance of the Global Array shared-memory nonuniform memory-access programming model is explored in a wide-area-network (WAN) distributed supercomputer environment. The Global Array model is extended by introducing a concept of mirrored arrays that thanks to the caching and user-controlled consistency of the shared data structure scan reduce the application sensitivity to the network latency. Latencies and bandwidths for remote memory access are studied, and the performance of a large application from computational chemistry is evaluated using both fully distributed and also mirrored arrays. Excellent performance can be obtained with mirroring if even modest (0.5 MB/s) network bandwidth is available.     

WAPM:适合广域分布式计算的并行编程模型

早期的MPI与OpenMP等编程模型由于扩展性限制或并行粒度的差异而不适合于大规模的广域动态Internet环境.提出了一个用于广域网络范围内的并行编程模型(WAPM),为应用的分布式计算的编程提供了一个新的可行解决方案.WAPM由通信库、通信协议和应用编程接口组成,并且具有通用编程、自适应并行、容错性等特点,通过选择合适的编程语言,就可形成一个广域范围内的并行程序设计环境.以分布式计算平台P2HP为工作平台,描述了WAPM分布式计算的实施过程.实验结果表明,WAPM是一个通用的、可行的、性能较好的编程模型.