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A hierarchical distributed-shared memory parallel Branch&Bound application with PVM and OpenMP for multiprocessor clusters

机译:具有PVM和OpenMP的分层分布式共享内存并行Branch&Bound应用程序,用于多处理器集群

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摘要

Branch&Bound (B&B) is a technique widely used to solve combinatorial optimization problems in physics and engineering science. In this paper we show how the combined use of PVM and OpenMP libraries can be a promising approach to exploit the intrinsic parallel nature of this class of application and to obtain efficient code for hybrid computational architectures. We described how both the shared memory and the distributed memory programming models can be applied to implement the same algorithm for the inter-nodes and intra-node parallelization. Some experimental tests on a local area network (LAN) of workstations are finally discussed.
机译:Branch&Bound(B&B)是一种广泛用于解决物理和工程科学中组合优化问题的技术。在本文中,我们展示了如何结合使用PVM和OpenMP库是一种有前途的方法,可以利用此类应用程序的内在并行特性并获得用于混合计算体系结构的有效代码。我们描述了如何将共享内存和分布式内存编程模型应用于节点间和节点内并行化的相同算法。最后讨论了工作站局域网(LAN)上的一些实验测试。

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