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Some Aspects of Message-Passing on FutureHybrid Systems

机译:在FutureHybrid系统上传递消息的某些方面

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In the future, most systems in high-performance computing (HPC) will have a hierarchical hardware design, e.g., a cluster of ccNUMA or shared memory nodes with each node having several multi-core CPUs. Parallel programming must combine the distributed memory parallelization on the node inter-connect with the shared memory parallelization inside each node. There are many mismatch problems between hybrid hardware topology and the hybrid or homogeneous parallel programming models on such hardware. Hybrid programming with a combination of MPI and OpenMP is often slower than pure MPI programming. Major chances arise from the load balancing features of OpenMP and from a smaller memory footprint if the application duplicates some data on all MPI processes .
机译:将来,大多数高性能计算(HPC)系统将具有分层的硬件设计,例如ccNUMA群集或共享内存节点,每个节点具有多个多核CPU。并行编程必须将互连的节点上的分布式内存并行化与每个节点内部的共享内存并行化相结合。混合硬件拓扑与此类硬件上的混合或同类并行编程模型之间存在许多不匹配问题。结合使用MPI和OpenMP的混合编程通常比纯MPI编程要慢。如果应用程序在所有MPI进程上复制一些数据,则主要机会来自OpenMP的负载平衡功能以及较小的内存占用。

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