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Some Aspects of Message-Passing on FutureHybrid Systems

机译:在Futurehybrid系统上传递消息传递的一些方面

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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:在未来,大多数高性能计算(HPC)系统将具有分层硬件设计,例如CCNUMA或共享内存节点的每个节点,具有多个多核CPU的每个节点。并行编程必须将节点上的分布式内存并行化与每个节点内的共享内存并行化相互连接。混合硬件拓扑和混合或同质并行编程模型之间存在许多不匹配问题。具有MPI和OpenMP组合的混合编程通常比纯MPI编程慢。如果应用程序在所有MPI进程上重复某些数据,则从OpenMP的负载平衡功能以及较小的内存占用功能出现主要机会。

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