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Communication and Optimization Aspects on Hybrid Architectures

机译:混合架构的通信和优化方面

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Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distributed memory paralleliza-tion on the node inter-connect with the shared memory parallelization inside of each node. The hybrid MPI+OpenMP programming model is compared with pure MPI and compiler based parallelization. The paper focuses on bandwidth and latency aspects, but also whether programming paradigms can separate the optimization of communication and computation. Benchmark results are presented for hybrid and pure MPI communication.
机译:大多数HPC系统是共享内存节点的群集。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。将混合MPI + OpenMP编程模型与纯MPI和基于编译器的并行化进行了比较。本文关注带宽和延迟方面,还关注编程范例是否可以将通信和计算的优化分开。给出了混合和纯MPI通信的基准测试结果。

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