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Dodging Non-Uniform I/O Access in Hierarchical Collective Operations for Multicore Clusters

机译:躲避多核集群的分层集体操作中的非均匀I / O访问

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The increasing number of cores led to scalability issues in modern servers that were addressed by using non-uniform memory interconnects such as HyperTransport and QPI. These technologies reintroduced Non-Uniform Memory Access (NUMA) architectures. They are also responsible for Non-Uniform Input/Output Access (NUIOA), as I/O devices may be directly connected to a single processor, thus getting faster access to some cores and memory banks than to the others. In this paper, we propose to adapt MPI collective operations to NUIOA constraints. These operations are now often based on the combination of multiple strategies depending on the underlying cluster topology, with local leader processes being used as intermediate. Our strategy focuses on electing these leaders according to the locality of processes and network interfaces so as to give them privileged network access. We validate our approach on a hierarchical Broadcast operation which brings up to 25% throughput improvement between 64 processes.
机译:越来越多的核心导致了通过使用非统一内存互连(如HyperTransport和QPI)解决的现代服务器中的可扩展性问题。这些技术重新引入了非统一的内存访问(NUMA)架构。它们还负责非统一输入/输出访问(NUIOA),因为I / O设备可以直接连接到单个处理器,从而更快地访问某些核和内存库而不是其他内存库。在本文中,我们建议将MPI集体运营调整为NUIOA限制。这些操作通常基于多种策略的组合,具体取决于底层群集拓扑,本地领导程序被用作中间。我们的战略侧重于根据流程和网络接口的地方选举这些领导者,以便为他们提供特权网络访问。我们在分层广播操作上验证了我们的方法,在64个进程之间带来了高达25%的吞吐量改进。

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