Efficient barrier using remote memory operations on VIA-based clusters

Rinku Gupta, V. Tipparaju, J. Nieplocha, D. Panda
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引用次数: 22

Abstract

Most high performance scientific applications require efficient support for collective communication. Point-to-point message-passing communication in current generation clusters are based on the Send/Recv communication model. Collective communication operations built on top of such point-to-point message-passing operations might achieve suboptimal performance. VIA and the emerging InfiniBand architecture support remote DMA operations, which allow data to be moved between the nodes with low overhead; they also allow to create and provide a logical shared memory address space across the nodes. In this paper we focus on barrier, a frequently-used collective operations. We demonstrate how RDMA write operations can be used to support an inter-node barrier in a cluster with SMP nodes. Combining this with a scheme to exploit shared memory within a SMP node, we develop a fast barrier algorithm for a cluster of SMP nodes with a cLAN VIA interconnect. Compared to current barrier algorithms using the Send/Recv communication model, the new approach is shown to reduce barrier latency on a 64 processor (32 dual nodes) system by up to 66%. These results demonstrate that high performance and scalable barrier implementations can be delivered on current and next generation VIA/Infiniband-based clusters with RDMA support.
在基于via的集群上使用远程内存操作的高效屏障
大多数高性能科学应用都需要有效的集体通信支持。当前代集群中的点对点消息传递通信基于Send/Recv通信模型。建立在这种点对点消息传递操作之上的集体通信操作可能会实现次优性能。VIA和新兴的InfiniBand架构支持远程DMA操作,允许数据以低开销在节点之间移动;它们还允许在节点间创建和提供逻辑共享内存地址空间。本文主要研究了一种常用的集体操作——屏障。我们将演示如何使用RDMA写操作来支持具有SMP节点的集群中的节点间屏障。结合利用SMP节点内共享内存的方案,我们为具有cLAN VIA互连的SMP节点集群开发了一种快速屏障算法。与目前使用Send/Recv通信模型的屏障算法相比,新方法可以将64处理器(32个双节点)系统上的屏障延迟减少66%。这些结果表明,高性能和可扩展的屏障实现可以在支持RDMA的当前和下一代基于VIA/ infiniband的集群上实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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