Route-aware independent MPI I/O on the blue gene/Q

Preeti Malakar, V. Vishwanath
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引用次数: 1

Abstract

Scalable high-performance I/O is crucial for application performance on large-scale systems. With the growing complexity of the system interconnects, it has become important to consider the impact of network contention on I/O performance because the I/O messages traverse several hops in the interconnect before reaching the I/O nodes or the file system. In this work, we present a route-aware and load-aware algorithm to modify existing bridge node assignment in the Blue Gene/Q (BG/Q) supercomputer. We reduce the network contention and reduce the write time by an average of 60% over the default independent I/O and by 20% over collective I/O on up to 8192 nodes on the Mira BG/Q system. Our algorithm routes 1.4x fewer messages through the bridge nodes which connect to the I/O nodes on the BG/Q.
蓝色基因/Q上的路由感知独立MPI I/O
可伸缩的高性能I/O对于大规模系统上的应用程序性能至关重要。随着系统互连的日益复杂,考虑网络争用对I/O性能的影响变得非常重要,因为I/O消息在到达I/O节点或文件系统之前要在互连中遍历几个跃点。在这项工作中,我们提出了一种路由感知和负载感知算法来修改蓝色基因/Q (BG/Q)超级计算机中现有的桥接节点分配。在Mira BG/Q系统的8192个节点上,我们减少了网络争用和写时间,比默认独立I/O平均减少了60%,比集体I/O平均减少了20%。我们的算法通过连接到BG/Q上的I/O节点的桥接节点路由的消息减少了1.4倍。
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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