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High-radix, low-diameter, hierarchical networks based on the Dragonfly topology are common picks for building next generation HPC systems. However, effective tools are lacking for analyzing the network performance and exploring the design choices for such emerging networks at scale. In this paper, we present visual analytics methods that couple data aggregation techniques with interactive visualizations...
HPC systems have shifted to burst buffer storage and high radix interconnect topologies in order to meet the challenges of large-scale, data-intensive scientific computing. Both of these technologies have been studied in detail independently, but the interaction between them is not well understood. I/O traffic and communication traffic from concurrently scheduled applications may interfere with each...
Among the low-diameter, high-radix networks beingdeployed in next-generation HPC systems, dual-rail fat-treenetworks are a promising approach. Adding additional injectionconnections (rails) to one or more network planes allows multirailfat-tree networks to alleviate communication bottlenecks. These multi-rail networks necessitate new design considerations, such as routing choices, job placements,...
Two-tiered direct network topologies such as Dragonflies have been proposed for future post-petascale and exascale machines, since they provide a high-radix, low-diameter, fast interconnection network. Such topologies call for redesigningMPI collective communication algorithms in order to attain the best performance. Yet as increasingly more applications share a machine, it is not clear how these...
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