Principles and Practices of Interconnection Networks
Principles and Practices of Interconnection Networks
Technology-Driven, Highly-Scalable Dragonfly Topology
ISCA '08 Proceedings of the 35th Annual International Symposium on Computer Architecture
Avoiding hot-spots on two-level direct networks
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
On-the-Fly Adaptive Routing in High-Radix Hierarchical Networks
ICPP '12 Proceedings of the 2012 41st International Conference on Parallel Processing
Performance implications of remote-only load balancing under adversarial traffic in Dragonflies
Proceedings of the 8th International Workshop on Interconnection Network Architecture: On-Chip, Multi-Chip
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Dragonflies are one of the most promising topologies for the Exascale effort for their scalability and cost. Dragonflies achieve very high throughput under uniform traffic, but have a pathological behavior under other regular traffic patterns, some of them very common in HPC applications. A recent study showed that randomization of task placement can make pathological, regular (multi-dimensional stencil) traffic patterns behave similar to uniform traffic. In this work we provide a theoretical model that is able to predict the expected performance of a generic dragonfly network under uniform traffic and characterize performance-optimal dragonflies. We then analyze whether this model can be extended to other patterns by means of benchmarking the performance of multiple such patterns under both contiguous and randomized task placement. We conclude that, although in comparison with contiguous task placement, randomization does lead to a significant improvement in performance for pathological communication patterns, this performance is not on par with that of uniform traffic, but rather half of it.