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Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 16-21, 2014

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Maximizing Throughput on a Dragonfly Network

SESSION: Networks


TIME: 4:00PM - 4:30PM


AUTHOR(S):Nikhil Jain, Abhinav Bhatele, Xiang Ni, Nicholas J. Wright, Laxmikant V. Kale



Interconnection networks are a critical resource for large supercomputers. The dragonfly topology, which provides a low network diameter and large bisection bandwidth, is being explored as a promising option for building multi-Petaflop/s and Exaflop/s systems. Unlike the extensively studied torus networks, the best choices of message routing and job placement strategies for the dragonfly topology are not well understood. This paper aims at analyzing the behavior of a machine built using a dragonfly network for various routing strategies, job placement policies, and application communication patterns. Our study is based on a novel model that predicts traffic on individual links for direct, indirect, and adaptive routing strategies. We analyze results for individual communication patterns and some common parallel job workloads. The predictions presented in this paper are for a 100+ Petaflop/s prototype machine with 92,160 high- radix routers and 8.8 million cores.

Chair/Author Details:

Kelly Shaw (Chair) - University of Richmond

Nikhil Jain - University of Illinois at Urbana-Champaign

Abhinav Bhatele - Lawrence Livermore National Laboratory

Xiang Ni - University of Illinois at Urbana-Champaign

Nicholas J. Wright - Lawrence Berkeley National Laboratory

Laxmikant V. Kale - University of Illinois at Urbana-Champaign

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society