Design space exploration of the dragonfly topology

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Abstract

We investigate possible options of creating a Dragonfly topology capable of accommodating a specified number of end-points. We first observe that any Dragonfly topology can be described with two main parameters, imbalance and density, dictating the distribution of routers in groups, and the inter-group connectivity, respectively. We then introduce an algorithm that generates a dragonfly topology by taking the desired number of end-points and these two parameters as input. We calculate a variety of metrics on the generated topologies resulting from a large set of parameter combinations. Based on these metrics, we isolate the subset of topologies that present the best economical and performance trade-off. We conclude by summarizing guidelines for Dragonfly topology design and dimensioning.

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Teh, M. Y., Wilke, J. J., Bergman, K., & Rumley, S. (2017). Design space exploration of the dragonfly topology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10524 LNCS, pp. 57–74). Springer Verlag. https://doi.org/10.1007/978-3-319-67630-2_5

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