English

SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks

Networking and Internet Architecture 2022-02-16 v2 Hardware Architecture Distributed, Parallel, and Cluster Computing Discrete Mathematics

Abstract

In recent years, graph theoretic considerations have become increasingly important in the design of HPC interconnection topologies. One approach is to seek optimal or near-optimal families of graphs with respect to a particular graph theoretic property, such as diameter. In this work, we consider topologies which optimize the spectral gap. We study a novel HPC topology, SpectralFly, designed around the Ramanujan graph construction of Lubotzky, Phillips, and Sarnak (LPS). We show combinatorial properties, such as diameter, bisection bandwidth, average path length, and resilience to link failure, of SpectralFly topologies are better than, or comparable to, similarly constrained DragonFly, SlimFly, and BundleFly topologies. Additionally, we simulate the performance of SpectralFly on a representative sample of micro-benchmarks using the Structure Simulation Toolkit Macroscale Element Library simulator and study cost-minimizing layouts, demonstrating considerable benefit of the SpectralFly topology.

Keywords

Cite

@article{arxiv.2104.11725,
  title  = {SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks},
  author = {Stephen Young and Sinan Aksoy and Jesun Firoz and Roberto Gioiosa and Tobias Hagge and Mark Kempton and Juan Escobedo and Mark Raugas},
  journal= {arXiv preprint arXiv:2104.11725},
  year   = {2022}
}
R2 v1 2026-06-24T01:28:12.679Z