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PolarStar: Expanding the Scalability Horizon of Diameter-3 Networks

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abstract

We present PolarStar, a novel family of diameter-3 network topologies derived from the star product of low-diameter factor graphs. PolarStar gives the largest known diameter-3 network topologies for almost all radixes, thus providing the best known scalable diameter-$3$ network. Compared to current state-of-the-art diameter-$3$ networks, PolarStar achieves $1.3\times$ geometric mean increase in scale over Bundlefly, $1.9\times$ over Dragonfly, and $6.7\times$ over {3-D} HyperX. PolarStar has many other desirable properties, including a modular layout, large bisection, high resilience to link failures and a large number of feasible configurations for every radix. We give a detailed evaluation with simulations of synthetic and real-world traffic patterns and show that PolarStar exhibits comparable or better performance than current diameter-3 networks.

fields

cs.DC 1

years

2025 1

verdicts

REJECT 1

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  • How Fast Can Graph Computations Go on Fine-grained Parallel Architectures cs.DC · 2025-07-01 · reject · none · ref 54 · internal anchor

    Simulations and fitted analytical models project that the UpDown fine-grained architecture could reach roughly 500K to 1M GTEPS for PageRank and BFS at graph scale 40, but the abstract's specific 637K PR figure does not appear in the body.