Sparse Hamming Graph: A Customizable Network-on-Chip Topology
Patrick Iff, Maciej Besta, Matheus A. Cavalcante, Tim Fischer, Luca Benini, Torsten Hoefler
Abstract
Chips with hundreds to thousands of cores require scalable networks-on-chip (NoCs). Customization of the NoC topology is necessary to reach the diverse design goals of different chips. We introduce sparse Hamming graph, a novel NoC topology with an adjustable cost-performance trade-off that is based on four NoC topology design principles we identified. To efficiently customize this topology, we develop a toolchain that leverages approximate floorplanning and link routing to deliver fast and accurate cost and performance predictions. We demonstrate how to use our methodology to achieve desired cost-performance trade-offs while outperforming established topologies in cost, performance, or both.
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- SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory SystemsMaciej Besta, Raghavendra Kanakagiri, Grzegorz Kwasniewski, Rachata Ausavarungnirun et al.MICRO 2021 · 78 citations
- Motif Prediction with Graph Neural NetworksMaciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold et al.KDD 2022 · 35 citations
- GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set AlgebraMaciej Besta, Zur Vonarburg-Shmaria, Yannick Schaffner, Leonardo Schwarz et al.VLDB 2021 · 28 citations
- High-performance parallel graph coloring with strong guarantees on work, depth, and qualityMaciej Besta, Armon Carigiet, Kacper Janda, Zur Vonarburg-Shmaria et al.SC 2020 · 20 citations
- On the parallel I/O optimality of linear algebra kernels: near-optimal matrix factorizationsGrzegorz Kwasniewski, Marko Kabic, Tal Ben-Nun, Alexandros Nikolaos Ziogas et al.SC 2021 · 18 citations
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