Sparse Hamming Graph: A Customizable Network-on-Chip Topology
Patrick Iff, Maciej Besta, Matheus A. Cavalcante, Tim Fischer, Luca Benini, Torsten Hoefler
摘要
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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- Motif Prediction with Graph Neural NetworksMaciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold 等KDD 2022 · 被引用 35 次
- GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set AlgebraMaciej Besta, Zur Vonarburg-Shmaria, Yannick Schaffner, Leonardo Schwarz 等VLDB 2021 · 被引用 28 次
- High-performance parallel graph coloring with strong guarantees on work, depth, and qualityMaciej Besta, Armon Carigiet, Kacper Janda, Zur Vonarburg-Shmaria 等SC 2020 · 被引用 20 次
- On the parallel I/O optimality of linear algebra kernels: near-optimal matrix factorizationsGrzegorz Kwasniewski, Marko Kabic, Tal Ben-Nun, Alexandros Nikolaos Ziogas 等SC 2021 · 被引用 18 次
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