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A Lightweight Congestion Control Technique for NoCs with Deflection Routing

Narayana, SY and Mandal, SK and Ayoub, R and Kishinevsky, M and Ogras, UY (2023) A Lightweight Congestion Control Technique for NoCs with Deflection Routing. In: 2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023, 17 - 19 April 2023, Antwerp.

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Official URL: https://doi.org/10.23919/DATE56975.2023.10136929


Network-on-Chip (NoC) congestion builds up during heavy traffic load and leads to wasted link bandwidth, crippling the system performance. We propose a lightweight machine learning-based technique that helps predict congestion in the net-work by collecting features related to traffic at each destination and labelling it using a novel time reversal approach. The labelled data is used to design a low overhead and an explainable decision tree model used at runtime congestion control. Experimental evaluations with synthetic and real traffic on industrial 6×6 NoC show that the proposed approach increases fairness and memory read bandwidth by up to 114% with respect to existing congestion control technique while incurring less than 0.01% of overhead.

Item Type: Conference Paper
Publication: Proceedings -Design, Automation and Test in Europe, DATE
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to the Institute of Electrical and Electronics Engineers Inc.
Keywords: Bandwidth; Decision trees; Traffic congestion, Control techniques; Deflection routings; Heavy traffic load; Labelings; Lightweight machines; Link bandwidth; Machine-learning; Net work; Networks on chips; Systems performance, Network-on-chip
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Date Deposited: 20 Jul 2023 11:08
Last Modified: 20 Jul 2023 11:08
URI: https://eprints.iisc.ac.in/id/eprint/82538

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