Millimeter wave wireless network on chip using deep reinforcement learning

Suraj Jog, Zikun Liu, Antonio Franques, Vimuth Fernando, Haitham Hassanieh, Sergi Abadal, Josep Torrellas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wireless Network-on-Chip (NoC) has emerged as a promising solution to scale chip multi-core processors to hundreds of cores. However, traditional medium access protocols fall short here since the traffic patterns on wireless NoCs tend to be very dynamic and can change drastically across different cores, different time intervals and different applications. In this work, we present NeuMAC, a unified approach that combines networking, architecture and AI to generate highly adaptive medium access protocols that can learn and optimize for the structure, correlations and statistics of the traffic patterns on the NoC. Our results show that NeuMAC can quickly adapt to NoC traffic to provide significant gains in terms of latency and overall execution time, improving the execution time by up to 1.69X - 3.74X.

Original languageEnglish (US)
Title of host publicationProceedings of the SIGCOMM 2020 Poster and Demo Sessions, SIGCOMM 2020
PublisherAssociation for Computing Machinery, Inc
Pages70-72
Number of pages3
ISBN (Electronic)9781450380485
DOIs
StatePublished - Aug 10 2020
Event2020 Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication, SIGCOMM 2020 - Virtual, Online, United States
Duration: Aug 10 2020Aug 14 2020

Publication series

NameProceedings of the SIGCOMM 2020 Poster and Demo Sessions, SIGCOMM 2020

Conference

Conference2020 Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication, SIGCOMM 2020
Country/TerritoryUnited States
CityVirtual, Online
Period8/10/208/14/20

Keywords

  • Deep reinforcement learning
  • Millimeter wave
  • Wireless network-on-chip

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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