Hybrid network on chip (HNoC): Local buses with a global mesh architecture

Payman Zarkesh-Ha, George B.P. Bezerra, Stephanie Forrest, Melanie Moses

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

19 Scopus citations

Abstract

Network on chip (NoC) is often implemented with packetbased communication rather than bus connections between cores. Although NoC is a good solution for long-distance communication, local buses are more efficient for short-distance connections. In this paper, we propose a hybrid network on chip (HNoC) fabric that uses local buses for nearest-neighbor communication and the standard NoC topology for global interconnection. Local buses carry all the nearest-neighbor traffic, reducing traffic on the global network, which results in increased throughput and reduced energy consumption. Based on a communication probability density (CPD) function derived from Rent's rule, it is shown that in a 25-core chip multiprocessor, HNoC can remove up to 78% of the traffic from the global NoC topology, which results in 4.6x higher throughput and a 58% reduction in energy consumption compared to a conventional NoC topology.

Original languageEnglish (US)
Title of host publicationSLIP'10 - Proceedings of the 2010 Workshop on System Level Interconnect Prediction
Pages9-14
Number of pages6
DOIs
StatePublished - 2010
Externally publishedYes
Event12th ACM/IEEE International Workshop on System Level Interconnect Prediction, SLIP'10 - Anaheim, CA, United States
Duration: Jun 13 2010Jun 13 2010

Publication series

NameInternational Workshop on System Level Interconnect Prediction, SLIP

Other

Other12th ACM/IEEE International Workshop on System Level Interconnect Prediction, SLIP'10
Country/TerritoryUnited States
CityAnaheim, CA
Period6/13/106/13/10

Keywords

  • Global mesh
  • Hybrid network on chip
  • Local buses
  • Network traffic
  • Stochastic model
  • Throughput

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Applied Mathematics

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