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SAMi: Self-aware migration approach for congestion reduction in NoC-based MCSoC

  • Amin Rezaei
  • , Masoud Daneshtalab
  • , Dan Zhao
  • , Mehdi Modarressi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Many-Core System-on-Chips (MCSoCs) require efficient task migration approach in order to reach system performance objectives such as load balancing, communication optimization, fault tolerance, and temperature control. In this paper an efficient self-aware migration approach is introduced for NoC-based MCSoCs using a centralized feedback controller in order to control the congestion over the system. The proposed approach is divided into four main steps: predicting behavior of the application, defining reliable triggers to initiate task migration, introducing cost comparison functions, and presenting a streamlined controlling mechanism to migrate tasks. The experimental results affirm that the proposed self-aware migration approach can help achieving significant throughput and system utilization while efficiently controlling system congestion.

Original languageEnglish (US)
Title of host publicationProceedings - 29th IEEE International System on Chip Conference, SOCC 2016
EditorsKaran Bhatia, Massimo Alioto, Danella Zhao, Andrew Marshall, Ramalingam Sridhar
PublisherIEEE Computer Society
Pages145-150
Number of pages6
ISBN (Electronic)9781509013661
DOIs
StatePublished - Jul 2 2016
Externally publishedYes
Event29th IEEE International System on Chip Conference, SOCC 2016 - Seattle, United States
Duration: Sep 6 2016 → Sep 9 2016

Publication series

NameInternational System on Chip Conference
Volume0
ISSN (Print)2164-1676
ISSN (Electronic)2164-1706

Conference

Conference29th IEEE International System on Chip Conference, SOCC 2016
Country/TerritoryUnited States
CitySeattle
Period9/6/16 → 9/9/16

Keywords

  • Congestion
  • Feedback Controller
  • MCSoC
  • NoC
  • Performance
  • Task Migration

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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