Designing energy-efficient NoC for real-time embedded systems through slack optimization

Jia Zhan, Nikolay Stoimenov, Jin Ouyang, Lothar Thieley, Vijaykrishnan Narayanan, Yuan Xie

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

27 Scopus citations


Hard real-time embedded systems impose a strict latency requirement on interconnection subsystems. In the case of network- on-chip (NoC), this means each packet of a traffic stream has to be delivered within a time interval. In addition, with the increasing complexity of NoC, it consumes a significant portion of total chip power, which boosts the power footprint of such chips. In this work, we propose a methodology to mini- mize the energy consumption of NoC without violating the pre- specified latency deadlines of real-time applications. First, we develop a formal approach based on network calculus to obtain the worst-case delay bound of all packets, from which we derive a safe estimate of the number of cycles that a packet can be further delayed in the network without violating its deadline| the worst-case slack. With this information, we then develop an optimization algorithm that trades the slacks for lower NoC energy. Our algorithm recognizes the distribution of slacks for different traffic streams, and assigns different voltages and frequencies to different routers to achieve NoC energy-effciency, while meeting the deadlines for all packets.

Original languageEnglish (US)
Title of host publicationProceedings of the 50th Annual Design Automation Conference, DAC 2013
StatePublished - 2013
Event50th Annual Design Automation Conference, DAC 2013 - Austin, TX, United States
Duration: May 29 2013Jun 7 2013

Publication series

NameProceedings - Design Automation Conference
ISSN (Print)0738-100X


Other50th Annual Design Automation Conference, DAC 2013
Country/TerritoryUnited States
CityAustin, TX

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation


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