Empirical and theoretical lower bounds on energy consumption for networks on chip

George Bezerra, Dorian Arnold, Stephanie Forrest

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

Abstract

This paper focuses on the network on chip of multi-core systems and proposes empirical and theoretical lower bounds on the energy consumption of applications. The empirical method consists of an linear programming model that simultaneously reduces communication distances and network traffic. When applied to standard benchmarks, our method shows that locality exploitation can lead to 50% energy reduction on average compared to no optimization. The theoretical lower bound is based on the Rent's rule model from VLSI design, and is obtained analytically from the communication graph structure of applications. The theoretical results show excellent agreement with the empirical lower bound.

Original languageEnglish (US)
Title of host publication6th International Workshop on Network on Chip Architectures, NoCArc 2013 - In Conjunction with the 46th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2013
Pages47-50
Number of pages4
DOIs
StatePublished - 2013
Externally publishedYes
Event6th International Workshop on Network on Chip Architectures, NoCArc 2013 - In Conjunction with the 46th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2013 - Davis, CA, United States
Duration: Dec 8 2013Dec 8 2013

Publication series

NameACM International Conference Proceeding Series

Other

Other6th International Workshop on Network on Chip Architectures, NoCArc 2013 - In Conjunction with the 46th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2013
Country/TerritoryUnited States
CityDavis, CA
Period12/8/1312/8/13

Keywords

  • Energy
  • Lower-bound
  • Multi-core
  • Network on chip
  • Rent's rule
  • Traffic locality

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Empirical and theoretical lower bounds on energy consumption for networks on chip'. Together they form a unique fingerprint.

Cite this