19. Workload Clustering for Increasing Energy Savings on Embedded MPSOCS

  1. Albert Y. Zomaya and
  2. Young Choon Lee
  1. Ozcan Ozturk1,
  2. Mahmut Kandemir2 and
  3. Sri Hari Krishna Narayanan3

Published Online: 30 JUL 2012

DOI: 10.1002/9781118342015.ch19

Energy-Efficient Distributed Computing Systems

Energy-Efficient Distributed Computing Systems

How to Cite

Ozturk, O., Kandemir, M. and Krishna Narayanan, S. H. (2012) Workload Clustering for Increasing Energy Savings on Embedded MPSOCS, in Energy-Efficient Distributed Computing Systems (eds A. Y. Zomaya and Y. C. Lee), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118342015.ch19

Editor Information

  1. Centre for Distributed and High Performance Computing, School of Information Technologies, University of Sydney, NSW, Australia

Author Information

  1. 1

    Bilkent University, Turkey

  2. 2

    Pennsylvania State University, PA, USA

  3. 3

    Argonne National Laboratory, IL, USA

Publication History

  1. Published Online: 30 JUL 2012
  2. Published Print: 3 AUG 2012

ISBN Information

Print ISBN: 9780470908754

Online ISBN: 9781118342015

SEARCH

Keywords:

  • workload clustering for energy savings on embedded MPSOCS;
  • energy savings in embedded MPSoC, voltage scaling/processor shutdown;
  • loop-nest-based application parallelization strategy;
  • experimental results using SIMICS simulation platform;
  • MPSoCs combine, reducing energy consumption for better results

Summary

This chapter contains sections titled:

  • Introduction

  • Embedded MPSoC Architecture, Execution Model, and Related Work

  • Our Approach

  • Experimental Evaluation

  • Conclusions

  • References