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Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores

  • Santiago Pagani
  • Jian-Jia Chen
  • Muhammad Shafique
  • Jörg Henkel

Table of contents

  1. Front Matter
    Pages i-l
  2. Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel
    Pages 1-22
  3. Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel
    Pages 23-34
  4. Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel
    Pages 35-50
  5. Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel
    Pages 51-57
  6. Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel
    Pages 59-92
  7. Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel
    Pages 93-109
  8. Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel
    Pages 111-130
  9. Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel
    Pages 131-180
  10. Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel
    Pages 181-214
  11. Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel
    Pages 215-239
  12. Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel
    Pages 241-245
  13. Back Matter
    Pages 247-250

About this book

Introduction

This book focuses on two of the most relevant problems related to power management on multicore and manycore systems. Specifically, one part of the book focuses on maximizing/optimizing computational performance under power or thermal constraints, while another part focuses on minimizing energy consumption under performance (or real-time) constraints.


  • Provides a comprehensive introduction to energy, power, and temperature management, highlighting the different optimization goals, particularly computational performance, power and energy consumption, and temperature;
  • Highlights the differences and similarities between the two key challenges of performance optimization under power or thermal constraints and energy minimization under performance constraints;
  • Discusses in detail several means that can be used to optimize performance or energy while satisfying the desired constraints, including core heterogeneity, task-to-core assignment/mapping, dynamic power management (DPM), and dynamic voltage and frequency scaling (DVFS).

Keywords

Performance Optimization under Power or Thermal Constraints Core Heterogeneity Task-to-core Assignment/Mapping Dynamic Power Management Dynamic Voltage and Frequency Scaling

Authors and affiliations

  • Santiago Pagani
    • 1
  • Jian-Jia Chen
    • 2
  • Muhammad Shafique
    • 3
  • Jörg Henkel
    • 4
  1. 1.ARMCambridgeUnited Kingdom
  2. 2.Technical University of DortmundDortmund, North Rhine-WestphaliaGermany
  3. 3.Vienna University of TechnologyViennaAustria
  4. 4.Karlsruhe Institute of TechnologyKarlsruheGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-77479-4
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-77478-7
  • Online ISBN 978-3-319-77479-4
  • Buy this book on publisher's site
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