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Energy-Efficient High Performance Computing

Measurement and Tuning

  • Book
  • © 2013

Overview

Authors:
  1. James H. Laros III

    1. Sandia National Laboratories, Albuquerque, USA

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  2. Kevin Pedretti

    1. Sandia National Laboratories, Albuquerque, USA

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  3. Suzanne M. Kelly

    1. Sandia National Laboratories, Albuquerque, USA

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  4. Wei Shu

    1. Electrical and Computer Engineering Dept, University of New Mexico, Albuquerque, USA

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  5. Kurt Ferreira

    1. Sandia National Laboratories, Albuquerque, USA

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  6. John Van Dyke

    1. Sandia National Laboratories, Albuquerque, USA

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  7. Courtenay Vaughan

    1. Sandia National Laboratories, Albuquerque, USA

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  • Examines the power requirements of a range of important DOE/NNSA production scientific computing applications running at large scale
  • Demonstrates how CPU and network bandwidth tuning can result in energy savings with little or no impact on run-time performance
  • Discusses how next-generation large-scale platforms could benefit from the capability to tune platform components to achieve more energy-efficient performance
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Introduction

    • James H. Laros III, Kevin Pedretti, Suzanne M. Kelly, Wei Shu, Kurt Ferreira, John Vandyke et al.
    Pages 1-4

  3. Platforms

    • James H. Laros III, Kevin Pedretti, Suzanne M. Kelly, Wei Shu, Kurt Ferreira, John Vandyke et al.
    Pages 5-9

  4. Measuring Power

    • James H. Laros III, Kevin Pedretti, Suzanne M. Kelly, Wei Shu, Kurt Ferreira, John Vandyke et al.
    Pages 11-16

  5. Applications

    • James H. Laros III, Kevin Pedretti, Suzanne M. Kelly, Wei Shu, Kurt Ferreira, John Vandyke et al.
    Pages 17-19

  6. Reducing Power During Idle Cycles

    • James H. Laros III, Kevin Pedretti, Suzanne M. Kelly, Wei Shu, Kurt Ferreira, John Van Dyke et al.
    Pages 21-30

  7. Tuning CPU Power During Application Runtime

    • James H. Laros III, Kevin Pedretti, Suzanne M. Kelly, Wei Shu, Kurt Ferreira, John Vandyke et al.
    Pages 31-42

  8. Network Bandwidth Tuning During Application Runtime

    • James H. Laros III, Kevin Pedretti, Suzanne M. Kelly, Wei Shu, Kurt Ferreira, John Vandyke et al.
    Pages 43-49

  9. Energy Delay Product

    • James H. Laros III, Kevin Pedretti, Suzanne M. Kelly, Wei Shu, Kurt Ferreira, John Vandyke et al.
    Pages 51-55

  10. Conclusions

    • James H. Laros III, Kevin Pedretti, Suzanne M. Kelly, Wei Shu, Kurt Ferreira, John Vandyke et al.
    Pages 57-59

  11. Back Matter

    Pages 61-67
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Keywords

About this book

In this work, the unique power measurement capabilities of the Cray XT architecture were exploited to gain an understanding of power and energy use, and the effects of tuning both CPU and network bandwidth. Modifications were made to deterministically halt cores when idle. Additionally, capabilities were added to alter operating P-state. At the application level, an understanding of the power requirements of a range of important DOE/NNSA production scientific computing applications running at large scale is gained by simultaneously collecting current and voltage measurements on the hosting nodes. The effects of both CPU and network bandwidth tuning are examined, and energy savings opportunities without impact on run-time performance are demonstrated. This research suggests that next-generation large-scale platforms should not only approach CPU frequency scaling differently, but could also benefit from the capability to tune other platform components to achieve more energy-efficient performance.

Authors and Affiliations

  • Sandia National Laboratories, Albuquerque, USA

    James H. Laros III, Kevin Pedretti, Suzanne M. Kelly, Kurt Ferreira, John Van Dyke, Courtenay Vaughan

  • Electrical and Computer Engineering Dept, University of New Mexico, Albuquerque, USA

    Wei Shu

Bibliographic Information

  • Book Title: Energy-Efficient High Performance Computing

  • Book Subtitle: Measurement and Tuning

  • Authors: James H. Laros III, Kevin Pedretti, Suzanne M. Kelly, Wei Shu, Kurt Ferreira, John Van Dyke, Courtenay Vaughan

  • Series Title: SpringerBriefs in Computer Science

  • DOI: https://doi.org/10.1007/978-1-4471-4492-2

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag London Ltd., part of Springer Nature 2013

  • Softcover ISBN: 978-1-4471-4491-5Published: 04 September 2012

  • eBook ISBN: 978-1-4471-4492-2Published: 04 September 2012

  • Series ISSN: 2191-5768

  • Series E-ISSN: 2191-5776

  • Edition Number: 1

  • Number of Pages: XIV, 67

  • Number of Illustrations: 11 b/w illustrations, 8 illustrations in colour

  • Topics: Computer Communication Networks, Performance and Reliability, Operating Systems

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