Automatic Tuning of Compilers Using Machine Learning

  • Amir H. Ashouri
  • Gianluca Palermo
  • John Cavazos
  • Cristina Silvano

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the PoliMI SpringerBriefs book sub series (BRIEFSPOLIMI)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Amir H. Ashouri, Gianluca Palermo, John Cavazos, Cristina Silvano
    Pages 1-22
  3. Amir H. Ashouri, Gianluca Palermo, John Cavazos, Cristina Silvano
    Pages 23-39
  4. Amir H. Ashouri, Gianluca Palermo, John Cavazos, Cristina Silvano
    Pages 41-70
  5. Amir H. Ashouri, Gianluca Palermo, John Cavazos, Cristina Silvano
    Pages 71-83
  6. Amir H. Ashouri, Gianluca Palermo, John Cavazos, Cristina Silvano
    Pages 85-113
  7. Amir H. Ashouri, Gianluca Palermo, John Cavazos, Cristina Silvano
    Pages 115-116
  8. Back Matter
    Pages 117-118

About this book

Introduction

This book explores break-through approaches to tackling and mitigating the well-known problems of compiler optimization using design space exploration and machine learning techniques. It demonstrates that not all the optimization passes are suitable for use within an optimization sequence and that, in fact, many of the available passes tend to counteract one another. After providing a comprehensive survey of currently available methodologies, including many experimental comparisons with state-of-the-art compiler frameworks, the book describes new approaches to solving the problem of selecting the best compiler optimizations and the phase-ordering problem, allowing readers to overcome the enormous complexity of choosing the right order of optimizations for each code segment in an application. As such, the book offers a valuable resource for a broad readership, including researchers interested in Computer Architecture, Electronic Design Automation and Machine Learning, as well as computer architects and compiler developers.

Keywords

Embedded Computing High Performance Computing Software Characterization Design Space Exploration Performance Modeling Auto-tuning Compiler Optimization

Authors and affiliations

  • Amir H. Ashouri
    • 1
  • Gianluca Palermo
    • 2
  • John Cavazos
    • 3
  • Cristina Silvano
    • 4
  1. 1.Edward S. Rogers Sr. Department of Electrical and Computer Engineering (ECE)University of TorontoTorontoCanada
  2. 2.Department of Electronics, Information and Bioengineering (DEIB)Politecnico di MilanoMilanItaly
  3. 3.Computer and Information Sciences (CIS)University of DelawareNewarkUSA
  4. 4.Department of Electronics, Information and Bioengineering (DEIB)Politecnico di MilanoMilanItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-71489-9
  • Copyright Information The Author(s) 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-71488-2
  • Online ISBN 978-3-319-71489-9
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • About this book