PoliMI SpringerBriefs

Automatic Tuning of Compilers Using Machine Learning

Authors: Ashouri, A.H., Palermo, G., Cavazos, J., Silvano, C.

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  • ISBN 978-3-319-71489-9
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About this book

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.

Table of contents (6 chapters)

Table of contents (6 chapters)
  • Background

    Pages 1-22

    Ashouri, Amir H. (et al.)

  • Design Space Exploration of Compiler Passes: A Co-Exploration Approach for the Embedded Domain

    Pages 23-39

    Ashouri, Amir H. (et al.)

  • Selecting the Best Compiler Optimizations: A Bayesian Network Approach

    Pages 41-70

    Ashouri, Amir H. (et al.)

  • The Phase-Ordering Problem: An Intermediate Speedup Prediction Approach

    Pages 71-83

    Ashouri, Amir H. (et al.)

  • The Phase-Ordering Problem: A Complete Sequence Prediction Approach

    Pages 85-113

    Ashouri, Amir H. (et al.)

Buy this book

eBook $39.99
price for USA in USD
  • ISBN 978-3-319-71489-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Softcover $54.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Automatic Tuning of Compilers Using Machine Learning
Authors
Series Title
PoliMI SpringerBriefs
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-71489-9
DOI
10.1007/978-3-319-71489-9
Softcover ISBN
978-3-319-71488-2
Series ISSN
2282-2577
Edition Number
1
Number of Pages
XVII, 118
Number of Illustrations
17 b/w illustrations, 6 illustrations in colour
Topics