PoliMI SpringerBriefs

Automatic Tuning of Compilers Using Machine Learning

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

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eBook 41,64 €
price for Spain (gross)
  • ISBN 978-3-319-71489-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 51,99 €
price for Spain (gross)
  • ISBN 978-3-319-71488-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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)

  • Background

    Ashouri, Amir H. (et al.)

    Pages 1-22

    Preview Buy Chapter 30,19 €
  • Design Space Exploration of Compiler Passes: A Co-Exploration Approach for the Embedded Domain

    Ashouri, Amir H. (et al.)

    Pages 23-39

    Preview Buy Chapter 30,19 €
  • Selecting the Best Compiler Optimizations: A Bayesian Network Approach

    Ashouri, Amir H. (et al.)

    Pages 41-70

    Preview Buy Chapter 30,19 €
  • The Phase-Ordering Problem: An Intermediate Speedup Prediction Approach

    Ashouri, Amir H. (et al.)

    Pages 71-83

    Preview Buy Chapter 30,19 €
  • The Phase-Ordering Problem: A Complete Sequence Prediction Approach

    Ashouri, Amir H. (et al.)

    Pages 85-113

    Preview Buy Chapter 30,19 €

Buy this book

eBook 41,64 €
price for Spain (gross)
  • ISBN 978-3-319-71489-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 51,99 €
price for Spain (gross)
  • ISBN 978-3-319-71488-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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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