Automatic Tuning of Compilers Using Machine Learning

• Main Authors: Ashouri, Amir H. (Author, http://id.loc.gov/vocabulary/relators/aut), Palermo, Gianluca (http://id.loc.gov/vocabulary/relators/aut), Cavazos, John (http://id.loc.gov/vocabulary/relators/aut), Silvano, Cristina (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: PoliMI SpringerBriefs,
• Subjects: Computational intelligence.; Programming languages (Electronic computers).; Computer simulation.; Artificial intelligence.; Computational Intelligence.; Programming Languages, Compilers, Interpreters.; Simulation and Modeling.; Artificial Intelligence.

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,...