Automatic Tuning of Compilers Using Machine Learning (Record no. 79438)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03670nam a22005895i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-71489-9 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220801221230.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 171222s2018 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319714899 |
| -- | 978-3-319-71489-9 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3 |
| 100 1# - AUTHOR NAME | |
| Author | Ashouri, Amir H. |
| 245 10 - TITLE STATEMENT | |
| Title | Automatic Tuning of Compilers Using Machine Learning |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2018. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XVII, 118 p. 23 illus., 6 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | PoliMI SpringerBriefs, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Background -- DSE Approach for Compiler Passes -- Addressing the Selection Problem of Passes using ML -- Intermediate Speedup Prediction for the Phase-ordering Problem -- Full-sequence Speedup Prediction for the Phase-ordering Problem -- Concluding Remarks. . |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Palermo, Gianluca. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Cavazos, John. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Silvano, Cristina. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-71489-9 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2018. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Compilers (Computer programs). |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer simulation. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Compilers and Interpreters. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Modelling. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence. |
| 700 1# - AUTHOR 2 | |
| -- | (orcid)0000-0003-1668-0883 |
| -- | https://orcid.org/0000-0003-1668-0883 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2282-2585 |
| 912 ## - | |
| -- | ZDB-2-ENG |
| 912 ## - | |
| -- | ZDB-2-SXE |
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