Software Automatic Tuning
From Concepts to State-of-the-Art Results
Editors: Naono, K., Teranishi, K., Cavazos, J., Suda, R. (Eds.)
Free Preview- Presents the first English collaboration on the powerful, new software paradigm of automatic performance tuning
- Offers a comprehensive survey of fundamental concepts and state-of-the-art results from the field
- Enables programmers to create software that will tune itself to its environment(s) so that it performs well on any computer
Buy this book
- About this book
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Software Automatic Tuning: From Concepts to State-of-the-Art Results Ken Naono Keita Teranishi John Cavazos Reiji Suda It is well known that carefully tuned programs run much faster than ones consisting of simply written code, and sometimes the difference of speed is more 100X. To make things more complex, well-tuned code for some machines performs badly on others. "Automatic Performance Tuning" is a technology paradigm that enables software to tune itself to its environments so that it performs well on any computer, even on computers unknown to the programmer. This book summarizes the research efforts to date and state of the art of automatic performance tuning. Software developers and researchers in the area of scientific and technical computing, optimized compilers, high performance systems software, and low-power computing will find this book to be an invaluable reference to this powerful new paradigm. •Presents the first English collaboration on the powerful, new software paradigm of Automatic Performance Tuning; •Offers a comprehensive survey of fundamental concepts and state-of-the-art results from the field; •Enables programmers to create software that will tune itself to its environments so that it performs well on any computer.
- Table of contents (20 chapters)
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Software Automatic Tuning: Concepts and State-of-the-Art Results
Pages 3-15
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ATLAS Version 3.9: Overview and Status
Pages 19-32
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Autotuning Method for Deciding Block Size Parameters in Dynamically Load-Balanced BLAS
Pages 33-48
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Automatic Tuning for Parallel FFTs
Pages 49-67
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Dynamic Programming Approaches to Optimizing the Blocking Strategy for Basic Matrix Decompositions
Pages 69-85
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Table of contents (20 chapters)
- Download Preface 1 PDF (37.8 KB)
- Download Sample pages 1 PDF (204.6 KB)
- Download Table of contents PDF (45.5 KB)
Bibliographic Information
- Bibliographic Information
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- Book Title
- Software Automatic Tuning
- Book Subtitle
- From Concepts to State-of-the-Art Results
- Editors
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- Ken Naono
- Keita Teranishi
- John Cavazos
- Reiji Suda
- Copyright
- 2010
- Publisher
- Springer-Verlag New York
- Copyright Holder
- Springer Science+Business Media LLC
- eBook ISBN
- 978-1-4419-6935-4
- DOI
- 10.1007/978-1-4419-6935-4
- Hardcover ISBN
- 978-1-4419-6934-7
- Softcover ISBN
- 978-1-4899-9884-2
- Edition Number
- 1
- Number of Pages
- XIV, 377
- Topics
