Editors:
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
Includes supplementary material: sn.pub/extras
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (20 chapters)
-
Front Matter
-
Introduction
-
Front Matter
-
-
Achievements in Scientific Computing
-
Front Matter
-
-
Evolution to a General Paradigm
-
Front Matter
-
About this book
Keywords
- Adaptive algorithms
- Computing with GPGPU and accelators
- Multicore Processors
- Parallel and distributed computing
- Performance Debugging
- algorithms
- automatically-tuned code generation
- autonomic computing and context-aware computing
- computer-aided design (CAD)
- debugging
- hybrid systems
- low-power computing
- performance tuning
- simulation
Editors and Affiliations
-
Central Research Laboratory, Hitachi Ltd., Kokubunji-shi, Tokyo, Japan
Ken Naono
-
Cray, Inc., St Paul, USA
Keita Teranishi
-
Dept. Computer & Information Sciences, University of Delaware, Newark, USA
John Cavazos
-
Dept. Computer Science, University of Tokyo, Tokyo, Japan
Reiji Suda
Bibliographic Information
Book Title: Software Automatic Tuning
Book Subtitle: From Concepts to State-of-the-Art Results
Editors: Ken Naono, Keita Teranishi, John Cavazos, Reiji Suda
DOI: https://doi.org/10.1007/978-1-4419-6935-4
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media LLC 2010
Hardcover ISBN: 978-1-4419-6934-7Published: 21 September 2010
Softcover ISBN: 978-1-4899-9884-2Published: 20 October 2014
eBook ISBN: 978-1-4419-6935-4Published: 09 September 2010
Edition Number: 1
Number of Pages: XIV, 377
Topics: Circuits and Systems, Computer-Aided Engineering (CAD, CAE) and Design