Heterogeneous Computing with OpenCL: Revised OpenCL 1.2 Edition
Autor Benedict Gaster, Lee Howes, David R. Kaeli, Perhaad Mistry, Dana Schaaen Limba Engleză Paperback – 30 dec 2012
Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, Heterogeneous Computing with OpenCL explores memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. It includes detailed examples throughout, plus additional online exercises and other supporting materials that can be downloaded at http://www.heterogeneouscompute.org/?page_id=7
This book will appeal to software engineers, programmers, hardware engineers, and students/advanced students.
- Explains principles and strategies to learn parallel programming with OpenCL, from understanding the four abstraction models to thoroughly testing and debugging complete applications.
- Covers image processing, web plugins, particle simulations, video editing, performance optimization, and more.
- Shows how OpenCL maps to an example target architecture and explains some of the tradeoffs associated with mapping to various architectures
- Addresses a range of fundamental programming techniques, with multiple examples and case studies that demonstrate OpenCL extensions for a variety of hardware platforms
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Specificații
ISBN-13: 9780124058941
ISBN-10: 0124058949
Pagini: 308
Ilustrații: illustrations
Dimensiuni: 191 x 235 x 18 mm
Greutate: 0.59 kg
Ediția:2. Auflage.
Editura: ELSEVIER SCIENCE
ISBN-10: 0124058949
Pagini: 308
Ilustrații: illustrations
Dimensiuni: 191 x 235 x 18 mm
Greutate: 0.59 kg
Ediția:2. Auflage.
Editura: ELSEVIER SCIENCE
Public țintă
Software engineers, programmers, hardware engineers, students / advanced studentsCuprins
- Introduction to Parallel Programming
- Introduction to OpenCL
- OpenCL Device Architectures
- Basic OpenCL Examples
- Understanding OpenCL's Concurrency and Execution Model
- Dissecting a CPU/GPU OpenCL Implementation
- Data Management
- OpenCL Case Study: Convolution
- OpenCL Case Study: Histogram
- OpenCL Case Study: Mixed Particle Simulation
- OpenCL Extensions
- Foreign Lands: Plugging OpenCL In
- OpenCL Profiling and Debugging
- Performance Optimization of an Image Analysis Application
Recenzii
"With parallel computing now in the mainstream, this book provides an excellent reference on the state-of-the-art techniques in accelerating applications on CPU-GPU systems." --David A. Bader, Georgia Institute of Technology
"Intended for software architects and engineers, this guide to OpenCL examines potential uses and practical application of the cross platform programming language for heterogeneous computing. The work explores the use of OpenCL to design and produce scalable applications that have the ability to be optimized for processor core and GPU usage. Chapters cover an overview of OpenCL, basic examples, CPU/GPU implementation and extensions. Illustrations and sample code, as well as sections outlining case studies for the use of OpenCL in several common situations, are provided." --SciTech Book News
"I always enjoy reviewing later editions of a book…this book does not disappoint. It is definitely worth the time spent reading it." --ComputingReviews.com, 2013
"Intended for software architects and engineers, this guide to OpenCL examines potential uses and practical application of the cross platform programming language for heterogeneous computing. The work explores the use of OpenCL to design and produce scalable applications that have the ability to be optimized for processor core and GPU usage. Chapters cover an overview of OpenCL, basic examples, CPU/GPU implementation and extensions. Illustrations and sample code, as well as sections outlining case studies for the use of OpenCL in several common situations, are provided." --SciTech Book News
"I always enjoy reviewing later editions of a book…this book does not disappoint. It is definitely worth the time spent reading it." --ComputingReviews.com, 2013