Heterogeneous Computing with OpenCL

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  • Edition: Revised
  • Format: Paperback
  • Copyright: 2012-11-13
  • Publisher: Morgan Kaufmann Pub

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Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. 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, this book will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. The authors explore memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. Intended to support a parallel programming course, Heterogeneous Computing with OpenCL includes detailed examples throughout, plus additional online exercises and other supporting materials. 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

Table of Contents

Foreword to the Revised OpenCL 1.2 Editionp. vi
Foreword to the First Editionp. viii
Prefacep. xi
Acknowledgmentsp. xiii
About the Authorsp. xiv
Introduction to Parallel Programmingp. 1
Introduction to OpenCLp. 15
OpenCL Device Architecturesp. 39
Basic OpenCL Examplesp. 65
Understanding OpenCL's Concurrency and Execution Modelp. 85
Dissecting a CPU/GPU OpenCL Implementationp. 121
Data Managementp. 147
OpenCL Case Study: Convolutionp. 161
OpenCL Case Study: Histogramp. 183
OpenCL Case Study: Mixed Particle Simulationp. 195
OpenCL Extensionsp. 209
Foreign Lands: Plugging OpenCL Inp. 233
OpenCL Profiling and Debuggingp. 243
Performance Optimization of an Image Analysis Applicationp. 263
Indexp. 285
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