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Book: Heterogeneous Computing with OpenCL

| 24 June, 2011

AMD recently announced its collaboration on a new book for developers, Heterogeneous Computing with OpenCL, to be published by Morgan Kaufmann, an imprint of Elsevier Science & Technology Books. The book provides hands-on OpenCL™ experience and details multiple device architectures and application programming interfaces (APIs), from multi-core CPUs, GPUs and fully integrated Accelerated Processing Units (APUs) like AMD Fusion APU technology, to fundamental parallel algorithms.

 

Key Features
  • 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

 

Description

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.

 

Table of Contents

  1. Introduction to Parallel Programming
  2. Introduction to OpenCL
  3. OpenCL Device Architectures
  4. Basic OpenCL Examples
  5. Understanding OpenCL’s Concurrency and Execution Model
  6. Dissecting a CPU/GPU OpenCL Implementation
  7. OpenCL Case Study: Convolution
  8. OpenCL Case Study: Video Processing
  9. OpenCL Case Study: Histogram
  10. OpenCL Case Study: Mixed Particle Simulation
  11. OpenCL Extensions
  12. OpenCL Profiling and Debugging
  13. WebCL

 

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Category: Books, Computer Science

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