OpenCL in Action

How to accelerate graphics and computations

• Publisher: Manning
• Year: 2011
• ISBN:
  9781638352389
• Topic: Computer Science
• Subtopic: Parallel Programming
• Index: Computer Science

Summary OpenCL in Action is a thorough, hands-on presentation of OpenCL, with an eye toward showing developers how to build high-performance applications of their own. It begins by presenting the core concepts behind OpenCL, including vector computing, parallel programming, and multi-threaded operations, and then guides you step-by-step from simple data structures to complex functions.
About the Technology
Whatever system you have, it probably has more raw processing power than you're using. OpenCL is a high-performance programming language that maximizes computational power by executing on CPUs, graphics processors, and other number-crunching devices. It's perfect for speed-sensitive tasks like vector computing, matrix operations, and graphics acceleration.
About this Book
OpenCL in Action blends the theory of parallel computing with the practical reality of building high-performance applications using OpenCL. It first guides you through the fundamental data structures in an intuitive manner. Then, it explains techniques for high-speed sorting, image processing, matrix operations, and fast Fourier transform. The book concludes with a deep look at the all-important subject of graphics acceleration. Numerous challenging examples give you different ways to experiment with working code.A background in C or C++ is helpful, but no prior exposure to OpenCL is needed. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.
What's Inside

• Learn OpenCL step by step
• Tons of annotated code
• Tested algorithms for maximum performance

* * * * * * * * * **
Table of Contents PART 1 FOUNDATIONS OF OPENCL PROGRAMMING

• Introducing OpenCL
• Host programming: fundamental data structures
• Host programming: data transfer and partitioning
• Kernel programming: data types and device memory
• Kernel programming: operators and functions
• Image processing
• Events, profiling, and synchronization
• Development with C++
• Development with Java and Python
• General coding principles
• PART 2 CODING PRACTICAL ALGORITHMS IN OPENCL
• Reduction and sorting
• Matrices and QR decomposition
• Sparse matrices
• Signal processing and the fast Fourier transform
• PART 3 ACCELERATING OPENGL WITH OPENCL
• Combining OpenCL and OpenGL
• Textures and renderbuffers

Table of contents

• Copyright
• Brief Table of Contents
• Table of Contents
• Preface
• Acknowledgments
• About this Book
• Part 1. Foundations of OpenCL programming
• Chapter 1. Introducing OpenCL
• Chapter 2. Host programming: fundamental data structures
• Chapter 3. Host programming: data transfer and partitioning
• Chapter 4. Kernel programming: data types and device memory
• Chapter 5. Kernel programming: operators and functions
• Chapter 6. Image processing
• Chapter 7. Events, profiling, and synchronization
• Chapter 8. Development with C++
• Chapter 9. Development with Java and Python
• Chapter 10. General coding principles
• Part 2. Coding practical algorithms in OpenCL
• Chapter 11. Reduction and sorting
• Chapter 12. Matrices and QR decomposition
• Chapter 13. Sparse matrices
• Chapter 14. Signal processing and the fast Fourier transform
• Part 3. Accelerating OpenGL with OpenCL
• Chapter 15. Combining OpenCL and OpenGL
• Chapter 16. Textures and renderbuffers
• Appendix A. Installing and using a software development kit
• Appendix B. Real-time rendering with OpenGL
• Appendix C. The minimalist GNU for Windows and OpenCL
• Appendix D. OpenCL on mobile devices
• Index
• List of Figures
• List of Tables
• List of Listings