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OpenCL Programming by Example

Ravishekhar Banger, Koushik Bhattacharyya

For a comprehensive, easy-to-swallow guide to OpenCL Programming, this book is out on its own. That’s because it teaches through examples and covers everything from parallel sorting to optimization in simple stages.
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Book Details

ISBN 139781849692342
Paperback304 pages

About This Book

  • Learn about all of the OpenCL Architecture and major APIs.
  • Learn OpenCL programming with simple examples from Image Processing, Pattern Recognition and Statistics with detailed code explanation.
  • Explore several aspects of optimization techniques, with code examples to guide you through the process
  • Understand how to use OpenCL in your problem domains

Who This Book Is For

If you are a beginner in parallel programming and would like to quickly accelerate your algorithms using OpenCL, this book is perfect for you! You will find the diverse topics and case studies in this book interesting and informative. You will only require a good knowledge of C programming for this book, and an understanding of parallel implementations will be useful, but not necessary.

Table of Contents

Chapter 1: Hello OpenCL
Advances in computer architecture
Different parallel programming techniques
Introduction to OpenCL
OpenCL components
An example of OpenCL program
Chapter 2: OpenCL Architecture
Platform model
Platform versions
Execution model
Memory model
Application scaling
Chapter 3: OpenCL Buffer Objects
Memory objects
Creating subbuffer objects
Histogram calculation
Reading and writing buffers
Copying buffers
Mapping buffer objects
Querying buffer objects
Undefined behavior of the cl_mem objects
Chapter 4: OpenCL Images
Creating images
Reading and writing buffers
Copying and filling images
Mapping image objects
Querying image objects
Image histogram computation
Chapter 5: OpenCL Program and Kernel Objects
Creating program objects
Creating kernel objects
Chapter 6: Events and Synchronization
OpenCL events and monitoring these events
OpenCL event synchronization models
Coarse-grained synchronization
Event-based or fine-grained synchronization
Getting information about cl_event
User-created events
Event profiling
Memory fences
Chapter 7: OpenCL C Programming
Built-in data types
Aliasing rules
Conversions and type casts
Address space qualifiers
Image access qualifiers
Storage class specifiers
Built-in functions
Chapter 8: Basic Optimization Techniques with Case Studies
Finding the performance of your program?
Case study – matrix multiplication
Case study – Histogram calculation
Finding the scope of the use of OpenCL
General tips
Chapter 9: Image Processing and OpenCL
Image representation
Implementing image filters
OpenCL implementation of filters
JPEG compression
Chapter 10: OpenCL-OpenGL Interoperation
Introduction to OpenGL
Defining Interoperation
Implementing Interoperation
Chapter 11: Case studies – Regressions, Sort, and KNN
Regression with least square curve fitting
Bitonic sort
k-Nearest Neighborhood (k-NN) algorithm

What You Will Learn

  • Understand OpenCL Platform Model, Execution Model, Memory Model, and Programming Model
  • Explore the different OpenCL objects, APIs for building kernel, memory allocation, data transfer, synchronization, and many more
  • Get to grips with API explanations, featuring simple examples
  • Create image processing examples such as Image histogram and Image convolution
  • Learn optimization techniques with Matrix Multiplication and Histogram examples.
  • Develop Bitonic sort in OpenCL
  • Build JPEG decoder using OpenCL
  • Construct linear and parabolic regression equation in OpenCL
  • Compose k-nearest neighborhood clustering algorithm from pattern recognition
  • Use OpenCL with OpenGL interoperability

In Detail

Research in parallel programming has been a mainstream topic for a decade, and will continue to be so for many decades to come. Many parallel programming standards and frameworks exist, but only take into account one type of hardware architecture. Today computing platforms come with many heterogeneous devices. OpenCL provides royalty free standard to program heterogeneous hardware.

This guide offers you a compact coverage of all the major topics of OpenCL programming. It explains optimization techniques and strategies in-depth, using illustrative examples and also provides case studies from diverse fields. Beginners and advanced application developers will find this book very useful.

Beginning with the discussion of the OpenCL models, this book explores their architectural view, programming interfaces and primitives. It slowly demystifies the process of identifying the data and task parallelism in diverse algorithms.

It presents examples from different domains to show how the problems within different domains can be solved more efficiently using OpenCL. You will learn about parallel sorting, histogram generation, JPEG compression, linear and parabolic regression and k-nearest neighborhood, a clustering algorithm in pattern recognition. Following on from this, optimization strategies are explained with matrix multiplication examples. You will also learn how to do an interoperation of OpenGL and OpenCL.

"OpenCL Programming by Example" explains OpenCL in the simplest possible language, which beginners will find it easy to understand. Developers and programmers from different domains who want to achieve acceleration for their applications will find this book very useful.


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