OpenCL Programming by Example

More Information
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
About

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.

Features
  • 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
Page Count 304
Course Length 9 hours 7 minutes
ISBN 9781849692342
Date Of Publication 23 Dec 2013
Finding the performance of your program?
Case study – matrix multiplication
Case study – Histogram calculation
Finding the scope of the use of OpenCL
General tips
Summary

Authors

Ravishekhar Banger

Ravishekhar Banger calls himself a "Parallel Programming Dogsbody". Currently he is a specialist in OpenCL programming and works for library optimization using OpenCL. After graduation from SDMCET, Dharwad, in Electrical Engineering, he completed his Masters in Computer Technology from Indian Institute of Technology, Delhi. With more than eight years of industry experience, his present interest lies in General Purpose GPU programming models, parallel programming, and performance optimization for the GPU. Having worked for Samsung and Motorola, he is now a Member of Technical Staff at Advanced Micro Devices, Inc. One of his dreams is to cover most of the Himalayas by foot in various expeditions. You can reach him at ravibanger@gmail.com.

Koushik Bhattacharyya

Koushik Bhattacharyya is working with Advanced Micro Devices, Inc. as Member Technical Staff and also worked as a software developer in NVIDIA®. He did his M.Tech in Computer Science (Gold Medalist) from Indian Statistical Institute, Kolkata, and M.Sc in pure mathematics from Burdwan University. With more than ten years of experience in software development using a number of languages and platforms, Koushik's present area of interest includes parallel programming and machine learning.