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210699159
OpenCL Programming Guide
Item #:
210699159
TTD 659
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This is the first comprehensive, authoritative, and practical guide to OpenCL 1.1 specifically for working developers and software architects.
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- Using the new OpenCL (Open Computing Language) standard, you can write applications that access all available programming resources: CPUs, GPUs, and other processors such as DSPs and the Cell/B.E. processor. Already implemented by Apple, AMD, Intel, IBM, NVIDIA, and other leaders, OpenCL has outstanding potential for PCs, servers, handheld/embedded devices, high performance computing, and even cloud systems. This is the first comprehensive, authoritative, and practical guide to OpenCL 1.1 specifically for working developers and software architects. Written by five leading OpenCL authorities, OpenCL Programming Guide covers the entire specification. It reviews key use cases, shows how OpenCL can express a wide range of parallel algorithms, and offers complete reference material on both the API and OpenCL C programming language. Through complete case studies and downloadable code examples, the authors show how to write complex parallel programs that decompose workloads across many different devices. They also present all the essentials of OpenCL software performance optimization, including probing and adapting to hardware. Coverage includes Understanding OpenCL’s architecture, concepts, terminology, goals, and rationale Programming with OpenCL C and the runtime API Using buffers, sub-buffers, images, samplers, and events Sharing and synchronizing data with OpenGL and Microsoft’s Direct3D Simplifying development with the C++ Wrapper API Using OpenCL Embedded Profiles to support devices ranging from cellphones to supercomputer nodes Case studies dealing with physics simulation; image and signal processing, such as image histograms, edge detection filters, Fast Fourier Transforms, and optical flow; math libraries, such as matrix multiplication and high-performance sparse matrix multiplication; and more Source code for this book is available at https://code.google.com/p/opencl-book-samples/
| Publisher | Addison-Wesley Professional |
| Publication date | July 13, 2011 |
| Edition | 1st |
| Language | English |
| Print length | 646 pages |
| ISBN-10 | 0321749642 |
| ISBN-13 | 978-0321749642 |
| Item Weight | 2.2 pounds (1 kg) |
| Dimensions | 7 x 1.46 x 9.13 inches (17.8 x 3.7 x 23.2 cm) |
| Part of series | OpenGL |
Product Description
OpenCL Programming Guide
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Customer Questions & Answers
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Question:
What is OpenCL used for?
Answer: OpenCL is used for writing applications that can run on various processors, including CPUs, GPUs, and DSPs. -
Question:
Who is this guide intended for?
Answer: This guide is intended for working developers and software architects who want to master OpenCL. -
Question:
Does the guide include practical examples?
Answer: Yes, it includes complete case studies and downloadable code examples for practice.
Parallel Programming Editorial Review
OpenCL Programming Guide is an essential resource for those looking to master parallel programming. Published by Addison-Wesley Professional on July 13, 2011, this first edition spans 646 pages and covers a wide range of topics crucial for both beginners and experienced developers. The guide offers a thorough introduction to the OpenCL framework, ensuring readers understand both fundamental concepts and advanced techniques. Though highly informative, some readers noted its technical depth may require additional background. Notably, the book is part of the OpenGL series, making it a valuable addition to any programmer's library for mastering OpenCL and enhancing performance.
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Pros
- Comprehensive coverage of OpenCL concepts
- Suitable for beginners and experienced developers
- Part of the respected OpenGL series
- Well-structured and easy to follow
- Excellent technical depth and detail
Cons
- Might require background knowledge for some concepts
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Features & Benefits
- Comprehensive guide to OpenCL 1.1 for developers.
- Covers architecture, programming, and optimization techniques.
- Includes case studies and downloadable code examples.
- Explains parallel algorithms and performance optimization.
- Essential for diverse devices from mobile to supercomputers.
- Written by leading authorities in OpenCL.
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