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OpenCL Programming Guide, by Aaftab Munshi, Benedict Gaster, Timothy G. Mattson, James Fung, Dan Ginsburg
Free Ebook OpenCL Programming Guide, by Aaftab Munshi, Benedict Gaster, Timothy G. Mattson, James Fung, Dan Ginsburg
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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/
- Sales Rank: #780168 in Books
- Published on: 2011-07-23
- Released on: 2011-07-13
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 1.40" w x 6.70" l, 2.23 pounds
- Binding: Paperback
- 648 pages
Review
“Welcome to the new world of heterogeneous parallel programming with this authoritative and accessible guide to the complete OpenCL Programming Model.”
–Professor Pat Hanrahan, Stanford University
Most helpful customer reviews
19 of 20 people found the following review helpful.
Mostly a good choice for learning OpenCL
By Liad Weinberger
OpenCL Programming Guide is the 2nd book (to my awareness) being published, which deals with the new and exciting standard by the KHRONOS Group: OpenCL. The goal of this book is to provide the reader with an extensive walkthrough of the standard, providing explanations to complement the standard's specs. The authors of the book dim it "a pragmatic guide for people interested in writing code", and that it is.
The book is at its first edition, and it shows. Throughout the book there are typos, and what can only be explained as 'copy & paste' originated mistakes. Some of the code samples contain generic errors such as memory leaks or incorrect remarks, and some of the figures simply do not convey the intended concept, or are erroneous. The majority of errata I personally reported dealt with these types of errors, which are arguably acceptable (for a first edition) as they are not regarding the focus of the book, however, the book also contains some errata that does touch the actual focus, like an incorrect explanation (e.g. reported issue #14 on pg.132, and reported issue #4 on pg.65), or incorrect usage of returned information (e.g. reported issue #8 on page 88).
On the other hand, the book does provide good insight on a vast portion of the standard. Although it claims to cover the entire spec, the level of this coverage is inconsistent and in some aspects completely lacking (e.g. the explanation of clEnqueueTask() could have been accompanied with a concise example, but in turn ended up as a short sub-section). On the portions with most interest, i.e., OpenCL's support for data-parallel algorithms, the book does provide extended information, and adds to the OpenCL specs, by clarifying the concepts.
The 2nd part of the book, which was added rather close to the final release of the book (from the eyes of a SafariBooksOnline RoughCuts reader), provides 9 case studies of OpenCL usage. Some of these are purely pedagogic (e.g. chapter 15), but some provide more real-world examples of how OpenCL can be used, and optimized (especially for a GPU). These add another dimension to the book, and contribute to its relevancy.
On a closing note, I do think that the book is worth the while. It is currently the best option besides reading the specs, to learn the OpenCL APIs and OpenCL C programming language, and despite the shortcomings I've mentioned, it does manage to provide the gist of OpenCL, and add insight to the standard.
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Proper disclosure: OpenCL and GPU programming is what I do for a living.
8 of 9 people found the following review helpful.
This is a really good book. I will definitely buy the next edition!
By SmilingDeveloper
The heavy book with the thin green cover is a "must read" book for beginning OpenCL developers. Experienced OpenCL developers could find some chapters interesting too. The book can be used both as day to day reference book and as a manual.
The detailed introduction (chapter 1) enables the reader to understand the essentially important thing - the design of the technology (OpenCL standard v.1.1). It is considered in the book from 4 sides which are reviewed in the connection with each other: platform, execution, memory and programming models. If you are the novice in OpenCL, I urgently recommend you to read introduction firstly.
The narration continues with the "Hello World" example (chapter 2). It is big enough and divided into several subsections. Each of them we can consider as simple steps to create a real OpenCL application. I like it. After 1st an 2nd chapters, I guess, it is hard enough to NOT understand how to write your own OpenCL software. Sure, in this case you need to use some reference book (or the text of OpenCL standard), but from this point you are able to do it without a special assistance.
The next several chapters represent the mentioned by me so called "reference book". In particular, chapter 3 gives a detailed account of OpenCL platform, devices and context; chapters 4 ad 5 represent in detail OpenCL C programming language (operators, types, keywords and other things which you could find in any other programming language); chapters 6, 7, 8 and 9 describe in detail remained components of the technology: kernels, memory objects, images, events and so on. Well, I've concluded that chapters from 3 to 9 could be use as a real day to day reference book. For me it is quite useful.
To tell you the truth, the chapters 10 and 11 and 13 I've skipped, because interoperability with D3D and OpenGL, and embedded development with OpenCL are not interesting for me, but for somebody it could be useful too. The chapter 12 concerns the details of the C++ wrapper API: all staff in cl.hpp header file are briefly but well described.
The second and most interesting for experienced developers part of the book describes real cases of OpenCL using. Here 9 OpenCL-implementations of the specific algorithms are well described. It looks like all of them have been taken from the real author's software. Good. Some of the algorithms are illustrated with explicative figures. I think this part of the book with case studies could be a separated book. I just want to noted that I would glad to see more case studies, especially with vectors and matrices operations.
In addition, I want to mention chapter 20 "Using OpenCL with PyOpenCL". In recent times adopting of python in high performance applications is more and more wide. There are many techniques to improve the performance of python applications, but using GPGPU in intensive computing parts of application could become real help for python developers.
Also, it could be interesting to add chapter concerning using WebCL. Sure, nowadays WebCL is not so widely used, but the next year (2012) promises to be an year of WebCL. I hope.
To sum up, what I like in this book: organization of material, good introduction in OpenCL, detailed "Hello, world" chapter, appropriate case studies, detailed "reference book" part, print quality. Dislike: too soft cover, the lack of WebCL chapter, the number of case studies could be bigger.
4 of 5 people found the following review helpful.
Excellent book for OpenCL beginners.
By pansdragon
For people who know nothing on OpenCL and little on heterogeneous programming, this is a must-have book. The books cover a lot of OpenCL stuffs, including basic concepts, API calls, and programming in OpenCL C language. And in the second part of the book, a few application using the OpenCL programming platform are presented, in which OpenCL optimization skills are discussed and we can see as a new standard OpenCL could be very promising in future. This book assumes the readers have C/C++ programming experience and does a great job on introducing OpenCL to these audience.
Aside from the excellent introduction and programming guidance, as a beginning to intermediate programmer using OpenCL, I wish the book can have more material on the following few aspects:
1. The book does not cover too many optimization techniques. The book is to teach you how to use OpenCL but not how to optimize the code. This is understandable because OpenCL is a technology still in its infant stage. But adding those could definitely improve people's interest in OpenCL and meet needs of those more advanced readers.
2. Debug technique. Debugging a kernel in OpenCL can be a huge pain! You cannot step into the kernel to trace it. I wish to read more debug techniques.
3. The code samples are downloaded using CVS and it seems like there are problems when using them. It also lacks of detailed readme files.
4. OpenCL platform/hardware comparison, say nVidia:AMD:Intel:QUALCOMM on OpenCL.
5. More use case studies on mobile platforms.
6. Future of OpenCL. As a new technology/standard, what challenges it is facing and where it is heading to.
This book is probably the first complete OpenCL programming guide book. And I highly recommend it.
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