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CUDA Handbook: A Comprehensive Guide to GPU Programming, The, by Nicholas Wilt
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The CUDA Handbook begins where CUDA by Example (Addison-Wesley, 2011) leaves off, discussing CUDA hardware and software in greater detail and covering both CUDA 5.0 and Kepler. Every CUDA developer, from the casual to the most sophisticated, will find something here of interest and immediate usefulness. Newer CUDA developers will see how the hardware processes commands and how the driver checks progress; more experienced CUDA developers will appreciate the expert coverage of topics such as the driver API and context migration, as well as the guidance on how best to structure CPU/GPU data interchange and synchronization.
The accompanying open source code–more than 25,000 lines of it, freely available at www.cudahandbook.com–is specifically intended to be reused and repurposed by developers.
Designed to be both a comprehensive reference and a practical cookbook, the text is divided into the following three parts:
Part I, Overview, gives high-level descriptions of the hardware and software that make CUDA possible.
Part II, Details, provides thorough descriptions of every aspect of CUDA, including
- Memory
- Streams and events
- Models of execution, including the dynamic parallelism feature, new with CUDA 5.0 and SM 3.5
- The streaming multiprocessors, including descriptions of all features through SM 3.5
- Programming multiple GPUs
- Texturing
The source code accompanying Part II is presented as reusable microbenchmarks and microdemos, designed to expose specific hardware characteristics or highlight specific use cases.
Part III, Select Applications, details specific families of CUDA applications and key parallel algorithms, including
- Streaming workloads
- Reduction
- Parallel prefix sum (Scan)
- N-body
- Image Processing
- Sales Rank: #368344 in Books
- Published on: 2013-06-22
- Original language: English
- Number of items: 1
- Dimensions: 9.07" h x 1.07" w x 7.35" l, 1.90 pounds
- Binding: Paperback
- 528 pages
From the Back Cover
About the Author
Nicholas Wilt has been programming professionally for more than twenty-five years in a variety of areas, including industrial machine vision, graphics, and low-level multimedia software. While at Microsoft, he served as the development lead for Direct3D 5.0 and 6.0, built the prototype for the Desktop Window Manager, and did early GPU computing work. At NVIDIA, he worked on CUDA from its inception, designing and often implementing most of CUDA’s low-level abstractions. Now at Amazon, Mr. Wilt is working on cloud computing technologies relating to GPUs.
Most helpful customer reviews
18 of 19 people found the following review helpful.
Excellent but NOT for beginners!
By Timothy Masters
As one slowly learns CUDA programming, numerous questions arise concerning the internal workings of the GPU. The beginning programmer does many things on faith: the documentation says to do it this way, so you do it that way, and it works. Why was that way necessary? Not clear.
The documentation supplied by nVidia is very good, and several excellent beginners' books are available. But these things fail to answer the many subtle issues that arise. That's where this book comes in. Over and over as I read it, I said, "Ohhh, that's why I have to do it that way." This book was written by a real insider, someone who knows CUDA as only an insider can. So this book is MANDATORY for anyone who wants to become an expert in CUDA programming.
However, be warned that this book is NOT for beginners! It presupposes extensive experience in CUDA programming. If this is the first CUDA book you pick up, you'll be hopelessly lost. Tackle this book only after you have a lot of CUDA under your belt.
2 of 2 people found the following review helpful.
samples work nicely with VS2013
By Talek
Awesome book, the book webpage has the samples and they work nicely with my VS2013! and are easier to make work than the cuda by example book, and has a lot of interesting facts about the cuda runtime!
0 of 0 people found the following review helpful.
Great book - this does more than just clinically explain ...
By Bamazon
Great book - this does more than just clinically explain the language. You can tell the author has spent a lot of time using CUDA and shared his experience in what works well, what could be better, how to get performance, and many other pearls of wisdom.
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