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CUDA Application Design and Development by [Farber, Rob]
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CUDA Application Design and Development Kindle Edition

3.7 out of 5 stars 3 customer reviews

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Review

The book by Rob Faber on CUDA Application Design and Development is required reading for anyone who wants to understand and efficiently program CUDA for scientific and visual programming. It provides a hands-on exposure to the details in a readable and easy to understand form. Jack Dongarra, Innovative Computing Laboratory, EECS Department, University of Tennessee

GPUs have the potential to take computational simulations to new levels of scale and detail. Many scientists are already realising these benefits, tackling larger and more complex problems that are not feasible on conventional CPU-based systems. This book provides the tools and techniques for anyone wishing to join these pioneers, in an accessible though thorough text that a budding CUDA programmer would do well to keep close to hand. Dr. George Beckett, EPCC, University of Edinburgh

With his book, Farber takes us on a journey to the exciting world of programming multi-core processor machines with CUDA. Farber's pragmatic approach is effective in guiding the reader across challenges and their solutions.   Farber's broader presentation of parallel programming with CUDA ranging from CUDA in Cloud and Cluster environments to CUDA for real problems and applications helps the reader learning about the unique opportunities this parallel programming language can offer to the scientific community. This book is definitely a must for students, teachers, and developers! Michela Taufer, Assistant Professor, Department of Computer and Information Sciences, University of Delaware

Rob Farber has written an enlightening and accessible book on the application to CUDA for real research tasks, with an eye to developing scalable and distributed GPU applications.  He supplies clear and usable code examples combined with insight about _why_ one should use a particular approach.  This is an excellent book filled with practical advice for experienced CUDA programmers and ground-up guidance for beginners wondering if CUDA can accelerate their time to solution. Paul A. Navrátil, Manager, Visualization Software, Texas Advanced Computing Center

The book provides a solid introduction to the CUDA programming language starting with the basics and progressively exposing the reader to advanced concepts through the well annotated implementation of real-world applications. It makes a first-rate presentation of CUDA, its use in the implementation of portable and efficient applications and the underlying architecture of GPGPU/CPU systems with particular emphasis on memory hierarchies. This is complemented by a thorough presentation both of the CUDA Tool Suite and of techniques for the parallelisation of applications. Farber's book is a valuable addition to the bookshelves of both the advanced and novice CUDA programmer. Francis Wray, Independent Consultant and Visiting Professor at the Faculty of Computing, Information Systems and Mathematics at the University of Kingston

At a brisk pace, "CUDA Application Design and Development" will take one from the basics of CUDA programming to the level where real-time video processing becomes a stroll in the park. Along the way, the reader can get a clear understanding of how the hybrid CPU-GPU computing idea can be capitalized on, and how a 500-GPU configuration can be used in large scale machine learning problems.  Wasting no time on obscure issues of little relevance, the book provides an excellent account of the CUDA execution model, memory access issues, opportunities to increase parallelism in a program, and how advanced profiling can squeeze performance out of a code.  Rob provides a snapshot of everything that is relevant in CUDA based GPU computing in a style honed through a long series of Dr. Dobb’s articles that have delighted scores of CUDA programmers.  His followers will be delighted once again. Dan Negrut, Associate Professor, University of Wisconsin-Madison, NVIDIA CUDA Fellow

About the Author

Rob Farber has served as a scientist in Europe at the Irish Center for High-End Computing as well as U.S. national labs in Los Alamos, Berkeley, and the Pacific Northwest. He has also been on the external faculty at the Santa Fe Institute, consultant to fortune 100 companies, and co-founder of two computational startups that achieved liquidity events. He is the author of "CUDA Application Design and Development" as well as numerous articles and tutorials that have appeared in Dr. Dobb's Journal and Scientific Computing, The Code Project and others.

Product details

  • Format: Kindle Edition
  • File Size: 1922 KB
  • Print Length: 338 pages
  • Page Numbers Source ISBN: 0123884268
  • Publisher: Morgan Kaufmann; 1 edition (8 Oct. 2011)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B006CFEA3K
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Average Customer Review: 3.7 out of 5 stars 3 customer reviews
  • Amazon Bestsellers Rank: #842,256 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Format: Paperback Verified Purchase
This is probably not the best first book on Cuda since it is more an overview of the possibilities available fromt he Cuda platform, but it's a great book for pointing users int he right direction once they have a grasp of the basics with Cuda. Generic functions and links are provided along with concise 'get-you-started' programs and snippets, so that the reader is presented with a variety of hooks into video apps, medical imaging technology and so on, without having to search high and low online for either tutorials or inspiration. With this in your armory, it's all about hard-core coding hereon, and no-one's going to do that for you! Brilliant book, my only gripe is that I'd have preferred more full-on A-Z examples.
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Format: Paperback
As one might expect any book authored by a Research Scientist will go into detail to considerable depth. This book is no exception. But that is no bad thing even if - like me - you feel unqualified to comment on the finer points. It simply cements the top-level understanding which this book gives.

I purchased this book to gain insight into the differences in GPU architecture (and memory layout) from CPU architectures. The book achieved this.(bearing in mind the fact that most readers will already have some knowledge of CPU architecture.)

With a CUDA enabled video board, the free NVidia Cuda compiler, and this book, readers should be able to leverage themselves into a level at which they are able to fully exploit the benefits that the latest technologies can offer.
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Format: Paperback Verified Purchase
Seemingly nice book to have, but I have read better ones.
Its kind of getting all over the place with somewhat messy examples.
Pity.
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