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-From the Foreword by Jack Dongarra, University of Tennessee and Oak Ridge National Laboratory
“This book is required reading for anyone working with accelerator-based computing systems.
CUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunction with a comprehensive software platform, the CUDA Architecture enables programmers to draw on the immense power of graphics processing units (GPUs) when building high-performance applications. GPUs, of course, have long been available for demanding graphics and game applications. CUDA now brings this valuable resource to programmers working on applications in other domains, including science, engineering, and finance. No knowledge of graphics programming is required-just the ability to program in a modestly extended version of C.
CUDA by Example,written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples. After a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C, the book details the techniques and trade-offs associated with each key CUDA feature. You'll discover when to use each CUDA C extension and how to write CUDA software that delivers truly outstanding performance.
Major topics covered include
All the CUDA software tools you'll need are freely available for download from NVIDIA.http://developer.nvidia.com/object/cuda-by-example.html
Jason Sanders is a senior software engineer in the CUDA Platform group at NVIDIA. While at NVIDIA, he helped develop early releases of CUDA system software and contributed to the OpenCL 1.0 Specification, an industry standard for heterogeneous computing. Jason received his master’s degree in computer science from the University of California Berkeley where he published research in GPU computing, and he holds a bachelor’s degree in electrical engineering from Princeton University. Prior to joining NVIDIA, he previously held positions at ATI Technologies, Apple, and Novell. When he’s not writing books, Jason is typically working out, playing soccer, or shooting photos.
Edward Kandrot is a senior software engineer on the CUDA Algorithms team at NVIDIA. He has more than twenty years of industry experience focused on optimizing code and improving performance, including for Photoshop and Mozilla. Kandrot has worked for Adobe, Microsoft, and Google, and he has been a consultant at many companies, including Apple and Autodesk. When not coding, he can be found playing World of Warcraft or visiting Las Vegas for the amazing food.
I would recommend this book to anyone who wants to get started using CUDA.
The authors clearly explain the basic CUDA paradigm starting with very simple code and working up to progressively more complex examples.
A great, practical book for parallel computing on NVIDIA hardware using Cuda C/C++ extension.
A great, practical book for parallel computing on NVIDIA hardware using Cuda C/C++ extension.Published 2 months ago by Syed W Ali
I read it cover-to-cover. I enjoyed it all.
I gained enough understanding that I think I could organize a continuous work queue for the GPU to work from and a few... Read more
Great introduction to CUDA programming. The book has fantastic, yet simple and easy to understand code examples. Read morePublished 2 months ago by Matthew Miller
If you are new to the world of GPU programming and CUDA works for what you want to do then this is a very good book to start with. Read morePublished 6 months ago by Douglas R. Jones
CUDA programming is often recommended as the best place to start out when learning about programming GPU's. Read morePublished 8 months ago by M. Henri De Feraudy
Great book. Quickly impresses you. Easy to understand and written with lots of experience. Good book to have especially if you know C.Published 8 months ago by Metal Bug
This is how programming books should be. Anyone familiar with "Learning Python the Hard Way" will understand the benefits of walking you through lots of code and explaining... Read morePublished 13 months ago by Brad
Although this does not cover new features on the Kepler architecture, this is still the best introduction to CUDA programing available. Read morePublished 14 months ago by John Kapenga