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.
None of what I am writing is meant to discourage anyone from buying this book - I found it to be well worth it!
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 3 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 4 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 5 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 10 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 11 months ago by John Kapenga
As of today, this book is the easiest book to follow from all the CUDA books I've found. If you are new to CUDA development, this is it. Read morePublished 12 months ago by Steven B.
It is pretty simple and easy to follow for a beginner. The only thing I miss in this book is the actual GPU architecture, this book gives a more superficial explanation of... Read morePublished 13 months ago by priya
I don't regret buying this book because the contents are a very good tutorial on CUDA. That said, this is a unnecessarily hard to read book, and here's why:
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This book is not worth the paper it is written on. As others have commented, the code is cluttered and difficult to decipher. It is obviously written by "Software People". Read morePublished 15 months ago by J.I.M.