Professional CUDA C Programming - John Cheng - [PDF][N27]

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Description

Professional CUDA C Programming by John Cheng,
Max Grossman, Ty McKercher

English | PDF | ISBN-10: 1118739329 | ISBN-13: 978-1118739327

September 9, 2014 | Wrox

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Computers & Technology, Programming, Parallel Programming

CONTENTS

Cover
Title Page
Copyright
Contents
1 Heterogeneous Parallel Computing with CUDA
2 CUDA Programming Model
3 CUDA Execution Model
4 Global Memory
5 Shared Memory and Constant Memory
6 Streams and Concurrency
7 Tuning Instruction-Level Primitives
8 GPU-Accelerated CUDA Libraries and OpenACC
9 Multi-GPU Programming
10 Implementation Considerations
Appendix: Suggested Readings
Index
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Excerpt:
WHO THIS BOOK IS FOR

This book is for anyone who wants to leverage the power of GPU computing to accelerate applications. It covers the most up-to-date technologies in CUDA C programming, with a focus on:
-Concise style
-Straightforward approach
-Illustrative description
-Extensive examples
-Deliberately designed exercises
-Comprehensive coverage
-Content well-focused for the needs of high-performance computing

If you are an experienced C programmer who wants to add high-performance computing to your repertoire by learning CUDA C, the examples and exercises in the book will build on your exist- ing knowledge so as to simplify mastering CUDA C programming. Using just a handful of CUDA extensions to C, you can bene t from the power of massively parallel hardware. The CUDA plat- form, programming models, tools, and libraries make programming heterogeneous architectures straightforward and immediately rewarding.

If you are a professional with domain expertise outside of computer science who wants to quickly get up to speed with parallel programming on GPUs, maximize your productivity, and enhance the performance of your applications, you have picked the right book. The clear and concise explanations in this book, supported by well-designed examples and guided by a profile driven approach, will help you gain insight into GPU programming and quickly become proficient with CUDA.

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Professional CUDA C Programming - John Cheng - [PDF][N27]