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Table of Contents

Target Audience

How to Use the Book

Illinois–NVIDIA GPU Teaching Kit

Online Supplements

Acknowledgements

Chapter 1. Introduction

1.1 Heterogeneous Parallel Computing

1.2 Architecture of a Modern GPU

1.3 Why More Speed or Parallelism?

1.4 Speeding Up Real Applications

1.5 Challenges in Parallel Programming

1.6 Parallel Programming Languages and Models

1.7 Overarching Goals

1.8 Organization of the Book

Chapter 2. Data parallel computing

2.1 Data Parallelism

2.2 CUDA C Program Structure

2.3 A Vector Addition Kernel

2.4 Device Global Memory and Data Transfer

2.5 Kernel Functions and Threading

2.6 Kernel Launch

Chapter 3. Scalable ...

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