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Cuda by Example
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Table of Contents

  • Chapter 1: Why CUDA? Why Now?
  • Chapter 2: Getting Started
  • Chapter 3: Introduction to CUDA C
  • Chapter 4: Parallel Programming in CUDA C
  • Chapter 5: Thread Cooperation
  • Chapter 6: Constant Memory and Events
  • Chapter 7: Texture Memory
  • Chapter 8: Graphics Interoperability
  • Chapter 9: Atomics
  • Chapter 10: Streams
  • Chapter 11: CUDA C on Multiple GPUs
  • Chapter 12: The Final Countdown
  • Appendix A: Advanced Atomics
  • Index

About the Author

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.

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