The Cuda Handbook: A Comprehensive Guide to GPU Programming - Nicholas Wilt

. .

Résumé :
The book will be mostly reference and part cookbook. Careful descriptions of the hardware and software abstractions, best practices, and example source code will be included. Much of the source code will come in the form of reusable G??microbenchmarksG?? or G??microdemosG?? designed to expose specific hardware characteristics or highlight specific use cases. Best practices will be discussed and accompanied with source code. One idea that will be emphasized is the G??EERS PrincipleG?? (Empirical Evidence Reigns Supreme): determining the fastest way to perform a given operation is best done empirically.

Biographie:
Nicholas Wilt has been programming computers professionally for more than twenty-five years in a variety of areas, including industrial machine vision, graphics, and low-level multimedia software. While at Microsoft, he served as the development lead for Direct3D 5.0 and 6.0, built the prototype for the Desktop Window Manager, and did early GPU computing work. At NVIDIA, he worked on CUDA from the beginning, designing and often doing the first implementations of most of CUDA's low-level abstractions. Now at Amazon, Mr. Wilt is working in cloud computing technologies relating to GPUs.

Sommaire:
Preface Acknowledgments About the Author Chapter 1: Background Chapter 2: Hardware Architecture Chapter 3: Software Architecture Chapter 4: Software Environment Chapter 5: Memory Chapter 6: Streams and Events Chapter 7: Kernel Execution Chapter 8: Streaming Multiprocessors Chapter 9: Multiple GPUs Chapter 10: Texturing Chapter 11: Streaming Workloads Chapter 12: Reduction Chapter 13: Scan Chapter 14: N-Body Chapter 15: Image Processing: Normalized Correlation Appendix A: The CUDA Handbook Library Glossary