Programming in Parallel with CUDA: A Practical Guide – Richard Ansorge

Programming in Parallel with CUDA: A Practical Guide Description

Programming in Parallel with CUDA: A Practical Guide by Richard Ansorge holds the author’s enthusiasm for and extensive experience with the development and use of computers to gather and analyze scientific data. These are just one of the few reasons that make this book considered a richer collection of examples than any other book on GPU computing that is comparable. By the end of this course, learners can build on a code base of examples and accompanying information that is available online for their own projects.

Here are what you will learn in this course:

• Introduction to GPU Kernels and Hardware
• Thinking and Coding in Parallel
• Warps and Cooperative Groups
• Parallel Stencils
• Textures
• Monte Carlo Applications
• Concurrency Using CUDA Streams and Events
• Application to PET Scanners
• Scaling Up
• Tools for Profiling and Debugging
• Tensor Cores