What do you think?
Rate this book
CUDA 13: High-Performance Computation and Graphics
Unlock high‑performance computing with CUDA 13
Nvidia's GPUs offer a stunning amount of computational power, but harnessing that power requires the right tools. Whether you're crunching numbers, filtering images, or rendering graphics, CUDA will help you dramatically improve performance. Any programmer familiar with C or C++ can use CUDA to tackle today’s hardest computational problems.
CUDA 13 explores the latest version of CUDA, and shows how to write applications that leverage this incredible toolset. This book walks through the entire development process, from installing the toolkit to compiling, linking, and debugging applications. The twenty-nine example projects cover a vast range of topics, including matrix operations, frequency analysis, image filtering, and three-dimensional rendering.
Matthew Scarpino has been an author, programmer, and engineer for over twenty years. GPU programming is one of his favorite topics, and he's the author of The WebGPU Sourcebook and OpenCL in Action.
Table of Contents
Chapter 1: Introduction
Chapter 2: The CUDA Toolkit
Chapter 3: Programming Fundamentals
Chapter 4: Kernel Development
Chapter 5: Advanced Development Topics
Chapter 6: Accelerating Linear Algebra with cuBLAS
Chapter 7: Solving Systems of Equations with cuSOLVER and cuDSS
Chapter 8: Frequency Analysis with cuFFT
Chapter 9: Processing Images with NPPI
Chapter 10: Graphical Rendering with OpenGL
Chapter 11: CUDA-OpenGL Interoperability
Chapter 12: Processing Textures and Surfaces
Appendix The CUDA Driver API and Runtime Compilation
Appendix Parallel Thread Execution (PTX)All example code is freely available for
Windows: Linux:
Nvidia's GPUs offer a stunning amount of computational power, but harnessing that power requires the right tools. Whether you're crunching numbers, filtering images, or rendering graphics, CUDA will help you dramatically improve performance. Any programmer familiar with C or C++ can use CUDA to tackle today’s hardest computational problems.
CUDA 13 explores the latest version of CUDA, and shows how to write applications that leverage this incredible toolset. This book walks through the entire development process, from installing the toolkit to compiling, linking, and debugging applications. The twenty-nine example projects cover a vast range of topics, including matrix operations, frequency analysis, image filtering, and three-dimensional rendering.
Matthew Scarpino has been an author, programmer, and engineer for over twenty years. GPU programming is one of his favorite topics, and he's the author of The WebGPU Sourcebook and OpenCL in Action.
Table of Contents
Chapter 1: Introduction
Chapter 2: The CUDA Toolkit
Chapter 3: Programming Fundamentals
Chapter 4: Kernel Development
Chapter 5: Advanced Development Topics
Chapter 6: Accelerating Linear Algebra with cuBLAS
Chapter 7: Solving Systems of Equations with cuSOLVER and cuDSS
Chapter 8: Frequency Analysis with cuFFT
Chapter 9: Processing Images with NPPI
Chapter 10: Graphical Rendering with OpenGL
Chapter 11: CUDA-OpenGL Interoperability
Chapter 12: Processing Textures and Surfaces
Appendix The CUDA Driver API and Runtime Compilation
Appendix Parallel Thread Execution (PTX)All example code is freely available for
Windows: Linux:
553 pages, Kindle Edition
Published January 28, 2026
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
No one has reviewed this book yet.