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 A: The CUDA Driver API and Runtime Compilation Appendix B: Parallel Thread Execution (PTX) All example code is freely available for download: Windows : https://github.com/mattscar/cuda-book-win - Linux : https://github.com/mattscar/cuda-book-gnu