Topic analysis

CUDA Books

A curated list of every major book on CUDA programming — beginner to advanced, C++/Python, architecture, optimization, and the latest 2024–2026 releases. Focused on practical, high-quality resources for NVIDIA GPU parallel computing. Last updated: May 2026 Contributions welcome! See Contributing . CUDA by Example: An Introduction to General-Purpose GPU Programming Jason Sanders & Edward Kandrot (2010, Addison-Wesley) The timeless classic. Short, example-driven, perfect first book. Learn CUDA Programming Jaegeun Han & Bharatkumar Sharma (2019, Packt) Modern beginner-to-intermediate with CUDA 10+ examples and GitHub repo. CUDA for Engineers: An Introduction to High-Performance Parallel Computing Mete Yurtoglu & Duane Storti (2016, Addison-Wesley) Engineer-focused, hands-on projects for scientists and non-CS folks. Programming in Parallel with CUDA: A Practical Guide Richard Ansorge (2022, Cambridge University Press) Real-world scientific examples (stencils, Monte Carlo, imaging). Excellent modern C++ coverage. Professional CUDA C Programming John Cheng, Max Grossman & Ty McKercher (2014, Wrox) Production-level: multi-GPU, streams, libraries, and performance pitfalls. GPU Parallel Program Development Using CUDA Tolga Soyata (2018, Chapman & Hall/CRC) Strong on libraries (cuBLAS, cuFFT, Thrust, NPP) and OpenCL comparison. The CUDA Handbook: A Comprehensive Guide to GPU Programming Nicholas Wilt (2013) The deep-dive reference. Every API detail and low-level trick. CUDA Programming: A Developer's Guide to Parallel Computing with GPUs Shane Cook (2013, Morgan Kaufmann) Parallel algorithms, optimization patterns, and best practices. CUDA Application Design and Development Rob Farber (2011, Morgan Kaufmann) Real research applications and scalable design. Hands-On GPU Programming with Python and CUDA Brian Tuomanen (2018, Packt) Best for Python users — Numba, CuPy, and raw bindings. GPU Programming with C++ and CUDA (or 9781805128823 variant) Paulo Motta (2024, Packt) Modern C++20 + Python interop (pybind11). Notable 2024–2026 titles (mostly specialized or self-published but frequently appearing in searches): Pro tip: CUDA changes fast. Always pair books with the free official CUDA C++ Programming Guide (v13.x, 2026) . Star the repo if this helps you write faster kernels! 🚀 Fully expanded after a full web search — this is now the most complete public CUDA books list.