Modern GPU Programming with C++ and CUDA from Scratch: A Beginner-Friendly Guide to Programming, Parallel Computing, Architecture, Performance Engineering, Real-World Applications

Modern applications increasingly require massive amounts of computational power. GPU programming provides a powerful way to accelerate demanding workloads through parallel processing. **Modern GPU Programming with C++ and CUDA from Scratch** offers a practical, beginner-friendly introduction to GPU programming with modern C++ and NVIDIA CUDA. Inside, you'll learn how to: * Understand parallel computing and GPU architecture * Set up a CUDA development environment * Write and execute CUDA kernels * Work with threads, blocks, grids, and GPU memory * Build parallel algorithms with C++ * Use shared memory and asynchronous execution * Profile and optimize GPU applications * Identify and improve performance bottlenecks * Understand multi-GPU programming >Whether you're a C++ developer, software engineer, AI practitioner, researcher, or aspiring GPU programmer, this book provides a practical foundation for getting started with CUDA and high-performance computing. By the end, you'll understand the core principles of GPU programming and have the skills needed to begin building and optimizing your own CUDA applications. **Learn parallel computing. Harness GPU power. Build high-performance applications.**