Modern GPU Programming with C++ and CUDA from Scratch: A Beginner-Friendly Guide to CUDA Programming, Parallel Computing, GPU Architecture, Performanc

By Leonard Westbrook

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
* Apply GPU techniques to real-world computational workloads

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.**

• Format: Paperback
• Language: English
• ISBN: B0HKG71XP6
• ISBN13: 9798175780971
• Release Date: September 2026
• Publisher: Independently Published
• Length: 190 Pages
• Weight: 0.85 lbs.
• Dimensions: 0.4" x 8.0" x 10.0"