C++ High-Performance Computing Parallel Programming, Multithreading, and GPU Acceleration with CUDA and --OpenMP

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Free Download C++ High-Performance Computing: Parallel Programming, Multithreading, and GPU Acceleration with CUDA and -OpenMP
English | September 27, 2025 | ASIN: B0FT1S2ZHY | 803 pages | Epub | 3.30 MB
Master the art of C++ High-Performance Computing with this practical, project-driven guide. Inside, you'll learn how to build blazing-fast applications using parallel programming , multithreading , and GPU acceleration with CUDA and OpenMP . Each chapter is focused, balanced, and ends with a hands-on project so you can apply what you learn immediately. Here's a quick look at what's inside: Set up a high-performance development environment and learn compiler optimizations, benchmarking, and profiling. Master core parallel programming concepts including concurrency, shared vs. distributed memory, and multithreading with the C++ Standard Library. Accelerate your code with OpenMP and CUDA through real-world projects like parallel matrix multiplication and GPU vector addition. Optimize memory and cache layouts for both CPU and GPU, and debug common race conditions with the best tools available. Build hybrid CPU-GPU applications that combine OpenMP, CUDA, and modern C++ features like the Parallel STL and Coroutines. Tackle real-world projects including financial modeling, image processing, Monte Carlo simulations, and machine learning acceleration. Deploy and profile your HPC apps to clusters or cloud environments, while learning energy-efficient, sustainable HPC practices. Whether you're a student, professional developer, or researcher, this book gives you the skills to write fast, scalable, and future-proof HPC applications in C++ .



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