ISBN: 9798175780971 - modern gpu programming with c++ and cuda from scratch: a beginner-friendly guide to cuda programming, parallel computing, gpu architecture, ... programming mastery series, band 2) (5 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware - 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.\*\*.…

Paperback. Zustand: new. Paperback. 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.** This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Zustand: new. Paperback. 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.** This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …