Cuda Programming Fundamentals
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CUDA Programming Fundamentals
"CUDA Programming Fundamentals" CUDA Programming Fundamentals is a comprehensive guide designed for engineers, researchers, and students seeking to master parallel computing with NVIDIA’s CUDA platform. Beginning with the foundational differences between CPU and GPU architectures, this book details the evolution of CUDA as a transformative technology in general-purpose GPU computing. Readers are equipped with practical instructions for setting up the CUDA development environment across major operating systems and are introduced to the full breadth of the CUDA ecosystem and compilation model, ensuring a robust understanding before diving into hands-on programming. The core chapters break down CUDA’s programming model, elucidating the principles behind threads, blocks, and grids, while offering thorough explanations of device functions, kernel launches, and synchronization techniques. The book delves deeply into CUDA’s intricate memory architecture, covering global, shared, constant, and unified memory, as well as efficient memory allocation for complex, multi-dimensional data. Best practices for performance tuning are highlighted, with guidance on profiling tools, optimizing memory access patterns, minimizing warp divergence, and maximizing throughput—crucial skills for building scalable, high-performance applications. Advancing beyond fundamental concepts, the text explores advanced patterns for algorithm design, asynchronous programming with streams and events, and the integration of CUDA with Python, OpenGL, and distributed systems. Real-world techniques for debugging, profiling, and error handling are covered alongside strategies for multi-GPU and hybrid computing environments. With in-depth discussions on numerical precision, security, and maintainability, CUDA Programming Fundamentals prepares readers to harness the power of modern GPU hardware while anticipating future trends and innovations in the field of accelerated computing.
Professional CUDA C Programming
Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA -- a parallel computing platform and programming model designed to ease the development of GPU programming -- fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes workable examples that demonstrate the development process, allowing readers to explore both the "hard" and "soft" aspects of GPU programming. Computing architectures are experiencing a fundamental shift toward scalable parallel computing motivated by application requirements in industry and science. This book demonstrates the challenges of efficiently utilizing compute resources at peak performance, presents modern techniques for tackling these challenges, while increasing accessibility for professionals who are not necessarily parallel programming experts. The CUDA programming model and tools empower developers to write high-performance applications on a scalable, parallel computing platform: the GPU. However, CUDA itself can be difficult to learn without extensive programming experience. Recognized CUDA authorities John Cheng, Max Grossman, and Ty McKercher guide readers through essential GPU programming skills and best practices in Professional CUDA C Programming, including: CUDA Programming Model GPU Execution Model GPU Memory model Streams, Event and Concurrency Multi-GPU Programming CUDA Domain-Specific Libraries Profiling and Performance Tuning The book makes complex CUDA concepts easy to understand for anyone with knowledge of basic software development with exercises designed to be both readable and high-performance. For the professional seeking entrance to parallel computing and the high-performance computing community, Professional CUDA C Programming is an invaluable resource, with the most current information available on the market.
CUDA Programming
'CUDA Programming' offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation.