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 & programming model designed to ease the development of GPU programming -- fundamentals in an easy-to-follow format & teaches readers how to think in parallel & implement parallel algorithms on GPUs Each chapter covers a specific topic &

Includes:: workable examples that demonstrate the development process allowing readers to explore both the "hard" & "soft" aspects of GPU programming Computing architectures are experiencing a fundamental shift toward scalable parallel computing motivated by application requirements in industry & 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 & 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 & Ty Mc Kercher guide readers through essential GPU programming skills & best practices in Professional CUDA C Programming including CUDA Programming Model GPU Execution Model GPU Memory model Streams Event & Concurrency Multi-GPU Programming CUDA Domain-Specific Libraries Profiling & 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 & high-performance For the professional seeking entrance to parallel computing & the high-performance computing community Professional CUDA C Programming is an invaluable resource with the most current information available on the market

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