CUDA programming : a developer's guide to parallel computing with GPUs
Cook, Shane.
CUDA programming : a developer's guide to parallel computing with GPUs - Amsterdam: Morgan Kaufmann (MK) Morgan Kaufmann (MK) is an imprint of Elsevier 2013 - xiv, 576p.
CUDA Programming: A Developer's Guide to Parallel Computing with GPUs by Shane Cook is an essential resource for developers looking to harness the immense power of GPU-based parallel computing. Published by Morgan Kaufmann, this comprehensive guide takes you through the fundamentals and advanced concepts of CUDA, NVIDIA's powerful parallel computing platform and programming model. Whether you are a seasoned software engineer or a newcomer to GPU programming, this book provides clear, practical insights into writing high-performance parallel code. It covers key topics such as GPU architecture, memory management, thread synchronisation, and optimisation techniques, making it an invaluable reference for anyone working in high-performance computing, scientific simulations, machine learning, or data processing. With real-world examples and hands-on exercises, this book equips you with the skills needed to unlock the full potential of modern GPUs and significantly accelerate your applications.
9780124159334
Computer programming.
Programming --multiprocessor computing.
Compute Unified Device Architecture (CUDA)
005.275 COO-C
CUDA programming : a developer's guide to parallel computing with GPUs - Amsterdam: Morgan Kaufmann (MK) Morgan Kaufmann (MK) is an imprint of Elsevier 2013 - xiv, 576p.
CUDA Programming: A Developer's Guide to Parallel Computing with GPUs by Shane Cook is an essential resource for developers looking to harness the immense power of GPU-based parallel computing. Published by Morgan Kaufmann, this comprehensive guide takes you through the fundamentals and advanced concepts of CUDA, NVIDIA's powerful parallel computing platform and programming model. Whether you are a seasoned software engineer or a newcomer to GPU programming, this book provides clear, practical insights into writing high-performance parallel code. It covers key topics such as GPU architecture, memory management, thread synchronisation, and optimisation techniques, making it an invaluable reference for anyone working in high-performance computing, scientific simulations, machine learning, or data processing. With real-world examples and hands-on exercises, this book equips you with the skills needed to unlock the full potential of modern GPUs and significantly accelerate your applications.
9780124159334
Computer programming.
Programming --multiprocessor computing.
Compute Unified Device Architecture (CUDA)
005.275 COO-C