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Programming in Parallel with CUDA: A Practical Guide
Programming in Parallel with CUDA: A Practical Guide
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- More about Programming in Parallel with CUDA: A Practical Guide
CUDA is now the dominant language used for programming GPUs, making it increasingly important in scientific and technical computing across the STEM community. This book offers an innovative text with a rich set of examples and a code base of examples and supporting material online.
Format: Hardback
Length: 395 pages
Publication date: 02 June 2022
Publisher: Cambridge University Press
CUDA has emerged as the dominant programming language for GPU (Graphics Processing Unit) development, heralding a remarkable era of hardware innovation. This breakthrough technology empowers users to leverage the power of desktop PCs for tasks that would have previously required a substantial cluster of computers or access to high-performance computing (HPC) facilities. Consequently, CUDA has gained increasing significance in scientific and technical computing across the entire STEM community, spanning from medical physics and financial modeling to big data applications and beyond.
In this groundbreaking book, the author, driven by a deep passion for computer technology and extensive experience in developing and utilizing computers for scientific data acquisition and analysis, has crafted an innovative and comprehensive guide to CUDA. Unlike any other comparable book on GPU computing, this text offers a wealth of examples that vividly illustrate its applications. Extensive attention has been paid to the C++ coding style, renowned for its compactness, elegance, and efficiency. An extensive code base of examples and supporting material is readily available online, empowering readers to build upon it for their own projects.
By leveraging CUDA, researchers and practitioners in the field of science and technology can unlock unprecedented performance and efficiency gains, enabling them to tackle complex problems and explore new frontiers of knowledge. This transformative technology has the potential to revolutionize the way we approach scientific computing, paving the way for groundbreaking discoveries and advancements in various industries. Whether you are a scientist, engineer, or data analyst, this book serves as a valuable resource for unlocking the full potential of GPU computing and advancing your research and development endeavors.
Weight: 1148g
Dimension: 184 x 261 x 28 (mm)
ISBN-13: 9781108479530
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