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GPU programming and optimization
The development of Graphics Processing Units (GPUs) has dramatically changed the landscape of high-performance computing. GPUs are now capable of processing vast amounts of data in parallel, making them a key technology for a wide range of scientific, engineering, and industrial applications.
As a result, GPU programming has become a critical skill for software developers, researchers, and data scientists. But programming GPUs can be challenging, as the architecture and programming models of GPUs are significantly different from those of traditional CPUs.
This book on GPU programming and optimization is designed to help you master the art of GPU programming. It covers the basics of GPU architecture, programming models, and optimization techniques, and provides a comprehensive guide to writing efficient and scalable GPU code.
With a focus on hands-on examples and real-world applications, this book will help you gain a deep understanding of GPU programming and optimization, and enable you to write high-performance GPU code for your own applications. Whether you are a software developer, researcher, or data scientist, this book will provide you with the knowledge and skills you need to succeed in the rapidly-evolving field of GPU programming.
As a result, GPU programming has become a critical skill for software developers, researchers, and data scientists. But programming GPUs can be challenging, as the architecture and programming models of GPUs are significantly different from those of traditional CPUs.
This book on GPU programming and optimization is designed to help you master the art of GPU programming. It covers the basics of GPU architecture, programming models, and optimization techniques, and provides a comprehensive guide to writing efficient and scalable GPU code.
With a focus on hands-on examples and real-world applications, this book will help you gain a deep understanding of GPU programming and optimization, and enable you to write high-performance GPU code for your own applications. Whether you are a software developer, researcher, or data scientist, this book will provide you with the knowledge and skills you need to succeed in the rapidly-evolving field of GPU programming.
63 pages, Kindle Edition
Published February 8, 2023
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