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Learn CUDA Programming: A beginner's guide to GPU programming and parallel computing with CUDA 10.x and C/C++. Code by Jaegeun Han, Bharatkumar Sharma is a nonfiction available to read on EtoBox.

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Code . Explore different GPU programming methods using libraries and directives, such as OpenACC, with extension to languages such as C, C++, and Python Key Features Learn parallel programming principles and practices and performance analysis in GPU computing Get to grips with distributed multi GPU programming and other approaches to GPU programming Understand how GPU acceleration in deep learning models can improve their performance Book Description Compute Unified Device Architecture (CUDA) is NVIDIA's GPU computing platform and application programming interface. It's designed to work with programming languages such as C, C++, and Python. With CUDA, you can leverage a GPU's parallel computing power for a range of high-performance computing applications in the fields of science, healthcare, and deep learning. Learn CUDA Programming will help you learn GPU parallel programming and understand its modern applications. In this book, you'll discover CUDA programming approaches for modern GPU architectures. You'll not only be guided through GPU features, tools, and APIs, you'll also learn how to analyze performance with sample parallel programming algorithms. This book w

Who reads Learn CUDA Programming: A beginner's guide to GPU programming and parallel computing with CUDA 10.x and C/C++. Code?

Author

Jaegeun Han, Bharatkumar Sharma

Publisher

Packt Publishing Limited

Published

2019

Language

EN

ISBN

9781788991292

Category

nonfiction

Subjects

Computer Science, Science, Language Learning