Learn CUDA Programming: A beginner's guide to GPU programming and parallel computing with CUDA 10.x and C/C++
Learn CUDA Programming:
A beginner's guide to GPU programming and parallel computing with CUDA 10.x and C/C++
by Jaegeun Han
English | 2019 | ISBN: 1788996240 | 508 Pages | EPUB | 33.20 MB
A beginner's guide to GPU programming and parallel computing with CUDA 10.x and C/C++
by Jaegeun Han
English | 2019 | ISBN: 1788996240 | 508 Pages | EPUB | 33.20 MB
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 will help you optimize the performance of your apps by giving insights into CUDA programming platforms with various libraries, compiler directives (OpenACC), and other languages. As you progress, you'll learn how additional computing power can be generated using multiple GPUs in a box or in multiple boxes. Finally, you'll explore how CUDA accelerates deep learning algorithms, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).