GPU Programming in MATLAB

GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. The book starts with coverage of Parallel Computing Toolbox, Communications Toolbox, Phased Array System Toolbox, Image Processing Toolbox, Signal Processing Toolbox, Deep Learning Toolbox, and Statistics and Machine Learning Toolbox for GPU computing, which allow applications to be ported straightforwardly onto GPUs without extensive knowledge of GPU programming. The next part covers built-in, GPU-enabled features of MATLAB, including options to leverage GPUs across multicore or different computer systems. Finally, advanced material includes CUDA code in MATLAB and optimizing existing GPU applications. Throughout the book, examples and source codes illustrate every concept so that readers can immediately apply them to their own development.

Key Features

• Provides in-depth, comprehensive coverage of GPUs with MATLAB, including Parallel Computing Toolbox and built-in features for other MATLAB toolboxes
• Explains how to accelerate computationally heavy applications in MATLAB without the need to rewrite them in another language
• Presents case studies illustrating key concepts across multiple fields
• Includes source code, sample datasets, and lecture slides

This book is written for scientists working in MATLAB who wish to leverage GPUs, high performance computing engineers wishing to incorporate MATLAB, and students studying these topics.