GPU Programming in MATLAB

GPU Programming in MATLAB

作者: Nikolaos Ploskas Nikolaos Samaras
出版社: Morgan Kaufmann
出版在: 2016-08-05
ISBN-13: 9780128051320
ISBN-10: 0128051329
裝訂格式: Paperback
總頁數: 318 頁





內容描述


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 the Parallel Computing Toolbox and other MATLAB toolboxes 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.Provides in-depth, comprehensive coverage of GPUs with MATLAB, including the parallel computing toolbox and built-in features for other MATLAB toolboxesExplains how to accelerate computationally heavy applications in MATLAB without the need to re-write them in another language Presents case studies illustrating key concepts across multiple fieldsIncludes source code, sample datasets, and lecture slides




相關書籍

Hands-On Automated Machine Learning: A beginner's guide to building automated machine learning systems using AutoML and Python

作者 Sibanjan Das Umit Mert Cakmak

2016-08-05

Practical Programming: An Introduction to Computer Science Using Python 3.6

作者 Paul Gries Jennifer Campbell Jason Montojo

2016-08-05

Python for Devops: Learn Ruthlessly Effective Automation

作者 Gift Noah Behrman Kennedy Deza Alfredo

2016-08-05