文件名称：GPU.Programming.in.MATLAB.0128051329
文件大小：34.8MB
文件格式：PDF
更新时间：2019-11-08 04:59:24
MATLAB GPU Programming
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 toolboxes Explains 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 fields Includes source code, sample datasets, and lecture slides Table of Contents Chapter 1: Introduction Chapter 2: Getting started Chapter 3: Parallel Computing Toolbox Chapter 4: Introduction to GPU programming in MATLAB Chapter 5: GPU programming on MATLAB toolboxes Chapter 6: Multiple GPUs Chapter 7: Run CUDA or PTX code Chapter 8: MATLAB MEX functions containing CUDA code Chapter 9: CUDA-accelerated libraries Chapter 10: Profiling code and improving GPU performance