Research and Comparison of CUDA GPU Programming in MATLAB and Mathematica

被引：4

作者：

Liu, Xiongwei ^{[1
]}

Cheng, Lizhi ^{[1
]}

Zhou, Qun ^{[2
]}

机构：

[1] Natl Univ Def Technol, Coll Sci, Dept Math & Syst Sci, Changsha, Hunan, Peoples R China

[2] Hunan Int Econ Univ, Sch Informat Sci & Engn, Changsha, Hunan, Peoples R China

来源：

PROCEEDINGS OF 2013 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT AUTOMATION & INTELLIGENT TECHNOLOGY AND SYSTEMS | 2013年 / 255卷

关键词：

GPU; CUDA; Mathematica; MATLAB; Matrix multiplication;

D O I：

10.1007/978-3-642-38460-8_28

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper discusses and analyzes the reasons of fast development of GPU computing, CUDA-enabled GPU programming model, direct matrix multiplication algorithms based on CPU and CUDA-enabled GPU. In three different environments of VC++2008, Matlab 2009b and Mathematica 8, for matrices of different dimensions, we compare execution efficiency by means of runtime. For research and study, GPU Computing in mathematica software systems provides a good choice because of their advantages of low cost, ease of use, high efficiency.

引用

页码：251 / 257

页数：7