Accelerated GPU computing technology for parallel management systems

Author

Cui, Feng ; Cheng, Changjian ; Wang, Feiyue ; Wei, Wei ; Li, Lefei ; Zou, Yumin

Author_Institution

Key Lab. of Complex Syst. & Intell. Sci., Inst. of Autom. Chinese Acad. of Sci., Beijing, China

fYear

2010

Firstpage

5343

Lastpage

5347

Abstract

GPU (Graphic Processing Unit) has the feature of a strong floating-point computing capability, suitable for large-scale intensive computing. This paper applies GPU acceleration technology for the parallel management of complex production system, focusing on the computing of human behavior based on fuzzy logic and equipment safety assessment of Monte Carlo algorithm. The implementation process of the GPU parallel computing on two kinds of algorithms are discussed in detail and the optimization method is proposed. With the experimental comparison, the accelerated calculation of GPU relative to CPU achieves a 47-fold.

Keywords

Monte Carlo methods; computer graphic equipment; fuzzy logic; optimisation; parallel processing; production engineering computing; safety systems; Monte Carlo algorithm; accelerated GPU computing technology; complex production system; equipment safety assessment; floating-point computing; fuzzy logic; graphic processing unit; large-scale intensive computing; optimization; parallel management systems; Acceleration; Central Processing Unit; Graphics processing unit; Instruction sets; Kernel; Monte Carlo methods; Nickel; Complex production system; Fuzzy logic; GPU parallel computing; Monte Carlo method; Parallel management;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2010 8th World Congress on

Conference_Location

Jinan

Print_ISBN

978-1-4244-6712-9

Type

conf

DOI

10.1109/WCICA.2010.5554804

Filename

5554804