Title :
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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554804
