NDLI: Accelerated GPU computing technology for parallel management systems

Content Provider	IEEE Xplore Digital Library
Author	Feng Cui Changjian Cheng Feiyue Wang Wei Wei Lefei Li Yumin Zou
Copyright Year	2010
Description	Author affiliation: Sinopec Maoming Company, Guangdong, China (Yumin Zou) \|\| The Key Laboratory of Complex Systems and Intelligent Science, Institute of Automation Chinese Academy of Sciences, Beijing, China (Feng Cui; Changjian Cheng; Feiyue Wang; Wei Wei) \|\| Department of Industrial Engineering, Tsinghua University, Beijing, China (Lefei Li)
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.
Starting Page	5343
Ending Page	5347
File Size	582523
Page Count	5
File Format	PDF
ISBN	9781424467129
e-ISBN	9781424467129
DOI	10.1109/WCICA.2010.5554804
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics processing unit Central Processing Unit Kernel Instruction sets Acceleration Nickel Monte Carlo methods Monte Carlo method GPU parallel computing Parallel management Complex production system Fuzzy logic
Content Type	Text
Resource Type	Article

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