Using GPU to shorten the match time of rule reasoning based on rete algorithm

Jin Yu Guo, Chipan Hwang, Mu Song Chen

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Usually, most of execution time of match-resolve-act reasoning cycle is spent in the matching phase. This issue has prevented the applicability of rule base systems. In this paper, the parallelism of α- and β-networks constructions in Rete algorithm have been realized on Graphics Processing Unit (GPU). It is possible to speed up the reasoning time 20 times faster than the current high performance multi-core processors. Furthermore, the parallel realization of Rete algorithm with GPU should be helpful on developing intelligent agents or data mining, using rule base systems.

原文English
主出版物標題Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面883-886
頁數4
ISBN(電子)9781509030712
DOIs
出版狀態Published - 2016 八月 16
事件2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016 - Xi'an, China
持續時間: 2016 七月 42016 七月 6

出版系列

名字Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016

Other

Other2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016
國家China
城市Xi'an
期間16-07-0416-07-06

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Control and Optimization

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