Preference Utility algorithm using GPGPU architecture

Che Lun Hung, Hsiao Hsi Wang, Jieh Shan Yeh, Yu Chen Hu, Chun Yuan Lin, Yaw Ling Lin

研究成果: Conference contribution同行評審

摘要

Nowadays, with the explosive growth of the network technologies many new applications and services have been developed on Internet. World Wide Web can provide these services provided without the limitation of time and location. Obviously, the number of user is dramatically increasing from amount of the visitations of web pages. In our previous work, we proposed an algorithm to discover more significant information from visited web pages to provide this information to web designers or policy makers to adjust the presentation of their Web contents. However, this algorithm is time-consuming approach due to it needs to scan the whole database many times. Therefore, we propose a GPGPU-based Preference Utility algorithm to enhance the performance by GPGPU parallel model. The proposed algorithm is developed on NVIDIA CUDA architecture. The experimental results show that the proposed method can achieve about 7x times over CPU-based method. The proposed algorithm can used to mine the information from web log data efficiently.

原文English
主出版物標題2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings
頁面155-160
頁數6
DOIs
出版狀態Published - 2013
事件2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Niigata, Japan
持續時間: 16 6月 201320 6月 2013

出版系列

名字2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings

Conference

Conference2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013
國家/地區Japan
城市Niigata
期間16/06/1320/06/13

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