標題: A New Methodology for Noise Sensor Placement Based on Association Rule Mining
作者: Hung, Yu-Hsiang
Fang, Sheng-Hsin
Chen, Hung-Ming
Chen, Shen-Min
Lin, Chang-Tzu
Lee, Chia-Hsin
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: Noise sensor placement;Near threshold computing;Power integrity
公開日期: 1-Jan-2016
摘要: Due to near-threshold computing nowadays, voltage emergency is threatening our design margins very seriously. Noise sensors are inserted in order to prevent various integrity issues from happening during runtime. In this work, we use a new technique based on association rule mining to plan and place noise sensors. This new methodology can consider the miss rate (the probability of any node occurring voltage emergency without any detection by placed sensors) and simultaneously minimize the number of sensors utilized. The results show that our approach is very effective in converging the miss rate to zero by the least number of sensors. Compared with the state-of-the-art, we can reduce the number of sensors by half in benchmarks while the miss rate is comparable or even smaller than the prior work.
URI: http://dx.doi.org/10.1145/2902961.2902973
http://hdl.handle.net/11536/150668
DOI: 10.1145/2902961.2902973
期刊: 2016 INTERNATIONAL GREAT LAKES SYMPOSIUM ON VLSI (GLSVLSI)
起始頁: 81
結束頁: 86
Appears in Collections:Conferences Paper