Details
Original language | English |
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Title of host publication | 2006 IEEE International Conference on Integrated Circuit Design and Technology, ICICDT'06 |
Publisher | IEEE Computer Society |
ISBN (print) | 1424400988, 9781424400980 |
Publication status | Published - 2006 |
Event | Integrated Circuit Design and Technology, 2006. ICICDT '06. 2006 IEEE International Conference - Padova, Italy Duration: 24 May 2006 → 26 May 2006 |
Abstract
For exploring the impact of manufacturing variation on interconnect characteristics, the basic Monte Carlo Method is accurate but computationally very expensive. To overcome the inherent speed limitation we developed an uncomplicated method employing the Importance Sampling technique. Using Confidence Intervals our results always take uncertainty into account. The application to a two dimensional interconnect model shows that our method is 23-93 times faster than the basic Monte Carlo Method.
ASJC Scopus subject areas
- Engineering(all)
- Electrical and Electronic Engineering
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2006 IEEE International Conference on Integrated Circuit Design and Technology, ICICDT'06. IEEE Computer Society, 2006. 1669415.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - A fast and accurate Monte Carlo method for interconnect variation
AU - Zhang, M.
AU - Olbrich, M.
AU - Kinzelbach, H.
AU - Seider, D.
AU - Barke, E.
PY - 2006
Y1 - 2006
N2 - For exploring the impact of manufacturing variation on interconnect characteristics, the basic Monte Carlo Method is accurate but computationally very expensive. To overcome the inherent speed limitation we developed an uncomplicated method employing the Importance Sampling technique. Using Confidence Intervals our results always take uncertainty into account. The application to a two dimensional interconnect model shows that our method is 23-93 times faster than the basic Monte Carlo Method.
AB - For exploring the impact of manufacturing variation on interconnect characteristics, the basic Monte Carlo Method is accurate but computationally very expensive. To overcome the inherent speed limitation we developed an uncomplicated method employing the Importance Sampling technique. Using Confidence Intervals our results always take uncertainty into account. The application to a two dimensional interconnect model shows that our method is 23-93 times faster than the basic Monte Carlo Method.
UR - http://www.scopus.com/inward/record.url?scp=42749108140&partnerID=8YFLogxK
U2 - 10.1109/icicdt.2006.220828
DO - 10.1109/icicdt.2006.220828
M3 - Conference contribution
AN - SCOPUS:42749108140
SN - 1424400988
SN - 9781424400980
BT - 2006 IEEE International Conference on Integrated Circuit Design and Technology, ICICDT'06
PB - IEEE Computer Society
T2 - Integrated Circuit Design and Technology, 2006. ICICDT '06. 2006 IEEE International Conference
Y2 - 24 May 2006 through 26 May 2006
ER -