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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xakellis, M.G. Najm, F.N. |
| Copyright Year | 1994 |
| Description | Author affiliation: Coordinated Science Lab. & ECE Dept., University of Illinois at Urbana-Champaign, Urbana, IL (Xakellis, M.G.) |
| Abstract | Higher levels of integration have led to a generation of integrated circuits for which power dissipation and reliability are major design concerns. In CMOS circuits, both of these problems are directly related to the extent of circuit switching activity. The average number of transitions per second at a circuit node is a measure of switching activity that has been called the transition density. This paper presents a statistical simulation technique to estimate individual node transition densities. The strength of this approach is that the desired accuracy and confidence can be specified up-front by the user. Another key feature is the classification of nodes into two categories: regular- and low-density nodes. Regular-density nodes are certified with user-specified percentage error and confidence levels. Low-density nodes are certified with an absolute error, with the same confidence. This speeds convergence while sacrificing percentage accuracy only on nodes which contribute little to power dissipation and have few reliability problems. |
| Starting Page | 728 |
| Ending Page | 733 |
| File Size | 161949 |
| Page Count | 6 |
| File Format | |
| ISBN | 0897916530 |
| ISSN | 0738100X |
| DOI | 10.1109/DAC.1994.204196 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-06-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Association for Computing Machinery, Inc. (ACM) |
| Subject Keyword | Switching circuits Integrated circuit reliability Density measurement Circuit simulation Power dissipation Switches Digital circuits Microwave integrated circuits Integrated circuit measurements Very large scale integration |
| Content Type | Text |
| Resource Type | Article |
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