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| Content Provider | ACM Digital Library |
|---|---|
| Author | Sun, Peng Luo, Rong |
| Abstract | In this paper, a comprehensive and fast method is presented for the timing analysis of process variations on single-walled carbon nanotube (SWCNT) bundles. Unlike previous works that based on SPICE tools to estimate the delay, this paper proposes a closed-form solution for SWCNT interconnect timing analysis. With the assumption that the process variations are independent random variables, the delay of SWCNT bundles are mapped to a linear function of the variation variables, and efficiently calculated in the form of probability density functions (PDFs). Compared to SPICE-based solutions, this approach not only saves considerable computation time, but also provides a more comprehensive result, for it shows a compound impact of all variations, and covers all of the potential cases with their corresponding probabilities, rather than only one parameter can vary at a time, and only a worst case estimation is considered. The experiment results show that this solution bears little loss while providing the above mentioned advantages. Compared with SPICE-based Monte Carlo simulations, the experiments report the error in mean and standard deviation of delay to be 1.5% and 1.7% respectively. |
| Starting Page | 19 |
| Ending Page | 26 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781605585765 |
| DOI | 10.1145/1572471.1572476 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2009-07-26 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Carbon nanotube Interconnect Closed-form Process variation Timing analysis |
| Content Type | Text |
| Resource Type | Article |
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