Name
Abstract | ||
|---|---|---|
With technology scaling, the variability of device parameters continues to increase. This impacts both the performance and the temperature profile of the die turning them into a statistical distribution. To the best of our knowledge, no one has considered the impact of the statistical thermal profile during statistical analysis of the propagation delay. We present a statistical static timing analysis (SSTA) tool which considers this interdependence and produces accurate timing estimation. Our average errors for mean and standard deviation are 0.95% and 3.5% respectively when compared against Monte Carlo simulation. This is a significant improvement over SSTA that assumes a deterministic power profile, whose mean and SD errors are 3.7% and 20.9% respectively. However, when considering >90% performance yield, our algorithm's accuracy improvement was not as significant when compared to the deterministic power case. Thus, if one is concerned with the runtime, a reasonable estimate of the performance yield can be obtained by assuming nominal power. Nevertheless, a full statistical analysis is necessary to achieve maximum accuracy.
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Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICCAD.2011.6105313 | ICCAD |
Keywords | Field | DocType |
statistical thermal profile,aware statistical static timing,performance yield,deterministic power case,nominal power,statistical analysis,full statistical analysis,temperature profile,statistical static timing analysis,deterministic power profile,statistical distribution,thermal,timing analysis,monte carlo simulation,standard deviation,thermal analysis,process variation,integrated circuit design,propagation delay | Monte Carlo method,Statistical static timing analysis,Propagation delay,Nominal power (photovoltaic),Computer science,Spice,Real-time computing,Electronic engineering,Integrated circuit design,Static timing analysis,Standard deviation | Conference |
ISSN | ISBN | Citations |
1933-7760 | 978-1-4577-1398-9 | 7 |
PageRank | References | Authors |
0.55 | 21 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Artem Rogachev | 1 | 18 | 2.29 |
| Lu Wan | 2 | 134 | 7.39 |
| Deming Chen | 3 | 1432 | 127.66 |