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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kumar, J.A. Butler, K.M. Heesoo Kim Vasudevan, S. |
| Copyright Year | 2012 |
| Description | Author affiliation: Texas Instrum. Inc., Dallas, TX, USA (Butler, K.M.) || Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA (Kumar, J.A.; Heesoo Kim; Vasudevan, S.) |
| Abstract | In present day technology, the design of reliable systems must factor in temporal degradation due to aging effects such as Negative Bias Temperature Instability (NBTI). In this paper, we present a methodology to estimate delay degradation early at the Register Transfer Level (RTL). We statically analyze the RTL source code to determine signal correlations. We then determine probability distributions of RTL signals formally by using probabilistic model checking. Finally, we propagate these signal probabilities through delay macromodels and estimate the delay degradation. We demonstrate our methodology on several benchmarks RTL designs. We estimate the degradation with <;10% error and up to 18.2× speedup in runtime as compared to estimation using gate-level simulations. |
| Starting Page | 808 |
| Ending Page | 813 |
| File Size | 382763 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450311991 |
| ISSN | 0738100X |
| e-ISBN | 9781450311991 |
| DOI | 10.1145/2228360.2228506 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Association for Computing Machinery, Inc. (ACM) |
| Subject Keyword | Delay Logic gates Degradation Computational modeling Probabilistic logic Reliability Aging Static Analysis NBTI Statistical Analysis RTL |
| Content Type | Text |
| Resource Type | Article |
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