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Analytical Delay and Variation Modeling for Subthreshold Circuits
Sungil Kim and Vishwani D. Agrawal Auburn University Department of Electrical and Computer Engineering {szk0075, 3/2/2016
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Constraint on Power in Modern Electronics
Ultra Small Computer / Imager Biomedical Sensor /Monitoring Device Portable / Wearable Device For Low to Moderate Speed Systems: Power Consumption / Management >>> Performance 2
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Supply Voltage VDD vs. Power
PTM 16-nm LP Vth = 0.68V Drawback: PVT Variations - Process - Voltage - Temperature Ptotal∝ VDD2 3
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Scaling Down VDD Below Vth
Idea of Subthreshold Circuits: 1971 (Meindl and Swanson) Workability: 1900s – 2000s (Chandrakasan, Blaauw, Sylvester…) PTM 16-nm LP Vth = 0.68V Minimum Energy 4
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VDD Scaling Trend ADC: limits exist on VDD scaling, but trend is downward 5
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VDD Scaling from ISSCC Analog Trend
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Necessity of Delay Model and Challenges
Accurate delay model => better predict circuit behavior Set the operating region and process corners — essential for extreme environments — military applications (extreme temperature) Used for timing analysis and VLSI design stage Subthreshold Circuits pose challenges — susceptible to PVT (process, voltage, temp) variations — Isat exponentially depends on gate, threshold voltage — reduced Ion / Ioff => Alpha-power model is no longer accurate New delay model for the subthreshold is needed. 7
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Review of Alpha-Power MOSFET Model
T. Sakurai and A. Richard Newton 8
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Previous Research Overview
0 —> 1 Input F. Frustaci, P. Corsonello, and S. Perri, “Analytical delay model considering variability effects in subthreshold domain,” IEEE Trans. Circuits Syst. II, Exp. Briefs, vol. 59, no. 3, pp. 168–172, 2012. 9
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Proposed Subthreshold Delay Model
0 —> 1 Input 10
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Parameter Extraction for Alpha-Power MOSFET Model
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Alpha-Power Delay Model in Subthreshold Region
Proposed: Avg. Error ≈ 15% Max. Error ≈ 25% Alpha-Power Avg. Error ≈ 21% Max. Error ≈ 83% PTM 45-nm LP 0 —> 1 Input 12
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Alpha-Power Delay Model in Subthreshold Region
Max. Error ≈ 466% Proposed Max. Error ≈ 77% PTM 45-nm LP 1 —> 0 Input 13
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Simulation Results PTM 16-nm LP Error Alpha-power (red) Proposed
(green) Average 39.8% 16.5% Worst 71.1% 33.4% 14
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Novelty of Proposed Models
Delay Model Verify alpha-power MOSFET model in the subthrehsold region Show ~83% (0->1 input) and ~466% (1->0 input) error by simulating with PTM 45-nm LP model Unlike some of the previous models, consider DIBL effect Variations Model Adding compensation factors to increase the accuracy Simulate the proposed models over broader ranges of VDD Verify on smaller technology node (16-nm) that potentially have more variations than 130-nm or 45-nm models 15
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Proposed Voltage Variation Model
Compensation Factor 16
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Proposed Model Result (1): VDD Variation
PTM 16-nm LP Avg. Error = 14.6%, Max. Error = 79.1% 17
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Proposed Temperature Variation Model
Compensation Factor 18
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Proposed Model Result (2): Temp Variation
Avg. Error = 6.8%, Max. Error = 37.9% PTM 16-nm LP 19
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Proposed Process Variation Model
Mainly due to threshold voltage (Vth) variation 20
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Proposed Model Result (3): Vth Variation
PTM 16-nm LP Monte Carlo 1000 runs Avg. Error = 1%, Max. Error = 6% 21
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Effect of Compensation Factor
Carefully chosen from the results of previous research Error VDD Variation Temp Variation without with factor Average 27.4% 14.6% 62.1% 6.8% Best 0.4% 0.1% 20.2% Worst 131.7% 79.1% 87.5% 37.9% T. Lin, K.-S. Chong, B.-H. Gwee, J. S. Chang, and Z.-X. Qiu, “Analytical delay variation modelling for evaluating sub-threshold synchronous/asynchronous designs,” in Proc. IEEE Int. NEWCAS, Jun. 20–23, 2010, pp. 69–72. 22
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Summary Reviewed power-constrained electronics
Explored subthreshold circuit and its advantages Analyzed alpha-power law MOSFET model Review current state-of-the-art analytical delay model Verified delay model via simulation on PTM 45-nm / 16-nm Proposed delay variations models — process variation (Vth) — voltage variation (VDD) — temperature variation Verified models via simulation on PTM 16-nm LP technology — up to 4.31×, 1.29×, and 1.88× PVT variations 23
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Questions? Thank you!
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