Abstract
In this work we propose an optimal back plane biasing (OBB) scheme to be used in a UTBB FD SOI technology that minimizes the energy per operation consumption of sub threshold digital CMOS circuits. By using this OBB biasing scheme, simulations show that around 30% energy savings can be obtained with low threshold voltage (LVT) devices in comparison with classic symmetric back plane biasing (SBB) schemes. Additionally, this OBB scheme allows to adjust the performance of the circuit with very small energy penalties. A very simple and intuitive model, for sub threshold digital CMOS circuits, was developed to justify the benefits obtained by OBB. The results predicted by the model are confirmed with extensive simulation results. Finally, we show that the variability in the energy consumption is improved by using OBB and suggests that new sizing methodologies must be studied to fully benefit from the wide back plane voltage range available in UTBB FD SOI technology for the design of robust energy efficient digital circuits.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2016 26th International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 243-249 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781509007332 |
| DOIs | |
| Publication status | Published - 25 Jan 2017 |
| Externally published | Yes |
| Event | 26th International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS 2016 - Bremen, Germany Duration: 21 Sept 2016 → 23 Sept 2016 |
Publication series
| Name | Proceedings - 2016 26th International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS 2016 |
|---|
Conference
| Conference | 26th International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS 2016 |
|---|---|
| Country/Territory | Germany |
| City | Bremen |
| Period | 21/09/16 → 23/09/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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