Name
Abstract | ||
|---|---|---|
Scaling the supply voltage (VDD) and threshold voltage (VTH) for minimizing the energy consumption of processors dynamically is highly desired for applications such as wireless sensor network and Internet of Things (IoT). In this paper, we refer to a pair of VDD and VTH, which minimizes the energy consumption of the processor for a given operating condition, as a minimum energy point (MEP in short). Since the MEP is heavily dependent on operating conditions such as an activity factor, temperature, and a performance required for the processor, it is not trivial to closely track the MEP at run-time. This paper proposes a method of autonomously tracking the MEP over a wide range of the operating condition exploiting all-digital on-chip sensors. A microprocessor chip designed with a 65 nm CMOS technology, which integrates multiple sensors on the same chip demonstrates that our method closely tracks the MEP over a wide range of the operating condition. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1166/jolpe.2018.1561 | JOURNAL OF LOW POWER ELECTRONICS |
Keywords | Field | DocType |
Minimum Energy Point Tracking (MEPT), Dynamic Voltage and Frequency Scaling (DVFS), Adaptive Body Biasing (ABB), Dynamic Energy Sensor, Leakage Sensor, Temperature Sensor | Electronic engineering,Engineering,Point tracking,Electrical engineering | Journal |
Volume | Issue | ISSN |
14 | 2 | 1546-1998 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shiomi, J. | 1 | 9 | 5.37 |
| Shu Hokimoto | 2 | 1 | 0.37 |
| Tohru Ishihara | 3 | 719 | 87.96 |
| Hidetoshi Onodera | 4 | 455 | 105.29 |