Evaluation and mitigation of aging effects on a digital on-chip voltage and temperature sensor
Abstract
Power efficiency is a tremendous challenge for high performance embedded systems under energy constraints. Fine grain Dynamic Voltage and Frequency Scaling approaches are usually implemented in order to meet these conflicting objectives. Moreover, these techniques can be improved if local and on-the-fly monitoring of the dynamic variations is performed. A low-cost onchip general purpose sensor associated with an appropriate data fusion technique has been recently developed in order to monitor local temperature and voltage conditions. However, reliability has become a major concern as the technology scales below 40nm. The aging variation is not anymore negligible and must be taken into account during the monitor design and operation. This paper revisits such a sensor under both BTI and HCI aging effects in 28nm STMicroelectronics technology. A simple recalibration method is also proposed to mitigate the aging effects on the VT estimation.
Keywords
Aging of materials
Data fusion
Embedded systems
Human computer interaction
Integrated circuits
Sensor data fusion
Temperature
Voltage scaling
Conflicting objectives
Data fusion technique
Design and operations
Digital sensors
Dynamic variations
Low power architecture
STMicroelectronics
Voltage drop
Dynamic frequency scaling