Nowadays, typical (memory) designers add design margins to compensate for uncertainties, however, this may be overestimated leading to yield loss, or underestimated leading to reduced reliability designs. Accurate quantification of all uncertainties is therefore critical to provide high quality and optimal designs. These uncertainties are caused by zero-time variability (due to process variability), and by run-time variability(due to environmental variabilities such as voltage and temperature, or due to temporal variability such as aging). This paper uses an accurate methodology to predict the impact of both zero-and run-time variability on the offset voltage of sense amplifiers while considering different workloads and PVT variations for a pre-defined failure rate. The results show a marginal impact of environmental run-time variability on the offset specification when considering zero-time variability only, while this becomes significant (up to 2X) when incorporating aging run-time variability. The results can be used to quantify whether the required offset voltage is met or not for the targeted lifetime, hence, enable the designer to take appropriate measures for an efficient and optimized design, depending on the targeted application lifetime.@en

This paper investigates the impact of aging in the read path of 32nm high performance SRAM; it combines the impact on the memory cell, on the sense amplifier, and on the way they interact. The analysis is done while considering different workloads and by inspecting both the bit-line swing (which reflect
the degradation of the cell) and the sensing delay (which reflects the degradation of the sense-amplifier); the voltage swing on the bit lines has a direct impact on the proper functionality of the sense amplifier. The results show that in addition to the sense amplifier degradation, the cell degradation also contributes to the sensing delay increase; the share of this contribution depends on the cell design. Moreover, this sensing delay becomes worst at
stressy workloads.@en