%0 Conference Paper
%T A Clock-Independent, Time-Domain Rapid Calibration Method for Memristor-based Analog Computing AI Processors
%P 4123-4126
%W https://hdl.handle.net/1983/1f22e550-4fb9-4073-a84c-23c352aa8e59
%U https://ieeexplore.ieee.org/document/11562592
%X Memristor-based analog computing shows promising energy efficiency compared to digital counterparts. High- performance memristor-based AI processor has multi-level memristors, combined with the effect of device retention and ageing, the memristor readout system has tight readout margin to accurately determining the state of the memristor. Because the accuracy of the readout comparator determines the maximum accuracy the system can achieve. To address this, we proposed a high precision, clock-independent offset calibration scheme. The calibration scheme uses edge-triggered pulse-based calibration signal that makes the calibration accuracy independent of clock speed. The coarse-fine calibration steps are used to rapidly converge to minimum offset with high precision. A built-in digital calibration flag indicates the calibration status, that enables the synchronisation across arrays of comparators to facilitate scaling. The comparator is designed, laid out and simulated using 12 nm FinFET process. The comparator achieves average input voltage offset of 120 μV with 50 μV standard deviation after calibration, while the conventional method has the offset of 1.35 mV with standard deviation of 390 μV.
%B 2026 IEEE International Symposium on Circuits and Systems (ISCAS)
%A Chen, Junzhe
%A Schormans, Matthew
%A Que, Zhiqiang
%A Pamunuwa, Dinesh
%A Li, Jiayang
%D 2026-05
%K Accuracy
Arrays
Calibration
Capacitors
Charge pumps
Clocks
Conferences
Delays
Printing
Timing
analog computing
comparator calibration
memristor readout
publication