2 papers
cs.AR2026
VeRA+: Vector-Based Lightweight Digital Compensation for Drift-Resilient RRAM In-Memory Computing
Weirong Dong, Kai Zhou, Zhen Kong +8
RRAM-based in-memory computing (IMC) offers high energy efficiency but suffers from conductance drift that severely degrades long-term accuracy. Existing approaches including retra…
cs.AR2025
Efficient Calibration for RRAM-based In-Memory Computing using DoRA
Weirong Dong, Kai Zhou, Zhen Kong +5
Resistive In-Memory Computing (RIMC) offers ultra-efficient computation for edge AI but faces accuracy degradation due to RRAM conductance drift over time. Traditional retraining m…