Jong Hwan Ko

Dataflow-Preserving, Overhead-Free Weight Remapping for Fault-Tolerant ReRAM-Based In-Memory Computing

Resistive random-access memory (ReRAM)-based in-memory computing (IMC) systems provide high energy efficiency and storage density for deep neural network (DNN) acceleration, but stuck-at faults (SAFs) substantially degrade reliability. Weight remapping (WR) can mitigate SAFs; however, existing approaches either ignore...