Efficient transformer adaptation for analog in-memory computing via low-rank adapters

Chen Li, Elena Ferro, Corey Lammie +3

Analog In-Memory Computing (AIMC) offers a promising solution to the von Neumann bottleneck. However, deploying transformer models on AIMC remains challenging due to their inherent…