Small-Noise is All You Need: Fast and Precise Estimation of Compute-in-Memory Accuracy Loss

A fast and precise method for estimating the accuracy loss that analog compute-in-memory noise causes in deep neural network inference.

This work is currently under submission. A preprint is not yet public — please get in touch if you would like to know more.