Intrinsic Bounds for Computing Precision in Memristor-Based Vector-by-Matrix Multipliers

Analog computing with crossbars of memristors is a promising approach to build compact energy-efficient vector-by-matrix multiplier (VMM), a key block in many data-intensive algorithms. However, device non-linearity, process variations, interconnect parasitics, noise, and memory state drift limit the computing precision of such systems. In this article, we investigate the impact of such non-ideali...