Parallel Tempering-Inspired Distributed Binary Optimization with In-Memory Computing

Xiangyi Zhang, Fabian Böhm, Fabian Böhm +8

In-memory computing (IMC) has been shown to be a promising approach for solving binary optimization problems while significantly reducing energy and latency. Building on the advant…