Nanowerk  August 17, 2022 Compute-in-memory (CIM) based on resistive random-access memory (RRAM) meets the energy demand on edge devices by performing AI computation directly within RRAM. Although efficiency, versatility and accuracy are all indispensable for broad adoption of the technology, the inter-related trade-offs among them cannot be addressed by isolated improvements on any single abstraction level of the design. By co-optimizing across all hierarchies of the design from algorithms and architecture to circuits and devices, a team of researchers in the US (Stanford University, UC San Diego, University of Notre Dame, Pittsburg University) has developed NeuRRAM—a RRAM-based CIM chip that […]