Advances of embedded resistive random access memory in industrial manufacturing and its potential applications
Zijian Wang, Yixian Song, Guobin Zhang, Q. Luo, Kai‐Da Xu, Dawei Gao, Bin Yu, Desmond K. Loke, Shuai Zhong, Yishu Zhang
Abstract
Highlights Below are the highlights of this review: This paper explores embedded RRAM development, parameters, and integration tech compatible with CMOS, highlighting advantages in embedded systems and its potential impact on chip process nodes. This paper introduces recent industry developments in embedded RRAM, featuring research from companies like Intel and TSMC, showcasing significant commercial application potential. This paper discusses embedded RRAM’s progress beyond storage, exploring potential applications in FPGA, MCU, CIM, and Neuromorphic Computing, along with challenges and future prospects.
Topics & Concepts
Resistive random-access memoryNeuromorphic engineeringEmbedded systemMicrocontrollerComputer scienceField-programmable gate arrayProcess (computing)EngineeringComputer architectureManufacturing engineeringElectrical engineeringOperating systemArtificial intelligenceArtificial neural networkVoltageAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesNeuroscience and Neural Engineering