An Integrated Photorefractive Analog Matrix-Vector Multiplier for Machine Learning
Elger A. Vlieg, Lucas Talandier, R. Dangel, Folkert Horst, Bert Jan Offrein
Abstract
AI is fueling explosive growth in compute demand that traditional digital chip architectures cannot keep up with. Analog crossbar arrays enable power efficient synaptic signal processing with linear scaling on neural network size. We present a photonic photorefractive crossbar array for neural network training and inference on local analog memory. We discuss the concept and present results based on the first prototype hardware.
Topics & Concepts
Crossbar switchComputer sciencePhotorefractive effectArtificial neural networkMultiplier (economics)Electronic engineeringComputer hardwareArtificial intelligenceComputer engineeringEngineeringMaterials scienceTelecommunicationsMacroeconomicsEconomicsOptoelectronicsNeural Networks and Reservoir ComputingPhotonic and Optical DevicesAdvanced Memory and Neural Computing