Spin based neuron-synapse module for ultra low power programmable computational networks

A spin-CMOS hybrid design for neural network is presented. We employ spin torque switched nano-magnets for realizing ultra low power, high speed neuron and domain wall magnets for compact, programmable synapses. The spin based neuron-synapse units operate locally at ultra low supply voltage of 30 mV resulting in low computation power. CMOS based longer distance, inter neuron communication achieves high integration. We corroborate circuit operation with physics based models developed for the spin devices. Simulation results for a benchmark application shows 95% improvement in power consumption as compared to 45 nm CMOS design.