Efficient circuit simulation of a memristive crossbar array with synaptic weight variability

•Inference simulation of artificial neural network with memristive crossbar array.•Efficient circuit simulation including statistical variability of synaptic weights.•Noise Based Variability Approach delivers same results as Monte Carlo Simulation.•Statistical data for classification results within very short simulation times.•Including the impact of parasitic resistances and conductance levels on the result.