SYSTEM FOR A FLEXIBLE CONDUCTANCE CROSSBAR

Systems are provided for implementing a hybrid resistor-memristor crossbar array, which allows for flexible conductance to be used in implementing the weight matrix of a neural network. The hybrid resistor-memristor crossbar array may include resistor crossbars, each resistor having a static conductance value. The hybrid resistor-memristor crossbar array may also have a memristor coupled to an output line associated with the resistor crossbar array, wherein the memristor has a variable conductance value, and further wherein the static conductance values and the variable conductance value are set to calculate a matrix-vector multiplication associated with a weight matrix of a neural network. An expected range of coefficients for a weight matrix of a neural network can be given by the Discrete Transform Cosine (DCT). Accordingly, the static conductance values of the resistors in the resistors crossbar array are set to values equal to known coefficients of the DCT.