A memory array arranged in multiple columns and rows. Computation circuits that each calculate a computation value from cell values in a corresponding column. A column multiplexer cycles through multiple data lines that each corresponds to a computation circuit. Cluster cycle management circuitry determines a number of multiplexer cycles based on a number of columns storing data of a compute cluster. A sensing circuit obtains the computation values from the computation circuits via the column multiplexer as the column multiplexer cycles through the data lines. The sensing circuit combines the obtained computation values over the determined number of multiplexer cycles. A first clock may initiate the multiplexer to cycle through its data lines for the determined number of multiplexer cycles, and a second clock may initiate each individual cycle. The multiplexer or additional circuitry may be utilized to modify the order in which data is written to the columns.

An analog computing method includes the steps of: (a) generating a biasing current (IWi) using a constant gm bias circuit operating in the subthreshold region for ultra-low power consumption, wherein gm is generated by PMOS or NMOS transistors, the circuit including a switched capacitor resistor; and (b) multiplying the biasing current by an input voltage using a differential amplifier multiplication circuit to generate an analog voltage output (VOi). In one or more embodiments, the method is used in a vision application, where the biasing current represents a weight in a convolution filter and the input voltage represents a pixel voltage of an acquired image.

An analog computing method includes the steps of: (a) generating a biasing current (IWi) using a constant gm bias circuit operating in the subthreshold region for ultra-low power consumption, wherein gm is generated by PMOS or NMOS transistors, the circuit including a switched capacitor resistor; and (b) multiplying the biasing current by an input voltage using a differential amplifier multiplication circuit to generate an analog voltage output (VOi). In one or more embodiments, the method is used in a vision application, where the biasing current represents a weight in a convolution filter and the input voltage represents a pixel voltage of an acquired image.

A method, system and electronic device for mitigating variance in a two transistor two resistive memory element (2T2R) circuit is provided. The method includes calculating a sum of a number of logical 1's in a column of bitcells in the 2T2R circuit, N, of an input vector, sensing output current values from each current line in the column of bitcells and calculating an inner product, M, of the input vector and the bitcells in the column in the 2T2R circuit based on the sensed output current values.

A method, system and electronic device for mitigating variance in a two transistor two resistive memory element (2T2R) circuit is provided. The method includes calculating a sum of a number of logical 1's in a column of bitcells in the 2T2R circuit, N, of an input vector, sensing output current values from each current line in the column of bitcells and calculating an inner product, M, of the input vector and the bitcells in the column in the 2T2R circuit based on the sensed output current values.

An energy-efficient multiplication circuit uses analog multipliers and adders to reduce the distance that data has to move and the number of times that the data has to be moved when performing matrix multiplications in the analog domain. The multiplication circuit is tailored to bitwise multiply the innermost product of a rearranged matrix formula generate a matrix multiplication result in form of a current that is then digitized for further processing.

An energy-efficient multiplication circuit uses analog multipliers and adders to reduce the distance that data has to move and the number of times that the data has to be moved when performing matrix multiplications in the analog domain. The multiplication circuit is tailored to bitwise multiply the innermost product of a rearranged matrix formula generate a matrix multiplication result in form of a current that is then digitized for further processing.

A memristor crossbar array (MCA) circuit includes an input processor configured to receive an input signal corresponding to a predetermined number of input values and to apply the input signal to memristors arranged along input lines, an MCA including the memristors having resistance values based on at least one transformation matrix including binary element values, and an outputter configured to output a frequency component intensity of the input signal based on a signal that is output from each of output lines on which the memristors are arranged, in response to the input signal being applied to the memristors.

A memristor crossbar array (MCA) circuit includes an input processor configured to receive an input signal corresponding to a predetermined number of input values and to apply the input signal to memristors arranged along input lines, an MCA including the memristors having resistance values based on at least one transformation matrix including binary element values, and an outputter configured to output a frequency component intensity of the input signal based on a signal that is output from each of output lines on which the memristors are arranged, in response to the input signal being applied to the memristors.

A circuit is provided. The circuit includes a sampling circuit connectable to a multibit memory array and that samples a voltage across a sampling capacitor, a capacitance network including a plurality of capacitors and switching elements such that the capacitance network has a capacitance that depends on the configuration of the switching elements, and a buffering circuit configured to charge the capacitance of the capacitance network based on the voltage across the sampling capacitor. The circuit is configured to operate the capacitance network in a first state and a second state, wherein the capacitance in the states depends on an input value to the circuit. The circuit is also configured to charge the capacitance network in the first state and to allow the charge to redistribute within the capacitance network when it changes from the first to the second state. A system and method including such circuits are also provided.