A matrix-vector multiplication device includes a memory crossbar array with row lines, column lines, and junctions. Each junction comprises a programmable resistive element and an access element. A signal generator is configured to apply programming signals to the resistive elements to program conductance values for the matrix-vector multiplication and a readout circuit is configured to apply read voltages to the row lines and to read out current values of the column lines. Control circuitry is configured to control the signal generator and the readout circuit and to select, via the access terminals, a plurality of resistive elements in parallel according to a predefined selection scheme which applies the signals and/or the read voltages in parallel to resistive elements which do not share the same row and column line and applies the programming signals and/or the read voltages to at most one resistive element per row line and column line.

Disclosed are systems and methods for performing efficient vector-matrix multiplication using a sparsely-connected conductance matrix and analog mixed signal (AMS) techniques. Metal electrodes are sparsely connected using coaxial nanowires. Each electrode can be used as an input/output node or neuron in a neural network layer. Neural network synapses are created by random connections provided by coaxial nanowires. A subset of the metal electrodes can be used to receive a vector of input voltages and the complementary subset of the metal electrodes can be used to read output currents. The output currents are the result of vector-matrix multiplication of the vector of input voltages with the sparsely-connected matrix of conductances.

Disclosed are systems and methods for performing efficient vector-matrix multiplication using a sparsely-connected conductance matrix and analog mixed signal (AMS) techniques. Metal electrodes are sparsely connected using coaxial nanowires. Each electrode can be used as an input/output node or neuron in a neural network layer. Neural network synapses are created by random connections provided by coaxial nanowires. A subset of the metal electrodes can be used to receive a vector of input voltages and the complementary subset of the metal electrodes can be used to read output currents. The output currents are the result of vector-matrix multiplication of the vector of input voltages with the sparsely-connected matrix of conductances.

A multiplier has a pair of charge reservoirs. The pair of charge reservoirs are connected in series. A first charge movement device induces charge movement to or from the pair of charge reservoirs at a same rate. A second charge movement device induces charge movement to or from one of the pair of reservoirs, the rate of charge movement programmed to one of add or remove charges at a rate proportional to the first charge movement device. The first charge movement device loads a first charge into a first of the pair of charge reservoirs during a first cycle. The first charge movement device and the second charge movement device remove charges at a proportional rate from the pair of charge reservoirs during a second cycle until the first of the pair of charge reservoirs is depleted of the first charge. The second charge reservoir thereafter holding the multiplied result.

In one example in accordance with the present disclosure a resistive memory array is described. The array includes a number of resistive memory elements to receive a common-valued read signal. The array also includes a number of multiplication engines to perform a multiply operation by receiving a memory element output from a corresponding resistive memory element, receiving an input signal, and generating a multiplication output based on a received memory element output and a received input signal. The array also includes an accumulation engine to sum multiplication outputs from the number of multiplication engines.

In one example in accordance with the present disclosure a resistive memory array is described. The array includes a number of resistive memory elements to receive a common-valued read signal. The array also includes a number of multiplication engines to perform a multiply operation by receiving a memory element output from a corresponding resistive memory element, receiving an input signal, and generating a multiplication output based on a received memory element output and a received input signal. The array also includes an accumulation engine to sum multiplication outputs from the number of multiplication engines.

A power control circuit comprising a power supply and a load, the load being synthesized from an impedance synthesizer comprising two-terminal impedance elements connected in series and grouped in impedance modules. The impedance elements in each impedance module are of equal value, while those between the modules bear ratios uniquely defined according to the numbers of impedance elements in the impedance modules. A number of switches associated with said impedance elements short out a selected number of the impedance elements under the control of a first analog signal which may be preprocessed by an analytic function. The analog signal is converted to digital signals by an analog-to-digital converter, then level shifted to control the switches associated with the impedance elements, whereby the amount of power delivered to the load is controllable by the first analog signal. Pulse-width-modulation is deployed to further control the power by a second analog signal, with additional benefit of overload protection.

A method of operation of a semiconductor device that includes the steps of coupling each of a plurality of digital inputs to a corresponding row of non-volatile memory (NVM) cells that stores an individual weight, initiating a read operation based on a digital value of a first bit of the plurality of digital inputs, accumulating along a first bit-line coupling a first array column weighted bit-line current, in which the weighted bit-line current corresponds to a product of the individual weight stored therein and the digital value of the first bit, and converting and scaling, an accumulated weighted bit-line current of the first column, into a scaled charge of the first bit in relation to a significance of the first bit.

In one example in accordance with the present disclosure a resistive memory array is described. The array includes a number of resistive memory elements to receive a common-valued read signal. The array also includes a number of multiplication engines to perform a multiply operation by receiving a memory element output from a corresponding resistive memory element, receiving an input signal, and generating a multiplication output based on a received memory element output and a received input signal. The array also includes an accumulation engine to sum multiplication outputs from the number of multiplication engines.

An interface circuit includes an integrator circuit and a buffer circuit. The integrator circuit is configured to be electrically coupled to a column of memory cells, receive a signal corresponding to a sum of currents flowing through the memory cells of the column, and integrate the signal over time to generate an intermediate voltage. The buffer circuit is electrically coupled to an output of the integrator circuit to receive the intermediate voltage, and is configured to be electrically coupled to a row of further memory cells, generate an analog voltage corresponding to the intermediate voltage, and output the analog voltage to the further memory cells of the row.