The present disclosure relates to a circuit structure for in-memory computing. The circuit structure comprises a plurality of 8T SRAMs, four BLs, two WLs, and a direction configuration circuit. Each of the 8T SRAMs comprises two groups of read/write dual ports, two WL ports and two direction configuration ports. Data of first read/write port and second read/write port of each group of the read/write dual ports are inverse of each other. Each of the BLs is connected to a corresponding processor, and is connected to a read/write port of a corresponding read/write dual port of each 8T SRAM in a row direction or a column direction. Each of the WLs is connected to a corresponding processor and connected to a corresponding WL port of each 8T SRAM.

In some examples, a device includes a first processing core comprising a resistive memory array to perform an analog computation, and a digital processing core comprising a digital memory programmable with different values to perform different computations responsive to respective different conditions. The device further includes a controller to selectively apply input data to the first processing core and the digital processing core.

In some examples, a device includes a first processing core comprising a resistive memory array to perform an analog computation, and a digital processing core comprising a digital memory programmable with different values to perform different computations responsive to respective different conditions. The device further includes a controller to selectively apply input data to the first processing core and the digital processing core.

A system can include a memristive crossbar array, which can include row lines and column lines intersecting the row lines. Resistive memory elements can be coupled between the row lines and the column lines at the junctions formed by the row and column lines. The resistive memory elements represent the values of the matrix. The system can further include an analogue circuit. The system can be configured to perform an exponentiation of the values of the vector in accordance with a first exponent. The crossbar array can be configured to apply the resulting values of the vector to the resistive elements thereby generating currents. The analogue circuit can be configured to perform an exponentiation of the generated currents in accordance with a second exponent.

A near memory system is provided for the calculation of a layer in a machine learning application. The near memory system includes an array of memory cells for storing an array of filter weights. A multiply-and-accumulate circuit couples to columns of the array to form the calculation of the layer.

A mixed-signal integrated circuit that includes: a global reference signal source; a first summation node and a second summation node; a plurality of distinct pairs of current generating circuits arranged along the first summation node and the second summation node; a first current generating circuit of each of the plurality of distinct pairs that is arranged on the first summation node and a second current generating circuit of each of the plurality of distinct pairs is arranged on the second summation node; a common-mode current circuit that is arranged in electrical communication with each of the first and second summation nodes; where a local DAC adjusts a differential current between the first second summation nodes based on reference signals from the global reference source; and a comparator or a finite state machine that generates a binary output value current values obtained from the first and second summation nodes.

A signal processing circuit including a plurality of analog-to-digital conversion circuits, an in-memory computing device, and a control method thereof are provided. Each analog-to-digital conversion circuit includes a reset switch, a capacitor array circuit, a voltage comparator, and a successive approximation circuit. A first terminal of the reset switch receives a first reference voltage, and a second terminal of the reset switch receives an input voltage signal. The capacitor array circuit adjusts the input voltage signal according to a successive approximation control signal to generate an adjusted voltage. The voltage comparator compares the voltage levels of the adjusted voltage and a second reference voltage to generate a comparison signal. The successive approximation circuit generates a successive approximation control signal according to the comparison signal and generates an output digital signal corresponding to the input voltage signal. The capacitor array circuit maintains the input voltage signal during a non-reset stage.

In a hybrid computing system including at least one analog processor and at least one digital processor an embedded problem is repeatedly run or executed on the analog processor(s) to generate a first plurality of candidate solutions to the computational problem, the candidate solutions are returned to the digital processor(s) which determine a value for at least one statistical feature of the candidate solutions, at least one programmable parameter of the plurality of analog devices in the analog processor(s) is adjusted to at least partially compensate for deviations from an expected value of the at least one statistical feature, the expected value of the at least one statistical feature inferred from the structure of the embedded problem, the embedded problem is again repeatedly run or executed on the analog processor(s) to generate a second plurality of candidate solutions to the computational problem.

The present disclosure describes a mixed signal arithmetic logic unit configured to use a combination of analog processing elements and digital processing elements in a cohesive manner. Depending on the signals and the data received for processing, the analog processing elements and digital processing elements may be used separately, independently or in combination to optimize computational results and the performance of the mixed signal arithmetic logic unit.

In some examples, a device includes a first processing core comprising a resistive memory array to perform an analog computation, and a digital processing core comprising a digital memory programmable with different values to perform different computations responsive to respective different conditions. The device further includes a controller to selectively apply input data to the first processing core and the digital processing core.