Certain aspects provide methods and apparatus for binary computation. An example circuit for such computation generally includes a memory cell having at least one of a bit-line or a complementary bit-line; a computation circuit coupled to a computation input node of the circuit and the bit-line or the complementary bit-line; and an adder coupled to the computation circuit, wherein the computation circuit comprises a first n-type metal-oxide-semiconductor (NMOS) transistor coupled to the memory cell, and a first p-type metal-oxide-semiconductor (PMOS) transistor coupled to the memory cell, drains of the first NMOS and PMOS transistors being coupled to the adder, wherein a source of the first PMOS transistor is coupled to a reference potential node, and wherein a source of the first NMOS transistor is coupled to the computation input node.

The present disclosure provides a processing device and method. The device includes: an input/output module, a controller module, a computing module, and a storage module. The input/output module is configured to store and transmit input and output data; the controller module is configured to decode a computation instruction into a control signal to control other modules to perform operation; the computing module is configured to perform four arithmetic operation, logical operation, shift operation, and complement operation on data; and the storage module is configured to temporarily store instructions and data. The present disclosure can execute a composite scalar instruction accurately and efficiently.

The present disclosure provides a processing device and method. The device includes: an input/output module, a controller module, a computing module, and a storage module. The input/output module is configured to store and transmit input and output data; the controller module is configured to decode a computation instruction into a control signal to control other modules to perform operation; the computing module is configured to perform four arithmetic operation, logical operation, shift operation, and complement operation on data; and the storage module is configured to temporarily store instructions and data. The present disclosure can execute a composite scalar instruction accurately and efficiently.

A combinatorial optimization system includes an input unit to which a multivalued optimization problem is input, a halving unit configured to perform halving to select half of candidate solutions of the multivalued optimization problem, and an optimization control unit configured to obtain an optimal solution of the multivalued optimization problem by causing the halving unit to repeat the halving.

The present disclosure provides a counting device and counting method. The device includes a storage unit, a counting unit, and a register unit, where the storage unit may be connected to the counting unit for storing input data to be counted and storing a number of elements satisfying a given condition in the input data after counting; the register unit may be configured to store an address where input data to be counted is stored in the storage unit; and the counting unit may be connected to the register unit, and may be configured to acquire a counting instruction, read a storage address of the input data to be counted in the register unit according to the counting instruction, acquire corresponding input data to be counted in the storage unit, perform statistical counting on a number of elements in the input data to be counted that satisfy the given condition, and obtain a counting result. The counting device and the method may improve the computation efficiency by writing an algorithm of counting a number of elements that satisfy a given condition in input data into an instruction form.

The present disclosure provides a counting device and counting method. The device includes a storage unit, a counting unit, and a register unit, where the storage unit may be connected to the counting unit for storing input data to be counted and storing a number of elements satisfying a given condition in the input data after counting; the register unit may be configured to store an address where input data to be counted is stored in the storage unit; and the counting unit may be connected to the register unit, and may be configured to acquire a counting instruction, read a storage address of the input data to be counted in the register unit according to the counting instruction, acquire corresponding input data to be counted in the storage unit, perform statistical counting on a number of elements in the input data to be counted that satisfy the given condition, and obtain a counting result. The counting device and the method may improve the computation efficiency by writing an algorithm of counting a number of elements that satisfy a given condition in input data into an instruction form.

A processing device with dynamically configurable operation bit width, characterized by comprising: a memory for storing data, the data comprising data to be operated, intermediate operation result, final operation result, and data to be buffered in a neural network; a data width adjustment circuit for adjusting the width of the data to be operated, the intermediate operation result, the final operation result, and/or the data to be buffered; an operation circuit for operating the data to be operated, including performing operation on data to be operated of different bit widths by using an adder circuit and a multiplier; and a control circuit for controlling the memory, the data width adjustment circuit and the operation circuit. The device of the present disclosure can have the advantages of strong flexibility, high configurability, fast operation speed, low power consumption or the like.

A processing device with dynamically configurable operation bit width, characterized by comprising: a memory for storing data, the data comprising data to be operated, intermediate operation result, final operation result, and data to be buffered in a neural network; a data width adjustment circuit for adjusting the width of the data to be operated, the intermediate operation result, the final operation result, and/or the data to be buffered; an operation circuit for operating the data to be operated, including performing operation on data to be operated of different bit widths by using an adder circuit and a multiplier; and a control circuit for controlling the memory, the data width adjustment circuit and the operation circuit. The device of the present disclosure can have the advantages of strong flexibility, high configurability, fast operation speed, low power consumption or the like.

A circuit includes a plurality of first counting gates, a first ternary half adder (THA) and a second THA that are connected to the plurality of first counting gates, a third THA configured to receive a sum output signal of the first THA and a sum output signal of the second THA, a first ternary sum gate configured to receive a carry output signal of the first THA and a carry output signal of the second THA, and a second ternary sum gate configured to receive a carry output signal of the third THA and an output signal of the first ternary sum gate, wherein the third THA and the second ternary sum gate may be configured to output voltage signals corresponding to a number of drain voltages among input signals applied to the plurality of first counting gates.

A homomorphic operation accelerator includes a plurality of circuits and a homomorphic operation managing circuit. The plurality of circuits may perform homomorphic operations. The homomorphic operation managing circuit may receive cipher text data, homomorphic encryption information and homomorphic operation information from an external device. The homomorphic operation managing circuit may activate or deactivate each of a plurality of enable signals applied to the plurality of circuits based on the homomorphic encryption information and the homomorphic operation information. The homomorphic operation managing circuit may activate or deactivate each of the plurality of circuits based on the plurality of enable signals. The homomorphic encryption information may be associated with a homomorphic encryption algorithm used to generate the cipher text data. The homomorphic operation information may be associated with the homomorphic operations to be performed on the cipher text data.