One embodiment provides a processor comprising at least one of a first mask to receive a first input operand and a second input operand and to generate a selected portion of an AND of a sum of the first input operand and the second input operand using an AND chain of the first mask in parallel with generation of the sum by an adder; and a second mask to receive the first input operand and the second input operand and to generate the selected portion of an OR of the sum using an OR chain of the second mask in parallel with generation of the sum.

A novel and useful neural network (NN) processing core adapted to implement artificial neural networks (ANNs) and incorporating processing circuits having compute and local memory elements. The NN processor is constructed from self-contained computational units organized in a hierarchical architecture. The homogeneity enables simpler management and control of similar computational units, aggregated in multiple levels of hierarchy. Computational units are designed with minimal overhead as possible, where additional features and capabilities are aggregated at higher levels in the hierarchy. On-chip memory provides storage for content inherently required for basic operation at a particular hierarchy and is coupled with the computational resources in an optimal ratio. Lean control provides just enough signaling to manage only the operations required at a particular hierarchical level. Dynamic resource assignment agility is provided which can be adjusted as required depending on resource availability and capacity of the device.

A novel and useful neural network (NN) processing core adapted to implement artificial neural networks (ANNs) and incorporating processing circuits having compute and local memory elements. The NN processor is constructed from self-contained computational units organized in a hierarchical architecture. The homogeneity enables simpler management and control of similar computational units, aggregated in multiple levels of hierarchy. Computational units are designed with minimal overhead as possible, where additional features and capabilities are aggregated at higher levels in the hierarchy. On-chip memory provides storage for content inherently required for basic operation at a particular hierarchy and is coupled with the computational resources in an optimal ratio. Lean control provides just enough signaling to manage only the operations required at a particular hierarchical level. Dynamic resource assignment agility is provided which can be adjusted as required depending on resource availability and capacity of the device.

A novel and useful neural network (NN) processing core incorporating inter-device connectivity and adapted to implement artificial neural networks (ANNs). A chip-to-chip interface spreads a given ANN model across multiple devices in a seamless manner. The NN processor is constructed from self-contained computational units organized in a hierarchical architecture. The homogeneity enables simpler management and control of similar computational units, aggregated in multiple levels of hierarchy. Computational units are designed with minimal overhead as possible, where additional features and capabilities are aggregated at higher levels in the hierarchy. On-chip memory provides storage for content inherently required for basic operation at a particular hierarchy and is coupled with the computational resources in an optimal ratio. Lean control provides just enough signaling to manage only the operations required at a particular hierarchical level. Dynamic resource assignment agility is provided which can be adjusted as required depending on resource availability and capacity of the device.

A novel and useful neural network (NN) processing core incorporating inter-device connectivity and adapted to implement artificial neural networks (ANNs). A chip-to-chip interface spreads a given ANN model across multiple devices in a seamless manner. The NN processor is constructed from self-contained computational units organized in a hierarchical architecture. The homogeneity enables simpler management and control of similar computational units, aggregated in multiple levels of hierarchy. Computational units are designed with minimal overhead as possible, where additional features and capabilities are aggregated at higher levels in the hierarchy. On-chip memory provides storage for content inherently required for basic operation at a particular hierarchy and is coupled with the computational resources in an optimal ratio. Lean control provides just enough signaling to manage only the operations required at a particular hierarchical level. Dynamic resource assignment agility is provided which can be adjusted as required depending on resource availability and capacity of the device.

Full adder, a chip and a computing device are disclosed. A full adder includes: a plurality of primary logic cells and at least one secondary logic cell, wherein an output terminal of each primary logic cell is at least connected to an input terminal of a first secondary logic cell in the at least one secondary logic cell. The plurality of primary logic cells includes: a first primary logic cell, a second primary logic cell and a third primary logic cell respectively configured to generate a first intermediate signal, a second intermediate signal and a carry-related signal based on a first input signal, a second input signal and a carry input signal input to the full adder. Furthermore, the first secondary logic cell is configured to generate a sum output signal of the full adder based on the first intermediate signal, the second intermediate signal and the carry-related signal.

An adder circuit inhibiting overflow is provided. A first memory, a second memory, a third memory, and a fourth memory are included. A step of supplying first data with a sign to the first memory and supplying the first data with a positive sign stored in the first memory, to the second memory; a step of supplying the first data with a negative sign stored in the second memory, to the third memory; a step of generating second data by adding the first data with a positive sign stored in the second memory and the first data with a negative sign stored in the third memory; and a step of storing the second data in the fourth memory are included. When the second data stored in the fourth memory are all second data with a positive sign or all second data with a negative sign, all the second data stored in the fourth memory are added.

An adder circuit inhibiting overflow is provided. A first memory, a second memory, a third memory, and a fourth memory are included. A step of supplying first data with a sign to the first memory and supplying the first data with a positive sign stored in the first memory, to the second memory; a step of supplying the first data with a negative sign stored in the second memory, to the third memory; a step of generating second data by adding the first data with a positive sign stored in the second memory and the first data with a negative sign stored in the third memory; and a step of storing the second data in the fourth memory are included. When the second data stored in the fourth memory are all second data with a positive sign or all second data with a negative sign, all the second data stored in the fourth memory are added.

Integrated circuits such as application specific integrated circuits or programmable logic devices may include multiple copies of a same circuit together with a majority vote circuit in a configuration that is sometimes also referred to as multi-mode redundancy. An adder circuit may be coupled to these multiple copies and produce a carry-out signal and a sum signal based on signals received from the multiple copies. The carry-out signal of the adder circuit may provide the result of the majority vote operation. A logic exclusive OR gate may perform a logic exclusive OR operation between the sum signal and the carry-out signal, thereby generating an error signal. The error signal may indicate that one of the multiple copies produces an output that is different than the outputs produced by the other copies.

Integrated circuits such as application specific integrated circuits or programmable logic devices may include multiple copies of a same circuit together with a majority vote circuit in a configuration that is sometimes also referred to as multi-mode redundancy. An adder circuit may be coupled to these multiple copies and produce a carry-out signal and a sum signal based on signals received from the multiple copies. The carry-out signal of the adder circuit may provide the result of the majority vote operation. A logic exclusive OR gate may perform a logic exclusive OR operation between the sum signal and the carry-out signal, thereby generating an error signal. The error signal may indicate that one of the multiple copies produces an output that is different than the outputs produced by the other copies.