An apparatus is described. The apparatus includes a long short term memory (LSTM) circuit having a multiply accumulate circuit (MAC). The MAC circuit has circuitry to rely on a stored product term rather than explicitly perform a multiplication operation to determine the product term if an accumulation of differences between consecutive, preceding input values has not reached a threshold.

According to one embodiment, a calculation device includes a processing device configured to perform a processing procedure. The processing procedure includes a first update of a first vector, a second update of a second vector, and a third update of a third vector. The first update includes updating the first vector using the second vector and the third vector. The second update includes updating the second vector using the first vector. The processing device is configured to output an output of at least one of the first vector obtained after repeating the processing procedure or a function of the first vector obtained after the repeating the processing procedure.

According to one embodiment, a calculation device includes a processing device configured to perform a processing procedure. The processing procedure includes a first update of a first vector, a second update of a second vector, and a third update of a third vector. The first update includes updating the first vector using the second vector and the third vector. The second update includes updating the second vector using the first vector. The processing device is configured to output an output of at least one of the first vector obtained after repeating the processing procedure or a function of the first vector obtained after the repeating the processing procedure.

A latch circuit sequentially latches a first data weighted averaging (DWA) data word and then a second DWA data word. A first detector circuit identifies a first bit location in the first DWA data that is associated with an ending of a first string of logic 1 bits in the first DWA data word. A second detector circuit identifies a second bit location in the second DWA data word associated with an ending of a second string of logic 1 bits in the second DWA data word. A DWA-to-binary conversion circuit converts the second DWA data word to a binary word by using the first bit location and second bit location to identify a number of logic 1 bits present in said second DWA data word. A binary value for that binary word that is equal to the identified number is output.

The present disclosure relates generally to techniques for improving the implementation of certain operations on an integrated circuit. In particular, deep learning techniques, which may use a deep neural network (DNN) topology, may be implemented more efficiently using low-precision weights and activation values by efficiently performing down conversion of data to a lower precision and by preventing data overflow during suitable computations. Further, by more efficiently mapping multipliers to programmable logic on the integrated circuit device, the resources used by the DNN topology to perform, for example, inference tasks may be reduced, resulting in improved integrated circuit operating speeds.

The present disclosure relates generally to techniques for improving the implementation of certain operations on an integrated circuit. In particular, deep learning techniques, which may use a deep neural network (DNN) topology, may be implemented more efficiently using low-precision weights and activation values by efficiently performing down conversion of data to a lower precision and by preventing data overflow during suitable computations. Further, by more efficiently mapping multipliers to programmable logic on the integrated circuit device, the resources used by the DNN topology to perform, for example, inference tasks may be reduced, resulting in improved integrated circuit operating speeds.

An adder circuit that includes an operand input and a second operand input to an XNOR cell. The XNOR cell is configured to provide the operand input and the second operand input to both a NAND gate and a first OAI cell. A second OAI cell transforms the output of the XNOR cell into a carry out signal.

An adder circuit that includes an operand input and a second operand input to an XNOR cell. The XNOR cell is configured to provide the operand input and the second operand input to both a NAND gate and a first OAI cell. A second OAI cell transforms the output of the XNOR cell into a carry out signal.

Adder circuits and associated methods for processing a set of at least three floating-point numbers to be added together include identifying, from among the at least three numbers, at least two numbers that have the same sign—that is, at least two numbers that are both positive or both negative. The identified at least two numbers are added together (608) using one or more same-sign floating-point adders (120, 220a, 320, 420). A same-sign floating-point adder comprises circuitry configured to add together floating-point numbers having the same sign and does not include circuitry configured to add together numbers having different signs.

A latch circuit sequentially latches a first data weighted averaging (DWA) data word and then a second DWA data word. A first detector circuit identifies a first bit location in the first DWA data that is associated with an ending of a first string of logic 1 bits in the first DWA data word. A second detector circuit identifies a second bit location in the second DWA data word associated with an ending of a second string of logic 1 bits in the second DWA data word. A DWA-to-binary conversion circuit converts the second DWA data word to a binary word by using the first bit location and second bit location to identify a number of logic 1 bits present in said second DWA data word. A binary value for that binary word that is equal to the identified number is output.