Abstract: Embodiments of the present disclosure relate to a method for data processing and to the field of computers. The method comprises: in the mth clock cycle, determining a first exponent value; in the m+1th clock cycle, inputting two n-dimensional vectors into the processing unit to determine n second exponent values; determining a maximum value among the first exponent value and the determined n second exponent values; determining whether a target second exponent value exists among the n second exponent values, an absolute value of a difference between the target second exponent value and the maximum value being greater than or equal to a first threshold; and in response to determining that the target second exponent value exists in n second exponent values, not performing a multiply operation of two floating point numbers corresponding to the target second exponent value in the processing unit, during the m+1th clock cycle.

Abstract: An apparatus integrates arithmetic with logic operations. The apparatus includes a calculation device that calculates source data to generate and output first destination data. The apparatus further includes a normalization unit, coupled to the calculation device, that normalizes the first destination data to generate second destination data of a first type when receiving a signal indicating an output of first-type data, and normalizing the first destination data to generate the second destination data of a second type when receiving the signal indicating an output of second-type data.

Abstract: An apparatus integrates arithmetic with logic operations. The apparatus includes a calculation device that calculates source data to generate and output first destination data. The apparatus further includes a normalization unit, coupled to the calculation device, that normalizes the first destination data to generate second destination data of a first type when receiving a signal indicating an output of first-type data, and normalizing the first destination data to generate the second destination data of a second type when receiving the signal indicating an output of second-type data.

Abstract: An apparatus for integrating arithmetic with logic operations contains at least a calculation device and a post-logic unit. The calculation device calculates source data to generate and output first destination data. The post-logic unit, coupled to the calculation device, performs a comparison operation for comparing the first destination data with 0 and outputs a comparison result.

Abstract: A method for calculating FP (Full Precision) and PP (Partial Precision) values, performed by an ID (Instruction Decode) unit, contains at least the following steps: decoding an instruction request from a compiler; executing a loop m times to generate m microinstructions for calculating first-type data, or n times to generate n microinstructions for calculating second-type data according to the instruction mode of the instruction request, thereby enabling ALGs (Arithmetic Logic Groups) to execute lanes of a thread. m is less than n and the precision of the first-type data is lower than the precision of the second-type data.

Abstract: An apparatus for integrating arithmetic with logic operations contains at least a calculation device and a post-logic unit. The calculation device calculates source data to generate and output first destination data. The post-logic unit, coupled to the calculation device, performs a comparison operation for comparing the first destination data with 0 and outputs a comparison result.

Abstract: A method for calculating FP (Full Precision) and PP (Partial Precision) values, performed by an ID (Instruction Decode) unit, contains at least the following steps: decoding an instruction request from a compiler; executing a loop m times to generate m microinstructions for calculating first-type data, or n times to generate n microinstructions for calculating second-type data according to the instruction mode of the instruction request, thereby enabling ALGs (Arithmetic Logic Groups) to execute lanes of a thread. m is less than n and the precision of the first-type data is lower than the precision of the second-type data.