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Abstract

Embodiments of the present disclosure provide a data processing method and apparatus, wherein the data processing method includes: determining a first matrix and a second matrix, and splitting the second matrix into a first preset quantity of matrix blocks; invoking a Montgomery modular multiplication and addition instruction to perform an operation on an element included in the first matrix and an element included in a j^th matrix block to obtain a matrix block operation result corresponding to the j^th matrix block, and covering the element in the j^th matrix block with the matrix block operation result corresponding to the j^th matrix block; and increasing j by 1, continuing to perform the above-described step of obtaining the matrix block operation result until j is equal to the first preset quantity so as to obtain a target matrix from the matrix multiplication operation performed on the first matrix and the second matrix. In this way, a high-performance matrix multiplication algorithm based on Montgomery modular multiplication and addition is provided, which reduces operational complexity, effectively uses the advantages of batch processing of the Montgomery modular multiplication and addition instruction, and improves the operation efficiency of a processor performing a matrix multiplication operation.

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First Claim