Hangzhou AliCloud Feitian Information Technology Co., Ltd.

A communication method and system based on deployment relationship between multiple processors are provided. In the method, a first processor obtains at least one piece of target identification information to be queried; and determines a second processor corresponding to the target identification information, wherein the second processor is used for obtaining a target query result corresponding to the target identification information. In addition, in response to that the deployment relationship between the first and second processors being that the first and second processors are deployed on the same physical machine or on different physical machines, the first processor determines that a target communication mode for the second processor is that the communication is performed through a bus or through network respectively. Then, the first processor sends the target identification information to the second processor through the target communication mode.

A data processing method, applied to a server including a network interface card, a central processing unit and a storage medium. The network interface card performs traffic distribution processing on initial data, determines control data, index data and service data of the initial data, and stores the control data and the index data in the central processing unit. The central processing unit parses the control data, determines a data execution operator corresponding to the control data, issues the data execution operator to the network interface card, processes the index data of the initial data, and stores the processed index data in the medium. The network interface card performs calculation on the service data based on the data execution operator, and stores, in the medium, target service data, index data of the target service data, and metadata of the target service data and the index data determined through the calculation.

A method and system for communication between processors, a storage medium, and a processor are provided. The method comprises: obtaining, by a first processor, at least one piece of target identification information to be queried; determining, by the first processor, a second processor corresponding to the at least one piece of target identification information, wherein the second processor is used for obtaining a target query result corresponding to the at least one piece of target identification information; determining, by the first processor, a target communication mode for the second processor based on a deployment relationship between the first processor and the second processor, wherein the deployment relationship is used for indicating whether the first processor and the second processor are deployed on the same physical machine; sending, by the first processor, the at least one piece of target identification information to the second processor through the target communication mode.

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.