Data processing method and device and medium

Abstract

The invention discloses a data processing method and device and a medium, and the method comprises the steps: a first target FPGA acceleration card obtains a calculation start command sent by a target host connected with the first target FPGA acceleration card, carries out the calculation of to-be-processed data, and obtains intermediate result data, the intermediate result data and the next-step calculation type information are sent to the next FPGA accelerator card according to self configuration information, the next FPGA accelerator card calculates the intermediate result data to obtain new intermediate result data, the new intermediate result data and the next-step calculation type information are sent to the next FPGA accelerator card, and the new intermediate result data and the next-step calculation type information are sent to the next FPGA accelerator card. Obtaining final result data until the calculation of the last second target FPGA accelerator card participating in the calculation is completed; and returning the final result data to the target host through the second target FPGA accelerator card so as to complete distributed calculation for the to-be-processed data. According to the invention, the calculation delay of distributed calculation of a plurality of FPGA acceleration cards can be reduced, so that the calculation efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of FPGA cloud platform, in particular to a data processing method, device and medium. Background technique [0002] With the increasing processing capability of FPGA (Field Programmable Gate Array, Field Programmable Gate Array), more and more data centers start to use FPGA for acceleration to improve computing capability and flexibility. In order to manage the increasing number and types of FPGA accelerator cards, the FPGA cloud platform application was born, in order to solve the current difficult problems of FPGA accelerator card deployment, maintenance and management. [0003] At present, under the management of the cloud platform, due to the limited logic resources of a single FPGA accelerator card, when a complex computing task cannot be realized through an FPGA accelerator card, it is necessary to divide the complex computing task into multiple computing steps, each step is assigned Calcula...

AI Technical Summary

Problems solved by technology

Among them, the data transmission between multiple FPGA accelerator cards and the switching between calculation steps are all completed by the software running on the host computer. In this way, the distributed calculation of multiple cards will have a large delay compared with the calculation of a single card, and the calculation efficiency is low.

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