Abstract: This application discloses an optical computing apparatus and method, and relates to the field of optical processing technologies. The apparatus implements two-dimensional Fourier transform of input data. The apparatus includes a beam splitting phase shift module and a beam combination module. The beam splitting phase shift module is configured to receive a plurality of input optical signals that indicate input data, and output a plurality of groups of intermediate optical signals based on the plurality of input optical signals. The beam combination module is configured to obtain a plurality of output optical signals based on the plurality of groups of intermediate optical signals, where output data indicated by the plurality of output optical signals is data obtained through two-dimensional Fourier transform performed on the input data.

Abstract: An efficient parallelization and deployment method of a multi-objective service function chain based on a CPU+DPU platform solves the problem of multi-objective deployment by constructing a heterogeneous computing architecture composed of an orchestrator and a server based on a CPU+DPU structure; the orchestrator is responsible for receiving an SFC request from a network operator; an SFC deployment algorithm based on deep reinforcement learning is operated, including a parallel strategy, a VNF topological order strategy and a DPU processing strategy to obtain an optimal deployment scheme of each request; then a resource management module is invoked to manage resources; and finally, a driver module is invoked to transmit the deployment scheme to a server for placement, and the server completes the deployment of SFC by using the CPU or the DPU respectively according to the deployment scheme.