An adaptive DNN Partition Algorithm Greedy Algorithm (ADPA)

摘要

To solve the problem of DNN running too slowly on mobile terminals. The traditional approach is to use the edge server to cooperate with deep reasoning. However, this approach cannot be adapted to the partition according to the characteristics of each layer of the network and DNN, and can not achieve satisfactory reasoning acceleration effect. In this paper, an adaptive DNN partition algorithm is proposed to reduce the running time of DNN by considering the characteristics of each DNN layer and adaptively selecting the computing devices that should be divided and deployed in each layer. Experimental results show that the algorithm can effectively reduce the running time of DNN in different network environments and meet the delay requirements.