Applicability Testing Technique of Intelligent Processor for Embedded Computing System
Linting Bai, Pengcheng Wen, Yulin Hai, Zhengkun Gao, Taoran Cheng, Heng Wang · 2021
This paper conducts research on the applicability technology of intelligent processors in embedded devices. From the aspects of the complexity of intelligent tasks, the real-time performance and accuracy requirements of intelligent tasks, the high-performance density requirements of the embedded system and the working environment requirements of embedded devices, the relevant characteristics of intelligent applications in the embedded environment are analyzed. Based on the above analysis, a series of testing indexes for the applicability of intelligent processors for embedded environments are proposed, including support for different types of intelligent algorithms, processing performance, processing accuracy, power consumption, and working environment. Using typical deep neural network models, the applicability of a certain type of domestic intelligent processor is tested and analyzed to verify the validity of the proposed indexes.