Abstract: A deep neural network accelerator includes a feature loader that stores input features, a weight memory that stores a weight, and a processing element. The processing element applies 1-bit weight values to the input features to generate results according to the 1-bit weight values, receives a target weight corresponding to the input features from the weight memory, and selects a target result corresponding to the received target weight from among the results to generate output features.
Type:
Application
Filed:
November 20, 2019
Publication date:
May 21, 2020
Applicant:
KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLGY