To this end, we present an efficient in-memory convolutional neural network (CNN) accelerator optimized for use with racetrack memory. We design a series of ...
Jul 1, 2022 · To this end, we present an efficient in-memory convolutional neural network (CNN) accelerator optimized for use with racetrack memory. We design ...
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems ; Journal of Systems Architecture, v. 128, ...
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems ... Authors: Benjamin Chen Ming Choong; Tao ...
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems · Author Picture Benjamin Chen Ming Choong.
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems. Choong, B. C. M.; Luo, T.; Liu, C ...
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems. Article. May 2022; J SYST ARCHITECT.
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems · Benjamin Chen Ming Choong, Tao Luo ...
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems. Author(s): Choong, Benjamin Chen Ming ...
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems. call_number:asx,157253177. (0 Ratings).