Author:
Kim Dohyun,Choi Junghwan,Kim Shiho
Reference20 articles.
1. Hardware accelerators for autonomous vehicles;Jhung,2023
2. CNN hardware accelerator architecture design for energy-efficient AI;Cha,2023
3. Eyeriss: an energy-efficient reconfigurable accelerator for deep convolutional neural networks;Chen;IEEE J. Solid-State Circuits,2016
4. Characterizing the deployment of deep neural networks on commercial edge devices;Hadidi,2019
5. EIE: efficient inference engine on compressed deep neural network;Han;ACM SIGARCH Comput. Archit. News,2016