Technical Program

Paper Detail

Paper:MO2-7-1
Session:Energy-Efficient solutions for neural networks and applications
Location:Room 7
Session Time:Monday, November 2, 13:00 - 14:20
Presentation Time:Monday, November 2, 13:00 - 13:20
Presentation: Virtual
Topic: Architectures and Implementation: Invited Session: Energy-efficient AI Hardware Architectures
Paper Title: Hierarchical Approximate Memory for Deep Neural Network Applications
Authors: Minho Ha, Pohang University of Science and Technology, Republic of Korea; Seokha Hwang, Samsung Electronics, Republic of Korea; Jeonghun Kim, Youngjoo Lee, Sunggu Lee, Pohang University of Science and Technology, Republic of Korea