CASS Talks 2021 - July 30, 2021
Energy Efficient In-MRAM Computing
Prof. Hao Cai
Southeast University in Nanjing, China
Abstract:
Computing-in-Memory (CIM) is the breakthrough of the upcoming non-Von Neumann architecture and realizes the fusion of memory and processor. Computing in spin transfer torque magnetic RAM (STT-MRAM) is expected to achieve both ultra-low-power and interconnection delay reduction. In this talk, we discuss the in-memory/near-memory computing with either digital or analog signal realizations. Simulation based and several Silicon-results will be provided to show the energy-efficient, multi-level co-optimization characteristics of in-MRAM computing.
Short CV:
Hao Cai received the Ph.D. from TELECOM Paristech, Universite Paris-Saclay, France, in 2013. From 2012 to 2015, he was involved in the European EUREKA Program Catrene-RELY for high-reliability nanoscale integrated circuits and systems. He worked with the Department Communications and Electronics, TELECOM Paristech as research associate from 2013 and as the invited associate professor from 2018. From February 2018, he is an Associate Professor with National ASIC System Engineering Center, Southeast University in Nanjing, China. He has authored or coauthored more than 70 scientific papers, e.g., IEEE JSSC, TCAS-1, TCAS-2. His research interests include memory design, emerging computing and ultra-low power emerging device-circuit interaction design.