Special Session 2

New Tech with New AI Frameworks

Session chair: Michael Niemier (Univ. Of Notre Dame)

Access session proceedings on Zoom Web-Conference.
Schedule at: 9th Oct'20 - 10:15 AM - 11:45 AM (MST)

Presentation 1: Resistive Crossbar Array based Analog Compute for Deep Learning Acceleration

Presenter: Nicole Saulnier

Authors: Nicole Saulnier, Praneet Adusumilli, Martin Frank,Vijay Narayanan, Abu Sebastian, Stefano Ambrogio, Hsinyu Tsai, Takashi Ando, John Rozen, Cindy Goldberg, Jeff Burns, Rama Divakaruni

Presentation 2: Revisiting RowHammer

Presenter and Authors: Onur Mutlu (ETHZ)

Presentation 3: Scalable Neuromorphic and In-Memory Computing Hardware Based on Emerging RRAM Devices

Presenter: Wei Lu (Electrical Engineering and Computer Science, University of Michigan)

Bio: Wei D. Lu is a Professor in the Electrical Engineering and Computer Science department at the University of Michigan. He received B.S. in physics from Tsinghua University, Beijing, China in 1996, and Ph.D. in physics from Rice University, Houston, TX in 2003, followed by a postdoctoral research fellow position at Harvard University, Cambridge, MA from 2003-2005. He joined the faculty of the University of Michigan in 2005. His research interest includes resistive-random access memory (RRAM), memristor-based logic circuits, neuromorphic computing systems, aggressively scaled transistor devices, and electrical transport in low-dimensional systems. To date Prof. Lu has published over 200 journal and conference articles with over 26,000 citations and H-index of 74. He is a recipient of the NSF CAREER award, an IEEE Fellow, and co-founder of Crossbar Inc.