"Spintronic In Memory Processing: Opportunities and Challenges"

Ulya Karpuzcu, Associate Professor of Electrical and Computer Engineering, University of Minnesota

Thursday, October 11, 2018 at 4:00 P.M.

Barus & Holley, Room 190

Traditional Von Neumann computing is falling apart in the era of exploding data volumes as the overhead of data transfer becomes forbidding. Instead, it is more energy efficient to fuse compute capability with memory where the data reside. This is particularly critical for key computational steps in large-scale data analytics, which involves repetitive search and processing over very large databases residing in memory. Emerging spintronic technologies show remarkable versatility for the tight integration of logic and memory. This talk will cover opportunities and challenges using a novel high-density, reconfigurable spintronic in-memory compute substrate as a case study.

Ulya R. Karpuzcu is an associate professor at the Department of Electrical and Computer Engineering of University of Minnesota. She received the Ph.D. and M.S. degrees in Computer Engineering from University of Illinois, Urbana-Champaign. Her research interests span application-domain specialized architectures, approximate computing, computing at ultra-low voltages, physics of computing. She is currently spending the academic year at Brown during her sabbatical.

Host: Professor Iris Bahar