Coding-theoretic strategies for the emerging storage systems
Speaker: Lara Dolecek, UCLA
Series: Topical Seminars
Location: Engineering Quadrangle B205
Date/Time: Thursday, February 23, 2012, 3:00 p.m. - 4:00 p.m.
Novel solid state drive storage technologies promise faster data access and higher energy efficiency than conventional hard disk drives. To fully utilize these emerging technologies, it is necessary to develop error-correction schemes attuned to the physical properties of memory devices. By departing from the conventional Hamming distance metric and by taking the advantage of the underlying storage asymmetries, substantial performance gains can be achieved. In this talk, we will survey recent exciting results in the domain of asymmetric error correction coding, and we will propose theoretical problems for future research.
Lara Dolecek is an Assistant Professor with the Electrical Engineering Department at the University of California, Los Angeles (UCLA). She holds a B.S. (with honors), M.S. and Ph.D. degrees in Electrical Engineering and Computer Sciences, as well as an M.A. degree in Statistics, all from the University of California, Berkeley. She received the 2007 David J. Sakrison Memorial Prize for the most outstanding doctoral research in the Department of Electrical Engineering and Computer Sciences at UC Berkeley. She is a Hellman Fellow at UCLA and in 2012 she received NSF CAREER award. Prior to joining UCLA, she was a postdoctoral researcher with the Laboratory for Information and Decision Systems at the Massachusetts Institute of Technology. Her research interests span coding and information theory, graphical models, statistical algorithms, and computational methods, with applications to emerging systems for data storage, processing, and communication