June 9, 2005
Refreshments at 2:30pm, Lecture begins at 3:00pm
Abstract
In the past few years, it has become clear that fabrication
variability is one of the most important challenge that needs to be
addressed for keeping the semiconductor industry profitable. Fabrication
variability imposes an underlying uncertainty on the design process of
VLSI chips making several parameters random. Therefore, the old way of
doing design needs to be overhauled for considering this randomness.
This implies that VLSI CAD needs to incorporate probabilistic models for
capturing uncertainty and stochastic optimization for controlling the
design decision variables. Several challenges need to be addressed
before this is made possible...
Biography
Ankur Srivastava received the B.S. degree from the Indian Institute
of Technology, Delhi, the M.S. degree from Northwestern University,
Evanston, IL, and the Ph.D. degree from the University of California Los
Angeles (UCLA) in 1998, 2000, and 2002. Since fall 2002 he has been an
Assistant Professor with the University of Maryland, College Park.
His research interests include all aspects of design automation including logic and high-level synthesis, low-power issues and
predictability, and low-power issues pertaining to sensor networks. Dr.
Srivastava received the outstanding Ph.D. Award from the Computer
Science Department of UCLA in 2002. He is a member of ACM and IEEE.