"Workload Characterization for Media Processor Design"
Prof. Lizy K. John
UT Austin
Friday, April 9th, 2:00 PM, ENS 302
ljohn@ece.utexas.edu
Abstract
Media Processing has emerged to be a dominant computing workload even
for general purpose processors. Despite the recent attention given to
media processing and media instruction set extensions, the understanding
of multimedia applications is fairly limited. Many benchmarking studies on
media processors have used media and signal processing kernels. General
purpose computer designers have understood the dangers of designing
machines based on kernels versus full applications. The nonavailability
of compiler infrastructure to fully utilize the media processing
extensions has severely limited adequate analysis of the media processing
extensions. This talk describes several issues in the design
of a high performance media processor. Has sufficient workload
characterization been done for this class of applications? Are approaches
used in general purpose processor design equally valid for digital signal
processor design? This talk attempts to analyze some of these issues.
Biography
Dr. Lizy Kurian John is an assistant professor in the Department of
Electrical and Computer Engineering at the University of Texas at
Austin. She received her Ph. D in Computer Engineering from Penn
State in August 1993. Her research interests include high performance
processor and memory architectures, superscalar and superpipelined
processors, cache memories, program behavior studies, compiler
optimization for high performance processors, rapid prototyping,
Field Programmable Gate Arrays etc. Her research is supported by the
National Science Foundation, the State of Texas Advanced Technology
program, IBM, AMD and Intel. She is recipient of an NSF CAREER award
and a Junior Faculty Enhancement Award from Oak Ridge Associated
Universities. She is a member of IEEE and its Computer Society and
ACM and ACM SIGARCH. She is also a member of Eta Kappa Nu, Tau Beta
Pi and Phi Kappa Phi.
A list of Signal and Image Processing Seminars is available at
from the ECE department Web pages under "Seminars".
The Web address for the Signal and Image Processing Seminars is
http://anchovy.ece.utexas.edu/seminars