CS DISTINGUISED LECTURE - MONDAY, MARCH 15
Faust, Mark R
mfaust at ad.uiuc.edu
Fri Mar 12 13:13:02 CST 2010
University of Illinois at Urbana-Champaign
Department of Computer Science
Thomas M. Siebel Center for Computer Science
201 North Goodwin Avenue
Urbana, Illinois 61801-2302 USA
DISTINGUISHED LECTURESHIP SERIES
AND GRADUATE SEMINAR
Using Simple Abstraction to Guide the
Reinvention of Computing for Parallelism
Uzi Vishkin
Professor
Institute for Advanced Computer Studies
University of Maryland
Monday, March 15, 2010, 4:00 p.m.*
1404 Siebel Center for Computer Science
Abstract:
The sudden shift from single-processor computer systems to many-processor parallel ones requires reinventing much of Computer Science (CS): how to actually build and program the new parallel systems. CS urgently requires convergence to a robust parallel general-purpose platform that provides good performance and is easy enough to program by at least all CS majors. Unfortunately, lesser ease-of- programming objectives have eluded decades of parallel computing research. The idea of starting with an established easy parallel programming model and build an architecture for it has been treated as radical by vendors. This talk advocates a more radical idea. Start with a minimalist stepping-stone: a simple abstraction that encapsulates the desired interface between programmers and system builders.
Bio:
Professor Uzi Vishkin started his work on parallel computing in 1979 as a PhD student at the Technion, Israel. His initial focus was on parallel algorithms and parallel algorithmic thinking. He co-authored several articles that helped build a theory of parallel algorithms - also known as PRAM algorithms. This work led to his invention of the PRAM-On-Chip desktop supercomputer framework that scales beyond 1000 processors on a chip. He was inducted as an ACM Fellow for playing "a leading role in forming and shaping what thinking in parallel has come to mean in the fundamental theory of Computer Science." Vishkin is currently a professor of electrical and computer engineering at the University of Maryland Institute for Advanced Computer Studies (UMIACS). He has also worked for IBM T.J. Watson, New York University, and was the chair of computer science at Tel Aviv University.
This lecture is co-sponsored by the Department of Computer Science and UPCRC.
*A reception will be held immediately following the lecture in the 2nd floor Atrium.
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