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Title: | Mathematics at DEC |
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Moderator: | RUSURE::EDP |
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Created: | Mon Feb 03 1986 |
Last Modified: | Fri Jun 06 1997 |
Last Successful Update: | Fri Jun 06 1997 |
Number of topics: | 2083 |
Total number of notes: | 14613 |
1544.0. "Linear Algebra/Computing talk" by STAR::ABBASI () Mon Jan 20 1992 15:43
TITLE: " A LOOK AT HIGH-PERFORMANCE COMPUTERS AND THE
EVOLUTION OF ALGORITHMS FOR LINEAR ALGEBRA PROBLEMS "
NUMBER: 92TSS-04
SCHEDULE: Jan 30, 1992
LOCATION: JULIE WOLFBERG CONF. ROOM MRO4
TIME: 9:00 - 12:00
CLASS SIZE: 50
INSTRUCTOR: JACK DONGARRA, UNIV. OF TENN.
COST: $ 0
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* TO REGISTER: SET HOST MSBCS *
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Presenter: Jack Dongarra, University of Tennessee
Tech Host: Ned Anderson, DCSS
ABSTRACT:
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In this talk we will overview the current state of high-performance
computing. We will trace the evolution of software for numerical
linear algebra, starting with the first published subroutine
library of Wilkes, Wheeler and Gill in 1950. We look at the
important and influential "Handbook" edited by Wilkinson
and Reinsch, which formed the basis for the EISPACK and LINPACK
projects. We also look at the development of the Basic Linear
Algebra Subprograms (BLAS) from the original BLAS aimed at
scalar and vector operations, through the Level 2 BLAS aimed
at matrix-vector operations to the recently proposed
Level 3 BLAS aimed at matrix-matrix operations.
Throughout this historical tour we look at the effect that
machine architectures have had on portable software design,
culminating with the challenge that supercomputers and
parallelism pose to the developers of portable software,
and we consider what basic principals have emerged.
BIOGRAPHY:
Jack Dongarra holds a joint appointment as Distinguished
Professor of Computer Science in the Computer Science Department
at the University of Tennessee (UT) and as Distinguished
Scientist in the Mathematical Sciences Section at Oak Ridge
National Laboratory (ORNL) under the UT/ORNL Science
Alliance Program. He specializes in numerical algorithms
in linear algebra, parallel computing, use of advanced-computer
architectures, programming methodology, and tools for
parallel computers. Other current research also involves the
development, testing and documentation of high quality
mathematical software. He was involved in the design and
implementation of the software packages EISPACK, LINPACK, the BLAS,
and LAPACK; and is currently involved in the design of algorithms
and techniques for high performance computer architectures.
Other experience includes work as a Senior Scientist at
Argonne National Laboratory until 1989, a visiting scientist at
AERE Harwell Laboratory - England in 1987, a visiting scientist
at Center for Supercomputer Research and Development,
University of Illinois, Urbana/Champaign, 1985--1987; a visiting
scientist at IBM's T.J. Watson Research Center in 1981,
consultant to Los Alamos Scientific Laboratory in 1978,
research assistant with University of New Mexico in 1978,
as well as a visiting scientist at Los Alamos Scientific
Laboratory in 1977.
Dongarra received a Ph.D. in Applied Mathematics from the University of New
Mexico in 1980, a M.S. in Computer Science from the Illinois Institute of
Technology in 1973, and a B.S. in Mathematics from Chicago State University in
1972.
Professional activities include membership in
the Society for Industrial and Applied Mathematics (SIAM),
the Institute of Electrical and Electronics Engineers (IEEE), and
the Association for Computing Machinery (ACM).
Dongarra has served on the SIAM Council and the ACM SIGNUM Board of Directors.
He is also Editor-in-Chief of the International Journal of
Supercomputer Applications,and an editor for Parallel Computing,
Journal of Distributed and Parallel Computing, Journal of Supercomputing,
IMPACT of Computing in Scientific Applications, Communications of the ACM,
and Research Monographs on Parallel and Distributed Computing.
He has published numerous articles, papers, reports and technical memoranda,
and has given many presentations on his research interests.
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