Workshop Chairs
_______________
Albert Y. Zomaya, The University
of Western Australia
Fikret Ercal, University of Missouri-Rolla
Stephan Olariu, Old Dominion University
Steering Committee
__________________
Peter Fleming, University of Sheffield,
United Kingdom
Frank Hsu, Fordham University, New York
Oscar Ibarra, University of California, Santa
Barbara
Viktor Prasanna, University of Southern California
Sartaj Sahni, University of Florida - Gainsville
Hartmut Schmeck, University of Karlsruhe,
Germany
H.J. Siegel, Colorado State University
Program Committee
_________________
Ishfaq Ahmad, Hong Kong University
of Science and Technology
Azzedine Boukerche, University of North Texas
Juergen Branke, University of Karlsruhe
Sajal Das, University of Teaxs at Arlington
Tarek El-Ghazawi, George Mason University
Afonso Ferreira, SLOOP, CNRS-INRIA-UNSA,
France
Eileen Kraemer, University of Georgia
Mohan Kumar, University of Teaxs at Arlington
Dan Marinescu, Purdue University
Rebecca Parsons, University of Central Florida
John H. Reif, Duke University
Peter M. A. Sloot, University of Amsterdam,
The Netherlands
Assaf Schuster, Technion, Israel
Franciszek Seredynski, Polish Academy of
Sciences, Poland
Ivan Stojmenovic, Ottawa University, Canada
El-ghazali Talbi, Laboratoire d'Informatique
Fondamentale de Lille, France
Techniques based on biological paradigms
can provide efficient solutions
to a wide variety of problems in parallel
processing. A vast literature
exists on biology-inspired approaches to
solving an impressive array of
problems and, more recently, a number of
studies have reported on the success
of such techniques for solving difficult
problems in all key areas of
parallel processing.
Rather remarkably, most bio-based techniques
are inherently parallel.
Thus, solutions based on such methods can
be conveniently implemented on
parallel architectures.
This workshop seeks to provide an opportunity
for researchers to explore
the connection between bio-based techniques
and the development
of solutions to problems that arise in parallel
processing. Topics of
interest include, but are not limited to:
-
Bio-based methods (e.g. ant algorithms, genetic
algorithms, cellular automata, DNA and molecular computing, neural networks)
for solving parallel processing problems (scheduling, data organisation
and partitioning, communication and routing, VLSI layout etc.)
-
Other methods based on natural phenomena such
as simulated annealing and other artifical-life techniques applied to solve
problems in parallel processing are also of interest
-
Parallel/Distributed platforms for bio-based
computations
-
Techniques for integrating conventional parallel
and bio-based Paradigms
-
Tools and algorithms for parallelizing bio-based
techniques
-
Applications and case studies combining traditional
parallel and distributed computing and bio-based techniques
-
Theoretical work related to solution optimality,
convergence issues, and time/space complexities of parallel algorithms
that employ bio-based methods
Prospective authors of high quality research
contributions are invited to
submit 4 copies of a complete manuscript
not exceeding 15 pages including
figures and references. Electronic submissions
are also encouraged, but in
this case, a cover email message should be
sent indicating title of the
paper, author(s), and the address of the
corresponding author. This should
be followed by a separate email containing
the paper in postscript format.
All papers will be reviewed, and the proceedings
will be published by
Springer Verlag. Papers should be submitted
to one of the workshop chairs.
Professor Albert Y. Zomaya
Parallel Computing Research Laboratory
Department of Electrical and Electronic
Engineering
The University of Western Australia
Nedlands, Perth
Western Australia 6907
Australia
Tel. +61-8-9380-3875
Fax. +61-8-9380-1088
Email: zomaya@ee.uwa.edu.au
Professor Fikret Ercal
Department of Computer Science
University of Missouri
Rolla, MO 65409-0350
USA
Tel. +1-573-341-4857
Fax. +1-573-341-4501
Email: ercal@umr.edu
Professor Stephan Olariu
Department of Computer Science
Old Dominion University
Norfolk, VA 23529-0162
USA
Tel. +1-757-683-4417
Fax. +1-757-683-4900
Email: olariu@cs.odu.edu
Important Dates:
Submission Deadline - November 15, 2001
Notification of Acceptance - December 10,
2001
Final Copy Due - January 5, 2002
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