Workshop on Bio-Inspired Solutions to Parallel Processing Problems (BioSP3)
In conjunction with
International Parallel and DistributedProcessing Symposium (IPDPS)
April 15, 2002
Fort Lauderdale, Florida
Workshop Chairs
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Albert Y. Zomaya, The University of Western Australia
Fikret Ercal, University of Missouri-Rolla
Stephan Olariu, Old Dominion University
Steering Committee
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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
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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:
o 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.)
o 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
o Parallel/Distributed platforms for bio-based computations
o Techniques for integrating conventional parallel and
bio-based Paradigms
o Tools and algorithms for parallelizing bio-based techniques
o Applications and case studies combining traditional parallel and
distributed computing and bio-based techniques
o 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
(see below).
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:
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Submission Deadline - November 15, 2001
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Notification of Acceptance - December 10, 2001
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Final Copy Due - January 5, 2002