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 
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, Purdue University 
Les Valiant, Harvard University 

Program Committee 
_________________

Ishfaq Ahmad, Hong Kong University of Science and Technology 
David Andrews, University of Arkansas
Azzedine Boukerche, University of North Texas
Juergen Branke, University of Karlsruhe
Jehoshua (Shuki) Bruck, California Institute of Technology 
Jens Clausen, Technical University of Denmark, Denmark
Sajal Das, University of Teaxs at Arlington
Tarek El-Ghazawi, George Mason University
Afonso Ferreira, SLOOP, CNRS-INRIA-UNSA, France 
Ophir Frieder, Illinois Institute of Technology
Eileen Kraemer, University of Georgia 
Mohan Kumar, Curtin University of Technology, Australia 
Richard Lipton, Princeton University
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:

• Submission Deadline - November 1, 2000
• Notification of Acceptance - December 10, 2000
• Final Copy Due - January 5, 2001