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From:     dags@wildcat.dartmouth.edu (Fillia Makedon)
Subject:  CFP: Symposium on Parallel Computing and Problem Solving Environments
Date:     11 Apr 1994 12:11:59 -0500


*** Please note extended paper-submission deadline (April 25) ***

THE DARTMOUTH INSTITUTE FOR ADVANCED GRADUATE STUDIES IN PARALLEL COMPUTATION

JULY 5-7 1994: SYMPOSIUM ON PARALLEL COMPUTING AND PROBLEM SOLVING
ENVIRONMENTS: Providing Massively Parallel Computing to Problem
Solvers

The DAGS'94 symposium focuses on providing massively parallel
computing to problem solving environments. A Problem Solving
Environment (PSE) is a computer system that provides all necessary
computational facilities to solve a specified class of problems.
These facilities are specialized for the domain of the specified class
of problems and can be used without specialized knowledge of the
underlying computer hardware or software. Important characteristics
for PSEs are: solving power, problem orientation, state-of-the-art
solution methods, automatic/semi-automatic selection of solution
methods, facilities for easy incorporation of novel solution methods,
computing facilities (such as interactive color graphics, networks of
specialized services, and powerful processors), monitoring the problem
solving task, rapid prototyping support, and management of the
computing resources for the user.

SYMPOSIUM TOPICS:
Papers representing original results will be accepted. Topics that
will be considered include

	Symbolic Computations in Parallel
	Network access for parallel I/O and databases
	Algorithms and Computational Models for Parallel and Distributed Computing
	Programming Models for Parallel and Distributed computing
	New results in applications/tools/transformations for PSEs:
 		scientific visualization, 3D modeling, computational fluid
		dynamics, weather prediction, digital libraries,
		aerodynamics, market anaylsis, CAD/CAM, climate change,
		transaction processing
	Tools for application development on massively parallel systems
	How parallel complexity and approximation relates to PSEs
	Numerical stability and parallel performance
	Lower bounds on Parallel Complexity
	Models vs. Real Parallel Machines

SUBMISSION AND IMPORTANT DATES
	Please submit:
		(a) an electronic copy of an extended abstract (up to 12
			pages) to djohnson@cs.dartmouth.edu
		(b) 5 hard copies of the extended abstract to the following
			address:
	Deadline for submission:     	April 25, 1994
	Notification of acceptance:  	May 25, 1994
	Final version:	                June 20,1994

PROGRAM COMMITTEE Co-chairs: Bruno Codenotti (Institute of Applied
Mathematics, Pisa) and Donald B. Johnson (Dartmouth); Gianfranco
Bilardi (Padova, Italy); Iain Duff (Rutherford Appleton Laboratory,
Oxon, UK); Stratis Gallopoulos (Univ. of Illinois, Urbana); Elias
Houstis (Purdue Univ.); Richard Karp (Univ. of California, Berkeley);
Fillia Makedon (Dartmouth); Panagiotis Metaxas (Wellesley), James
Storer (Brandeis Univ.).

JULY 8-12: SCHOOL ON PARALLEL PROGRAMMING ENVIRONMENTS Andrea Califano
(IBM, Yorktown Heights), (Bruno Codenotti (Institute for Information
Processing, Pisa), Thomas Cormen (Dartmouth), Stratis Gallopoulos
(University of Illinois, Urbana-Champaign), David Kotz (Dartmouth),
Fillia Makedon (Dartmouth), Panagiotis Metaxas (Wellesley), Grammati
Pantziou (Dartmouth), Michael Quinn (Oregon State University), Isidore
Rigoutsos (IBM, Yorktown Heights), Gary Sabot (Thinking Machines),
Alberto Segre (Cornell), Clifford Stein (Dartmouth).

Inquiries: Fillia Makedon, Dags Institute Director, Dartmouth College,
Hanover, NH 03755 USA; Phone: (603) 646-3048, Fax: (603) 646-1312,
Email: makedon@dartmouth.edu