CFP : International Conference on Parallel and Distributed Computing Euro Par 2003
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See: http://europar-itec.uni-klu.ac.at/

Euro-Par 2003 
International Conference on Parallel and Distributed Computing
26th - 29th August 2003 in Klagenfurt, Austria

Online paper submission is open! 
Final Date of Submission: 9th February 2003. 



Call for papers

Euro-Par is well established as the premier European conference on all
aspects of parallel and distributed computing. Previous events were held in
Stockholm (1995), Lyon (1996), Passau (1997), Southampton (1998), Toulouse
(1999), Munich (2000), Manchester (2001) and Paderborn (2002). The
conference normally attracts more than 300 participants coming from
universities, research centres and industry.
Euro-Par 2003 will represent major themes in the categories of hardware,
software, algorithms and applications. New and interesting topics are
proposed, like Peer-to-Peer Computing, Distributed Multimedia Systems as
well as High-Performance Object-Oriented and Middleware Systems. For the
first time, we promote a Demo Session for the presentation of applications.

In common with previous years, Euro-Par 2003 will be organized as a number
of parallel sessions on the following topics for  which papers are
solicited:
Topic 01: Support Tools and Environments
Topic 02: Performance Evaluation and Prediction  
Topic 03: Scheduling and Load Balancing  
Topic 04: Compilers for High Performance
Topic 05: Parallel and Distributed Databases, Data Mining and Knowledge Discovery
Topic 06: Grid Computing and Middleware Systems
Topic 07: Applications on High-Performance Computers
Topic 08: Parallel Computer Architecture and Instruction-Level Parallelism
Topic 09: Distributed Algorithms
Topic 10: Parallel Programming: Models, Methods and Programming Languages
Topic 11: Numerical Algorithms and Scientific Engineering Problems
Topic 12: Architectures and Algorithms for Multimedia Applications
Topic 13: Theory and Algorithms for Parallel Computation
Topic 14: Routing and Communication in Interconnection Networks
Topic 15: Mobile and Ubiquitous Computing
Topic 16: Distributed Systems and Distributed Multimedia
Topic 17: High-Performance Object-Oriented and Middleware Systems
Topic 18: Peer-to-Peer Computing
Topic 19: Demonstration of Parallel and Distributed Computing taken from the
          Topics above (Special Submission Rules)

Authors are requested to submit original papers to the topic they judge most
appropriate.

We plan to organize a vendors' session and industrial demonstrations.
Companies being interested to participate in the vendors' session or to
present a demonstration or both, should submit their proposal to László
Böszörményi (laszlo.boeszoermenyi@itec.uni-klu.ac.at ).

Submission Details may be found on the Submission Page. Final Date for
Submission: 9th February 2003.

All accepted papers will be available at the conference in the proceedings
published by Springer-Verlag in the LNCS series.


Special Issue:

Best papers of Euro-Par 2003 will appear in a Special Issue of the Parallel
Processing Letters for publication in the December Issue (Vol. 13, No.4).
Papers will be pre-selected during the Euro-Par Review Process. Final
Decision is based on attendance to the conference and the quality of the
paper.
Parallel Processing Letters (World Scientific) is a leading international
journal in the field of parallel and distributed computing and well known
for its rapid publication procedure.


TOPICS:

------------------------------------------------------------
Support Tools and Environments

Topic 01

Description

   Tools have a crucial influence on the efficiency of a programmer and
   of the parallel program. A wide variety of tools can be deployed
   during implementation and in the production phase of a parallel
   program. The topic aims at bringing together tool designers,
   developers, and users and help them in sharing ideas, concepts, and
   products in this field. We will cover individual tools supporting
   implementation and production phases as well as concepts for tool
   construction not necessarily targeted towards a specific single tool.
   We would also appreciate practical experiences with tools and
   comparisons between different tools.  We encourage the submission of
   new ideas on tools for hybrid message passing and shared memory
   programming and on tools for clusters with large numbers of nodes.

Focus

     * Debugging (off-line, on-line, threads)
     * Performance Analysis (manual and automatic)
     * Visualization (program flow, data)
     * Computational Steering
     * System-integrated load balancing
     * Instrumentation techniques
     * Integration of tools, compilers and operating systems
     * Tool infrastructures
     * Interoperable tool environments
     * Tool evaluation
     * Tool scalability for hundreds of nodes
     * Hybrid shared memory and message passing tools

Global Chair

   Prof. Dr. Helmar Burkhart

   Institut für Informatik

   University of Basel, Switzerland

   Email: burkhart@ifi.unibas.ch

Vice Chairs

   Prof. Rudolf Eigenmann

   School of Electrical and Computer Engineering

   Purdue University, USA

   Email: eigenman@ecn.purdue.edu


   Dr. Tomàs Margalef

   Computer Science Department

   Universitat Autònoma de Barcelona, Spain

   Email: tomas.margalef@uab.es

Local Chair

   Prof. Dr. Thomas Ludwig

   Institut für Informatik

   Ruprecht-Karls-Universität Heidelberg, Germany

   Email: t.ludwig@computer.org



------------------------------------------------------------
Performance Evaluation and Prediction

Topic 02

Description

   Parallel systems exist solely to achieve better performance than is
   possible on sequential systems.  To meet this objective,  it is
   critical that users can both measure performance on a given system and
   predict the performance for other systems. This workshop provides a
   forum for research in all areas of performance measurement and
   prediction.  Of particular interest are tools and systems that work
   with large-scale applications or large numbers (hundreds to thousands)
   of processors.


   In addition, approaches to understanding memory system performance are
   encouraged.



Focus

     * instrumentation for measurement and prediction
     * predicting performance as applications scale-up
     * measurement and modelling of grid middleware & applications
     * performance data analysis and visualization
     * evaluation and benchmarking
     * system and hardware monitoring
     * predictive performance models
     * case studies involving tuning of real applications
     * automatic performance analysis



Global Chair

   Prof. Jeff Hollingsworth

   Computer Science Department

   University of Maryland, USA

   Email: hollings@cs.umd.edu



Vice Chairs

   Prof. Allen D. Malony

   Department of Computer and

   Information Science

   University of Oregon, USA

   Email: malony@cs.uoregon.edu

   Prof. Jesús Labarta

   European Center for Parallelism of Barcelona

   Technical University of Catalonia, Spain

   Email: jesus@cepba.upc.es



Local Chair

   Prof. Thomas Fahringer

   Institute for Software Science

   University of Vienna, Austria

   Email: tf@par.univie.ac.at


------------------------------------------------------------
Scheduling and Load Balancing

Topic 03

Description

   Scheduling and load balancing techniques are crucial issues in the
   quest for performance in parallel and distributed applications. Such
   techniques can be provided either at the application level or at the
   system level, and both scenarios are of interest for this workshop.

   A special emphasis will be put on the characteristics of scheduling
   and load-balancing algorithms for new parallel and distributed systems
   like clusters, grid and global computing.

   Both theoretical and practical aspects will be covered.

Focus

     * theoretical foundations of scheduling algorithms
     * parallel graph partitioning algorithms
     * adaptable load balancing algorithms
     * actual implementations of scheduling and load-balancing algorithms
     * tools and environments for load balancing and scheduling
     * multi-level scheduling
     * on-line scheduling
     * scheduling on SMP clusters
     * load-balancing for grid and global computing
     * new features of scheduling algorithms (heterogeneity, hierarchy,
       large scale scheduling, etc.)
     * load balancing and middleware
     * evaluation and analysis of load balancing and scheduling
       techniques

Global Chair

   Prof. Yves Robert

   Laboratoire de l'Informatique du Parallélisme

   ENS Lyon, France

   Email: Yves.Robert@ens-lyon.fr

Vice Chairs

   Dr. A.J.C. van Gemund

   Delft University of Technology, Netherlands

   E-mail: a.j.c.vangemund@its.tudelft.nl

   Dr. Henri Casanova

   San Diego Supercomputing Center, USA

   E-mail: casanova@cs.ucsd.edu

Local Chair

   Dr. Dieter Kranzlmüller

   GUP Linz

   Johannes Kepler University Linz, Austria

   Email: dk@gup.uni-linz.ac.at


------------------------------------------------------------
Compilers for High Performance (Compilation and Parallelization Techniques)

Topic 4

Description

   This topic deals with all subjects concerning the automatic
   parallelization and the compilation of programs for high performance
   systems, from general-purpose platforms to specific hardware
   accelerators. This includes language aspects, program analysis,
   program transformations and optimizations for all resource utilization
   (processors, functional units, memory requirements, power consumption,
   code size, etc.).


   A (non-exclusive) selection of standard issues covered is listed
   below. The interplay between compiler technology and development and
   execution environments is also included. Target programming styles
   comprise the usual sequential imperative languages, but also very high
   level, data-parallel, object-oriented, and single-assignment
   languages. We also welcome submissions on practical experiences, -in
   particular, industrial case studies- to assess the benefits and
   limitations and the essential reasons responsible for success or
   failure of current automatic parallelization techniques and
   programming styles.

Focus

     * static analysis
     * program transformations
     * cache optimizations
     * automatic parallelization
     * scheduling, allocation, mapping
     * communication optimizations
     * code generation
     * languages (compilation aspects)
     * dynamic compilation
     * compiling for Grids and hybrid systems
     * compiling for chip multiprocessors and embedded systems

Global Chair

   Prof. Dr. Michael Gerndt
   Technische Universität München
   München, Germany
   Email: gerndt@in.tum.de

Vice Chairs

   Prof. Chau-Wen Tseng
   University of Maryland
   College Park, USA
   Email: tseng@cs.umd.edu

   Dr. Michael O'Boyle
   University of Edinburgh
   Edinburgh, UK
   Email: mob@dcs.ed.ac.uk

Local Chair

   Dr. Markus Schordan
   Lawrence Livermore National Laboratory
   Livermore, USA
   Email: schordan1@llnl.gov



------------------------------------------------------------
Parallel and Distributed Databases, Data Mining and Knowledge Discovery

Topic 05

Description

   To manage the very large amount of data today available, computer
   scientists are working on efficient systems, algorithms and
   applications that can handle and analyze very large databases.
   Intensive data consuming applications are running on very large
   databases (on data warehouses, on multimedia databases) with the task
   to extract information diamonds. Data mining is one of the key
   applications here. However, these intensive data consuming
   applications suffer from performance problems and single database
   sources. Introducing data distribution and parallel processing help to
   overcome resource bottlenecks and to achieve guaranteed throughput,
   quality of service, and system scalability. Distributed architectures
   supported by high performance networks and intelligent middleware
   offer parallel and distributed databases a great opportunity to
   support cost-effective everyday applications.

   We especially solicit submissions for either the Experience and
   Application Section, or the traditional System and Research Section.

Focus

Experience and Application Section 

     * data mining, knowledge discovery
     * multimedia applications
     * data warehousing and decision support
     * discovering structures in web data, web data mining
     * mobile computing and databases
     * web applications
     * data-intensive grids
     * case studies


System and Research Section 

     * query optimization and query processing
     * parallel algorithms for data mining
     * communication requirements for parallel data mining
     * data representation and storage for fast access
     * middleware and architectural issues
     * transaction processing
     * distributed knowledge discovery

Global Chair

   Prof. Bernhard Mitschang

   Institute of Parallel and Distributed Systems

   Universität Stuttgart, Germany

   Email: Bernhard.Mitschang@informatik.uni-stuttgart.de

Vice Chairs

   Prof. David Skillicorn

   Queen's University

   Kingston, Canada

   Email: skill@cs.queensu.ca

   Dr. Philippe Bonnet

   Datalogisk Institut

   Københavns Universitet, Denmark

   Email: bonnet@diku.dk

Local Chair

   Prof. Domenico Talia

   Dipartimento di Elettronica Informatica e Sistemistica

   University of Calabria, Italy

   Email: talia@deis.unical.it


------------------------------------------------------------
Grid Computing and Middleware Systems

Topic 06

Description

   Grid computing, streamlined by the successful Global Grid Forum (GGF),
   has become a major new research area over the past few years, with
   strong involvement from both academia and the computing industry.
   Although much progress has been made in the deployment of grid
   infrastructures, many challenges still lie ahead of us before the
   ultimate goal of the grid can be realized. The research issues cover
   many areas of computer science, ranging from fundamental problems
   (imposed by the sheer size of a grid), software engineering problems
   (due to the inherent complexity), and technical issues, to a demand
   for more application experience. Research on Grid technology,
   therefore, will greatly benefit from interactions with related areas
   of Computer Science, making Euro-Par an excellent platform to discuss
   such research issues.

Focus

     * Grid middleware
     * Resource management
     * Security
     * Programming languages and models
     * Scheduling and load balancing
     * Grid algorithms and applications
     * Distributed supercomputing
     * Peer-to-peer computing for the Grid
     * Management of large-scale distributed data
     * Portals

Global Chair

   Prof. Henri Bal

   Department of Mathematics and Computer Science

   Vrije Universiteit, The Netherlands

   Email: bal@cs.vu.nl

Vice Chairs

   Dr. Domenico LaForenza

   Information Science and Technologies Institute

   Italian National Research Council (CNR)

   Pisa, Italy

   Email: domenico.laforenza@cnuce.cnr.it

   Prof. Thierry Priol

   INRIA Rennes Research Unit, France

   Email: Thierry.Priol@irisa.fr

Local Chair

   Prof. Peter Kacsuk

   Computer and Automation Research Institute

   Hungarian Academy of Sciences

   Budapest, Hungary

   Email: kacsuk@sztaki.hu


------------------------------------------------------------
Applications on High-Performance Computers

Topic 07

Description

   Numerically intensive computing, such as large-scale simulations for
   scientific and engineering applications, requires sophisticated usage
   of highly parallel computers. The increase of availability,
   scalability and efficiency of PC clusters has led to increased
   interest in clusters and also in possible application in industry,
   business, and management. The recent development of middleware tools
   makes it possible to use computational or data grids to solve the
   largest classes of problems with requirements for highly heterogeneous
   computer resources.

   This topic aims at the development, implementation and lessons learned
   from the development and using of real industrial, engineering,
   scientific, and commercial applications on parallel/distributed
   computing systems including computational and data grids with special
   interest given to multidisciplinary applications.

   Papers describing the experience of porting industrial codes as well
   as the presentation of new applications developed for modern
   computational parallel/distributed environments are welcome. Interest
   will be focused on performance issues.

Focus

     * existing traditional industrial applications in computational
       fluid dynamics,  computational structural mechanics/dynamics,
       computational chemistry and biotechnology, environmental quality
       modelling, computational drug design, computational
       electromagnetic modelling,
     * new applications such as natural phenomena modelling, virtual
       reality, multimedia support, data compression, geographical
       information systems, data mining, data-intensive computing,
       cognitive recognition and others,
     * next generation software applications for business, engineering
       and management,
     * methodology for the development and implementation of large-scale
       grid-enabled applications for simulation and visualisation, with
       special interest on the applications that require real time
       response and interaction with the user. Possible examples cover
       pre-treatment planning in surgical procedures, flood prevention
       and protection, weather forecast and air pollution modelling,
       applications for physics analysis.

Global Chair

   Prof. Jacek Kitowski

   Institute of Computer Science and ACC CYFRONET UMM

   University of Mining and Metallurgy , Karkow, Poland

   Email: kito@icsr.agh.edu.pl

Vice Chairs

   Prof. Boleslaw K. Szymanski

   Department of Computer Science

   Rensselear Polytechnic Institute, USA

   Email: szymansk@cs.rpi.edu

   Prof. Andrzej M. Goscinski

   School of Information Technology

   Deakin University, Australia

   Email: ang@deakin.edu.au

Local Chair

   Dr. Peter Luksch

   Lehrstuhl für Rechnertechnik und Rechnerorganisation

   Institut für Informatik,

   Technische Universität München, Germany

   Email: Peter.Luksch@computer.org



------------------------------------------------------------
Parallel Computer Architecture and Instruction-Level Parallelism

Topic 08

Description

   Instruction-Level Parallelism and parallel processing techniques are
   present in most contemporary computing systems. The scope of this
   topic includes (but is not limited to) parallel computer
   architectures, processor architecture (architecture and
   microarchitecture as well as compilation), the impact of emerging
   microprocessor architectures on parallel computer architectures,
   innovative memory designs to hide and reduce the access latency,
   multi-threading, and the impact of emerging applications on parallel
   computer architecture design.

   Our aim is to bring together researchers in the fields of parallel
   computer architecture and processor architecture. We invite
   researchers with interest in both conventional and non-conventional
   approaches to participate. Papers are being sought on all aspects of
   parallel computer architecture, processor architecture and
   microarchitecture, including (but not limited to) the following list
   of topics.

Focus

     * parallel computer architecture
     * ILP architectures and designs
     * microarchitecture and implementation techniques
     * performance evaluation and benchmarking of processor architectures
     * multithreaded processors
     * single chip multiprocessors
     * memory system designs
     * multiprocessor and vector architectures
     * theoretical foundations of processor architectures
     * compilation techniques for parallel computer architectures
     * application-specific and embedded processors
     * stream processing microarchitectures
     * signal processors
     * network processors
     * reconfigurable processors
     * asynchronous processors

Global Chair

   Prof. Stamatis Vassiliadis

   Computer Engineering Laboratory

   Delft University of Technology, The Netherlands

   Email: S.Vassiliadis@et.tudelft.nl

Vice Chairs

   Prof. Nikitas J. Dimopoulos

   Electrical & Computer Engineering

   University of Victoria, Canada

   Email: nikitas@ECE.UVic.CA

   Dr. Jean-Froncois Collard

   Intel Compiler Lab, USA

   Email:  jean-francois.j.collard@intel.com

Local Chair

   Prof. Arndt Bode

   Lehrstuhl für Rechnertechnik und Rechnerorganisation

   Institut für Informatik

   Technische Universität München

   Email: bode@in.tum.de


------------------------------------------------------------
Distributed Algorithms

Topic 09

Description

   The wide acceptance of the internet standards and technologies, the
   emerging Grid structures makes it hard to imagine a situation in which
   it would be easier to argue about the importance of distributed
   algorithms than it is today.


   Euro-Par intends to provide a forum for researchers from academia and
   industry interested in distributed algorithms, including the areas of
   communications, active networks, real-time algorithms and operating
   systems issues. Innovative algorithms improving the security in
   distributed systems are of particular interest.

Focus

     * design and analysis of distributed algorithms (including
       performance analysis)
     * resource sharing in distributed systems
     * real-time distributed algorithms and systems
     * distributed algorithms in telecommunications
     * distributed mobile computing
     * cryptography, security and privacy in distributed systems
     * distributed fault-tolerance
     * efficient algorithms based on shared memory and distributed memory

Global Chair

   Prof. Jayadev Misra

   Departement of Computer Sciences

   University of Texas at Austin, Austin, USA

   Email: misra@cs.utexas.edu

Vice Chairs

   Prof. Wolfgang Reisig

   Institut für Informatik

   Humboldt-Universität zu Berlin, Germany

   Email: reisig@informatik.hu-berlin.de

   Dr. Michael Schöttner

   Abteilung Verteilte Systeme

   Universität Ulm, Germany

   Email: schoettner@informatik.uni-ulm.de

Local Chair

   Dr. Laurent Lefevre

   RESO / LIP

   Ecole Normale Supérieure de Lyon, France

   Email: laurent.lefevre@inria.fr


------------------------------------------------------------
Parallel Programming: Models, Methods and Programming Languages

Topic 10

Description

   This topic provides a forum for the presentation of the latest
   research results and practical experience in the development of
   parallel programs. Advances in algorithmic and programming models,
   design methods, languages, and interfaces are needed to produce
   correct, portable parallel software with predictable performance on
   different parallel and distributed architectures.

   The topic emphasises results that improve the process of developing
   high-performance programs, including high-integrity programs that are
   scalable with both problem size and complexity. Of particular interest
   are novel techniques by which parallel software can be assembled from
   reusable parallel components without compromising efficiency. Related
   to this is the need for parallel software to adapt, both to available
   resources and to the problem being solved.

   Where appropriate, contributions should demonstrate quantitative
   performance results in support of their claims, and address
   applications not adequately handled by well-established approaches.

Focus

     * Languages, libraries and interfaces for different parallel
       programming models (e.g. data-parallelism, task-parallelism,
       functional, object-oriented, logic, component-based, etc.).
     * Implementation and optimisation techniques for innovative parallel
       languages and programming models (e.g. threads, dataflow, tiling,
       skeletons, declarative languages, and generalised data-parallel
       approaches, etc.).
     * Performance models and their integration into the design of
       efficient parallel algorithms and programs (e.g. BSP, LogP, CGM,
       N-half and their alternatives, cost calculi and static performance
       prediction, profile-driven approaches).
     * Parallel programming paradigms and tools, their comparison and
       integration (e.g. data-parallel vs. task-parallel, coordination
       programming, performance analysis and debugging).
     * Methodological aspects of developing, optimizing and validating
       parallel programs (formalisms, semantics, specification, design,
       transformations, verification, etc.).
     * Software engineering for parallel and distributed systems (design
       patterns, portability, robustness, standardization, etc.).
     * Systematic approaches and programming models to support effective
       program development in grid environments.
     * Domain-specific parallel libraries and languages (e.g. for
       simulation, irregular and unstructured meshes, computational
       geometry, etc.).

Global Chair

   Prof. José  C. Cunha

   New University of Lisbon, Portugal

   Email: jcc@di.fct.unl.pt

Vice Chairs

   Dr. Marco Danelutto
   University of Pisa, Italy

   Email: marcod@di.unipi.it

   Prof. Peter H. Welch
   University of Kent, United Kingdom

   Email: P.H.Welch@ukc.ac.uk

Local Chair

   Dr. Christoph Herrmann

   Universität Passau, Germany

   Email: herrmann@fmi.uni-passau.de



------------------------------------------------------------
Numerical Algorithms and Scientific Engineering Problems

Topic 11

Description

   Fast and robust parallel algorithms for the basic problems of
   numerical mathematics are crucial for solving the problems in
   computational science and engineering that arise today.

   This workshop will be a forum for the presentation and discussion of
   new developments in the field of parallel numerical algorithms,
   covering all aspects from basic algorithms, software design and
   prototyping to efficient implementation on modern parallel
   architectures and performance analysis. Because of its importance for
   High Performance Scientific Computing applications, the parallel
   direct or iterative solution of large systems of linear and nonlinear
   equations will be of prime interest.

   However, contributions dealing with problems other than numerical
   linear and nonlinear algebra, or with general topics concerning
   parallel numerical methods are also welcome.

Focus

     * numerical linear algebra
     * large sparse or dense linear systems and eigensystems
     * nonlinear systems
     * fast transforms (wavelets, FFT)
     * discretized partial differential equations

Global Chair

   Prof. Iain Duff

   Computational Science and Engineering Department

   Rutherford Appleton Laboratory

   Oxfordshire, UK

   Email: I.S.Duff@rl.ac.uk

Vice Chairs

   Prof. Henk van der Vorst

   Mathematical Institute

   Utrecht University, The Netherlands

   Email: vorst@math.uu.nl

   Dr. Luc Giraud

   CERFACS

   Toulouse, France

   Email: giraud@cerfacs.fr

Local Chair

   Prof. Peter Zinterhof

   Department of Scientific Computing

   Salzburg University, Austria

   Email: peter.zinterhof@sbg.ac.at


------------------------------------------------------------
Architectures and Algorithms for Multimedia Applications

Topic 12

Description

In the recent years multimedia technology has emerged as a key technology,
mainly because of its ability to represent information in disparate forms as
a bit-stream. This enables everything from text to video and sound to be
stored, processed, and delivered in digital form. A great part of the
current research community effort has emphasized the delivery of the data as
an important issue of multimedia technology. However, the creation,
processing, and management of multimedia forms are the issues most likely to
dominate the scientific interest in the long run. The aim to deal with
information coming from video, text, and sound will result in a data
explosion. This requirement to store, process, and manage large data sets
naturally leads to the consideration of programmable parallel processing
systems as strong candidates in supporting and enabling multimedia
technology. Therefore, this fact taken together with the inherent data
parallelism in these data types makes multimedia computing a natural
application area for parallel processing. In addition to this, the concepts
developed for parallel and distributed algorithms are quite useful for the
implementation of distributed multimedia systems and applications. Thus, the
adaptation of these methods for distributed multimedia systems is an
interesting topic to be studied.

Focus

     * parallel and distributed architectures for multimedia
     * parallel multimedia computing servers
     * mapping multimedia applications to parallel and distributed
       architectures
     * system interfaces and programming tools to support multimedia
       applications on parallel processing systems
     * multimedia content creation, processing, and management using
       parallel architectures
     * parallel processing architectures of multimedia set-top boxes
     * parallel implementations of multimedia codecs
     * multimedia agent technology and parallel processing
     * "proof of concept" implementations and case studies

Global Chair

   Prof. Ishfaq Ahmad

   Computer Science Department

   The Hong Kong University of Science and Technology

   Email: iahmad@cs.ust.hk

Vice Chairs

   Prof. Pieter Jonker

   Department of Applied Physics

   Delft University of Technology,

   The Netherlands

   Email: pieter@ph.tn.tudelft.nl

   Dr. Bertil Schmidt

   School of Computer Engineering

   Nanyang Technological University, Singapore

   Email: asbschmidt@ntu.edu.sg

Local Chair

   Prof. Andreas Uhl

   Department of Scientific Computing

   Salzburg University, Austria

   Email: andreas.uhl@sbg.ac.at



------------------------------------------------------------
Theory and Algorithms for Parallel Computation

Topic 13

Description

   The goal of algorithm design and complexity theory in
   parallel/distributed computing is to study efficient algorithms for
   (and limitations on the complexity of) problems, taking into account
   such parallel complexity measures as the number of processing nodes,
   the amount of communication or other resources in addition to
   classical measures such as time and space. Research areas such as
   development of efficient parallel algorithms including new techniques
   on randomization and approximation, on realistic parallel computation
   models, communication complexity, parallel complexity classes, and
   lower bounds for specific problems have received a lot of attention in
   recent years, but many important problems remain open. We invite
   papers concerning investigations in these areas.

Focus

     * static algorithms and lower bounds for key computational problems
       in specific applications
     * models of parallel  and distributed computing (e.g., BSP, CGM,
       LogP, PRAM,  fixed processor networks, Boolean circuits, BDDs,
       ...)
     * deterministic, randomized or approximation algorithms for these
       problems
     * communication complexity
     * parallel complexity classes
     * emerging new paradigms of parallel computing (quantum computing,
       optical computing, biocomputing, ...)

Global Chair

   Prof. Christos Kaklamanis

   Computer Technology Institute and

   Department of Computer Engineering & Informatics

   University of Patras, Greece

   Email: kakl@ceid.upatras.gr

Vice Chairs

   Prof. Danny Krizanc

   Computer Science Group

   Mathematics Department

   Wesleyan University, USA

   Email: dkrizanc@wesleyan.edu

   Dr. Pierre Fraigniaud

   Laboratoire de Recherche en Informatique

   Université Paris-Sud, France

   Email: pierre@lri.fr

Local Chair

   Prof. Michael Kaufmann

   Wilhelm-Schickard-Institut für Informatik

   Universität Tübingen, Germany

   Email: mk@informatik.uni-tuebingen.de



------------------------------------------------------------
Routing and Communication in Interconnection Networks

Topic 14

Description

   This topic is devoted to communication in parallel computers, networks
   of workstations, and more widely distributed systems such as grids.
   All aspects of communication will be examined, including the design
   and implementation of interconnection networks and communication
   protocols, advances in system area and storage area networks, routing
   and communication algorithms, and the communication costs of parallel
   and distributed algorithms. Contributed papers are sought that present
   significant, original advances in the theory and/or practice of
   communication in on-chip interconnects, parallel computers, and
   distributed systems, up to grid computing infrastructures.
   Contributions addressing novel aspects such as techniques to reduce
   power consumption and/or heat dissipation are particularly welcome.

Focus

     * Interconnection networks
     * Routing algorithms
     * On-chip and power-efficient interconnects
     * Network adapters and high-speed system area networks for cluster
       computing
     * I/O architectures and storage area networks
     * Switch architectures
     * Lightweight and user-level communication protocols
     * Fault-tolerant and reconfigurable networks
     * Multimedia and QoS-aware communication
     * Network performance measurement and analysis
     * Communication costs of parallel and distributed algorithms
     * Collective communication and synchronization support for parallel
       computation

Global Chair

   Prof. José Duato

   Technical University of Valencia, Spain

   Email: jduato@gap.upv.es

Vice Chairs

   Prof. Olav Lysne

   Simula Research Lab and University of Oslo, Norway

   Email: olavly@simula.no

   Prof. Timothy Pinkston

   University of Southern California, USA

   Email: tpink@charity.usc.edu

Local Chair

   Prof. Hermann Hellwagner
   Institute of Information Technology

   University Klagenfurt, Austria

   Email: hermann.hellwagner@uni-klu.ac.at



------------------------------------------------------------
Mobile and Ubiquitous Computing

Topic 15

Description

   The development of small and powerful computing devices and,
   simultaneously, of wireless, mobile communication systems offers a
   great variety of new applications, summarized under the name of Mobile
   Computing. The phenomenal growth of those mobile computing devices,
   together with current trends in embedded systems and software,
   real-time interaction and omnipresent wireless networking fertilises
   the formation of a Ubiquitous Computing landscape, in which digital
   environments are aware of the presence of users, sensitive, adaptive
   and responsive to the users needs, habits and emotions and
   ubiquitously accessible for the user via natural interaction.

   This topic solicits papers dealing with the following mobile and
   ubiquitous computing elements: mobility, ubiquity, awareness,
   intelligence, and natural interaction. Mobility addresses solutions
   that help to make time, geographic, media and service boundaries less
   and less important. Ubiquity refers to a situation in which we are
   surrounded by a multitude of interconnected embedded systems, which
   are (mostly) invisible and moved into the background of our
   surrounding (workplace, building, home, outdoor). Awareness refers to
   the ability of the system to recognise and localise objects as well as
   people and their intentions. Intelligence refers to the fact that the
   digital surrounding is able to adapt itself to the people that live in
   it, learn from their behaviour, and possibly recognise as well as show
   emotion. Natural interaction finally refers to advanced modalities
   like natural speech- and gesture recognition, as well as
   speech-synthesis, which will allow a much more human-like
   communication with the digital environment than is possible today.

   The aim of the topic is to bring together, at Euro-Par 2003, computer
   scientists and engineers in the areas of wireless networking, mobile
   computing, and ubiquitous computing in order to present and share
   their ideas about the design and analysis of ubiquitous computing
   environments and the challenges imposed by the applications of mobile
   and ubiquitous computing.

Focus

     *      Mobile/wireless computing infrastructure
     *      Communication in mobile networks
     *      Mobility and QoS management
     *      Ad-hoc and personal area networks
     *      Media access techniques and terminals
     *      Ubiquitous/pervasive computing software architectures
     *      Ubiquitous access and context computing
     *      Smart devices and smart spaces
     *      Intelligent environments
     *      Sensors and actuators
     *      Positioning/tracking/authentication systems and technologies
     *      Mobile/ubiquitous/wearable computing scenarios
     *      Location-dependent/personalized wireless applications
     *      User interfaces and interaction models

Global Chair

   Prof. Max Mühlhäuser

   FG Telekooperation

   TU Darmstadt, Germany

   Email: max@informatik.tu-darmstadt.de

Vice Chairs

   Prof. Azzedine Boukerche

   Department of Computer Sciences University of North Texas, USA

   Email: boukerche@cs.unt.edu

   Dr. Karin Hummel

   Institute for Computer Science and Business Informatics

   University of Vienna, Austria

   Email: karin@ani.univie.ac.at

Local Chair

   Prof. Alois Ferscha

   Institut für Praktische Informatik, Gruppe Software

   Johannes Kepler Universität Linz, Austria

   Email: ferscha@soft.uni-linz.ac.at



------------------------------------------------------------
Distributed Systems and Distributed Multimedia

Topic 16

Description

   Euro-Par intends to provide a forum for researchers from academia and
   industry interested in distributed systems, including communication
   and operating systems aspects.

   For the first time at Euro-Par we want to lay a special emphasis on
   the questions of distributed multimedia systems. We believe that
   multimedia is one of the most important challenges of the next decade
   and therefore it is worth to set such a focus. We are especially
   interested in the questions of digital items in distributed multimedia
   systems as defined in MPEG-21.

Focus

     * Techniques and formal models for the design and analysis of
       distributed (multimedia) systems
     * Architectures and structuring mechanisms for parallel and
       distributed (multimedia) systems
     * Distributed (multimedia) operating systems
     * Concurrency, performance and scalability in distributed
       (multimedia) systems
     * Fault tolerance of distributed (multimedia) systems
     * Transparency in distributed (multimedia) systems
     * Media-, system- and application-level adaptation in distributed
       multimedia systems
     * Streaming and quality of service in distributed multimedia systems
     * Technologies and applications related to MPEG-4 and MPEG-7
       multimedia representation standards
     * Technologies and applications relying on the notion of digital
       item as defined in the MPEG-21 standard

Global Chair

   Prof. Fernando Pereira

   Electrical and Computers Department

   Instituto Superior Técnico

   Lisboa, Portugal

   Email: Fernando.Pereira@lx.it.pt

Vice Chairs

   Prof. Abdulmotaleb El Saddik

   School of Information Technology and Engineering (SITE),

   University of Ottawa, Canada

   Email: elsaddik@site.uottawa.ca  abed@mcrlab.uottawa.ca

   Dr. Roy Friedman

   Department of Computer Science,

   Technion - Israel Institute of Technology,

   Haifa, Israel
   E-mail: roy@cs.technion.ac.il

Local Chair

   Prof. Laszlo Böszörmenyi

   Institute of Information Technology

   University Klagenfurt, Austria

   Email: laszlo@itec.uni-klu.ac.at



------------------------------------------------------------
High-Performance Object-Oriented and Middleware Systems

Topic 17

Description

   This topic will focus on object-orientation in a broad range of topics
   (including parallelism, communication, distribution, and
   high-performance applications and systems) and Java in the broad area
   of high-performance computing (including engineering and scientific
   applications, simulations, and data-intensive applications).

Focus

   Object-Orientation (OO) in a broad range of Topics, including:

   ·        Parallelism

   ·        Communication

   ·        Distribution

   ·        High-Performance Applications and Systems.

   Java in the broad area of High-Performance Computing including:

   ·        Large Scale Enterprise Middleware

   ·        Scalable Grade Middleware -- Autonomic Systems

   ·        Engineering and Scientific Applications

   ·        Simulations and Data-intensive Applications.

Global Chair

   Prof. Geoffrey Fox

   Community Grids Laboratory

   Indiana University, USA

   gcf@indiana.edu

Vice Chairs

   Dr. Mark Bull

   Edinburgh Parallel Computing Centre (EPCC)

   University of Edinburgh, UK

   Email: M.Bull@epcc.ed.ac.uk

   Dr. Andrew Wendelborn

   Department of Computer Science
   University of Adelaide,  Australia

   Email: andrew@cs.adelaide.edu.au

Local Chair

   Prof. Michael Philippsen

   Institut für Informatik

   Univesität Erlangen-Nürnberg, Germany

   Email: philippsen@cs.fau.de



------------------------------------------------------------
Peer-to-Peer Computing

Topic 18

Description

   This Topic is devoted to High-Performance Computing on widely
   distributed systems utilizing Peer-to-Peer technologies. In contrast
   with the usual Client-Server organization scheme, these systems are
   (or attempt at being) highly decentralized, self-organizing with
   respect to the external context, and with a notion of balanced
   resource trading. Hence, each node within such a system can provide
   both Client and Server capability. In the long term, participating
   nodes may expect to be granted as much resources as they provide.

   Because of size, autonomy and high volatility of their resources, P2P
   platforms provide the opportunity for researchers to re-evaluate many
   fields of Distributed Computing, such as protocols, infrastructures,
   security, certification, fault tolerance, scheduling, performance,
   etc.

   This Topic focuses on High-Performance Computing in the broadest
   sense: putting together CPU cycles, acquiring input data, managing
   temporary and persistent data, interacting with the user, storing
   result files, etc. Work addressing new issues raised by the current
   trend for the convergence of Grid and P2P systems will be of
   particular interest: concerning installation, utilization,
   flexibility, scalability, etc.

   Authors wishing to demonstrate running systems and applications in
   addition to their research paper are invited to refer to the specific
   Demonstration Topic 19.

Focus

     * P2P platforms for HPC
     * Middleware, programming models, environments and toolkits for P2P
       HPC
     * P2P-aware algorithms for HPC
     * Large-scale data management for P2P HPC
     * Convergence between P2P and Grid systems
     * Performance monitoring, benchmarking, evaluation and modeling of
       P2P systems
     * Security, confidentiality in P2P HPC
     * Resource and service discovery in P2P systems
     * Structuring P2P systems
     * Utilizing intelligent approaches in P2P
     * Agent based support for P2P systems

Global Chair

   Prof. Luc Bougé

   IRISA, ENS Cachan, Brittany extension

   Rennes, France

   Email: Luc.Bouge@bretagne.ens-cachan.fr

Vice Chairs

   Dr. Bernard Traversat

   Project JXTA

   Sun Microsystems, SCA21-308

   Santa Clara, USA

   Email: Bernard.Traversat@sun.com

   Dr. Omer Rana

   Department of Computer Science

   Cardiff University, UK

   Email: O.F.Rana@cs.cardiff.ac.uk

Local Chair

   Dr. Franck Cappello,

   CNRS,

   LRI-Université Paris-Sud, France

   Email: Franck.Cappello@lri.fr



------------------------------------------------------------
Demonstrations of Parallel and Distributed Computing

Topic 19

Description

   Euro-Par solicitates, for the first time, papers describing original
   demonstrations in the area of parallel and distributed computing, and
   related to the eighteen Euro-Par conference topics. Demonstrators
   shall present live exemplars of tools, prototypes, or simulations
   showing feasible technology in parallel and distributed computing. It
   is expected that the demonstrations will provide feedback from the
   technology developer community on what has been achieved and to enable
   discussion of new technology and methods.

   Demonstrations which are related to European projects, grid computing
   etc. are particularly encouraged.

   Demonstrators will be provided with space for posters as well as
   networking and basic computing equipment to present their prototypes.

Submission Details

   Authors are invited to submit a 4 page demonstration paper following
   the submission procedure detailed here.

   Authors of a demonstration paper should:
     * state the topic (1.-18.) to which the demonstration is related,
     * state the originality of the submission in terms of the prototype
       demonstrated,
     * describe the mechanism for demonstrating the prototype at Euro-Par
       2003,
     * describe the original scientific content which is the basis for
       the demonstrated prototype (provide links to related research
       articles, technical reports, etc.)

   Authors of a demonstration paper may support their submissions by
   providing:
     * links to Web-interfaces for the prototype,
     * links to snapshot of the prototype,
     * links to videos-, and/or animations which show the functionality
       of the prototype.


Global Chair

   Prof. Ron Perrott

   School of Computer Science

   Queen's University Belfast, UK

   Email: r.perrott@qub.ac.uk  

Vice Chairs

   Prof. Henk Sips

   Faculty of Information Technology and Systems

   Technical University of Delft

   The Netherlands

   Email: H.J.Sips@its.tudelft.nl

   Dr. Jarek Nabrzyski

   Poznan Supercomputing and Networking Center

   Poznan, Poland

   Email: naber@man.poznan.pl

Local Chair

   Michael Kropfberger

   Institute of Information Technology

   University of Klagenfurt, Austria

   Email: mike@itec.uni-klu.ac.at