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CALL FOR PAPERS:
NUMTA Special Session on High Performance Computing in Modelling
and
Simulation (NUMTA2019-HPCMS)
TH Le Castella Village
Le Castella – Isola Capo Rizzuto
Crotone, Italy
DEADLINE for One-page Abstract submission: March 18, 2019
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Model development for the simulation of the evolution of
artificial
and natural systems is essential for the advancement of Science.
The
increasing power of computers has allowed to considerably extend
the
application of computing methodologies in research and industry,
but
also to the quantitative study of complex phenomena. This has
permitted a broad application of numerical methods for
differential
equation systems (e.g., FEM, FDM, etc.) on one hand, and the
application of alternative computational paradigms, such as
Cellular
Automata, Genetic Algorithms, Neural networks, Swarm Intelligence,
etc., on the other. These latter have demonstrated their
effectiveness
for modelling purposes when traditional simulation methodologies
have
proven to be impracticable.
An important mission of the HPCMS Special Session within the NUMTA
2019 3rd International Conference and Summer School is to provide
a
platform for a multidisciplinary community composed of scholars,
researchers, developers, educators, practitioners and experts from
world leading Universities, Institutions, Agencies and Companies
in
Computational Science, and thus in the High Performance Computing
for
Modelling and Simulation field.
The session intent is to offer an opportunity to express and
confront
views on trends, challenges, and state-of-the art in diverse
application fields, such as engineering, physics, chemistry,
biology,
geology, hydrology, medicine, ecology, traffic control, economy,
etc.
Topics of interest include, but are not limited to, the following:
- High-performance computing in computational science:
intra-disciplinary and multi-disciplinary research applications
- Complex systems modelling and simulation
- Cellular Automata, Genetic Algorithms, Neural networks, Swarm
Intelligence implementations
- Integrated approach to optimization and simulation
- MPI, OpenMP, GPGPU applications in Computational Science
- Optimization algorithms, modelling techniques related to
optimization in Computational Science
- High-performance Software developed to solve science (e.g.,
biological, physical, earth science and social), engineering,
medicine, and humanities problems
- Hardware approaches of high performance computing in modeling
and simulation
Submission
One-page abstract should be submitted before March 18, 2019
EasyChair
system
https://easychair.org/conferences/?conf=numta2019 (please
follow the EasyChair hints to correctly prepare and submit your
abstract). After acceptance, the authors can submit their full
papers
(end of May) as reported on the NUMTA main web page
(
http://si.dimes.unical.it/~yaro/numta2019/index.php)
More information about the HPCMS Workshop and the general NUMTA
2019
conference can be found at:
http://si.dimes.unical.it/~yaro/numta2019/index.php
Organizers
William Spataro – University of Calabria (Italy)
Donato D’Ambrosio – University of Calabria (Italy)
Rocco Rongo – University of Calabria (Italy)
Andrea Giordano – ICAR-CNR (Italy)
Scientific Committee
Angelos Amanatiadis, Democritus University of Thrace, Greece
Donato D’Ambrosio, University of Calabria, Italy
Pawel Topa, AGH University of Science and Technology, Poland
Gianluigi Folino, ICAR-CNR, Italy
Lou D’Alotto, York College/CUNY, New York, USA
Antonios Gasteratos, Democritus University of Thrace, Greece
Ioakeim Georgoudas, Democritus University of Thrace, Greece
Marco Beccutti, University of Torino, Italy
Rolf Hoffmann, Darmstadt University, Germany
Ioannis Karafyllidis, Democritus University of Thrace, Greece
Yaroslav Sergeyev, University of Calabria, Italy
Antisthenis Tsompanas, University of the West of England, UK
Rocco Rongo, University of Calabria, Italy
Georgios Sirakoulis, Democritus University of Thrace, Greece
William Spataro, University of Calabria, Italy
Giuseppe A. Trunfio, University of Sassari, Italy
Marco Villani, University of Modena and Reggio Emilia, Italy
Jaroslaw Was, AGH University of Science and Technology, Poland
Davide Spataro, ASML, The Netherlands
Massimo Cafaro, University of Salento, Italy
Andrea Giordano, ICAR-CNR, Italy
Mario Cannataro, University Magna Graecia of Catanzaro, Italy
Gihan R. Mudalige, University of Warwick, UK
Alessio De Rango, University of Calabria, Italy
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William Spataro
Department of Mathematics & Computer Science
High Performance Computing Center
University of Calabria
I-87036 Arcavacata di Rende (CS)
Italy
Phone(s) : +39.0984.49.3691 / 4875 / 6464
Fax : +39.0984.493570
Member of the OpenCAL Team (https://github.com/OpenCALTeam)
Web: www.mat.unical.it/spataro
Email: spataro@unical.it
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