High Performance Computing in Modeling

and Simulation

The development of models through which computers can simulate the evolution of artificial and natural systems is fundamental for the advancement of Science. In the last decades, 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.
Following the success of our past HPCMS workshops at PDP (since 2014), we are glad to invite you to our fifth edition which will take place in Cambridge (UK).
An important mission of the HPCMS Workshop 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. HPCMS 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, medicine, ecology, sociology, traffic control, economy, etc.
As for previous editions, organizers of the HPCMS session are planning a Special Issue of an important international ISI Journal, based on distinguished papers that will be accepted for the session. For instance, a selected number of papers of the past workshop editions have been published on the ISI Journals “International Journal of High Performance Computing Applications” and “Concurrency and Computation: Practice and Experience”.

Important Dates:


Paper submission: 3rd Nov 2017
Acceptance notification: 1st Dic 2017
Camera ready due: 22nd Dic 2017
Conference: 21st - 23rd Mar 2018

Topics:

  • 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, and social), engineering, medicine, and humanities problems
  • Hardware approaches of high performance computing in modeling and simulation

Programme Co-chairs:

William Spataro, University of Calabria, Italy, <spataro[AT]unical[DOT]it>

Georgios Sirakoulis, Democritus University of Thrace, Greece, <gsirak[AT]ee[DOT]duth[DOT]gr>

Giuseppe A. Trunfio, University of Sassari, Italy, <trunfio[AT]uniss[DOT]it>


Programme 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, University of Calabria, Italy

Massimo Cafaro, University of Salento, Italy

Mario Cannataro, University Magna Graecia of Catanzaro, Italy

Gihan R. Mudalige, University of Warwick, UK