Special Session on

High Performance Computing in Modelling and Simulation (HPCMS)

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 first HPCMS workshop which was held in Turin last year, we are glad to invite you to our second edition. 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. 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, and social), engineering, medicine, and humanities problems
  • Hardware approaches of high performance computing in modeling and simulation

Important dates

Paper submission: 25th Aug. 2014, 1st Sept. 22nd Sept. 2014
Acceptance notification: 25th Oct. 2014 2nd Nov. 2014
Camera ready due: 20th Nov 2014
Registration due: 20th Nov. 2014
Conference: 4th - 6th Mar 2015


  • W. Spataro
  • G. Sirakoulis
  • G.A. Trunfio
  • D. Marocco
  • D. D'Ambrosio

Programme Committee:

  • A. Amanatiadis, Democritus University of Thrace, Greece
  • Donato D’Ambrosio, University of Calabria, Italy
  • Savvas Chatzichristofis, Centre for Research and Technology Hellas (CE.R.T.H.), Greece
  • Ivanoe De Falco, ICAR-CNR, Italy
  • 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
  • Rolf Hoffmann, Darmstadt University, Germany
  • Ioannis Karafyllidis, Democritus University of Thrace, Greece
  • Christos Kartsaklis, Oak Ridge National Laboratory, USA
  • Yaroslav Sergeyev, University of Calabria, Italy
  • Davide Marocco, Plymouth University, United Kingdom
  • Rocco Rongo, University of Calabria, Italy
  • Georgios Sirakoulis, Democritus University of Thrace, Greece
  • William Spataro, University of Calabria, Italy
  • Pawel Topa, AGH University of Science and Technology, Poland
  • 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
  • Giuseppe Filippone, Plymouth University, United Kingdom
  • Massimo Cafaro - University of Salento, Italy

Submission guidelines

Prospective authors should submit a full paper not exceeding 8 pages in length (and in the Conference proceedings format – double column, 10pt) including a 150-200 word abstract. To facilitate a double blind reviewing process, the first page of the paper should contain only the title and abstract and reference entries to the author’s own work should be substituted with the string “omitted for blind review”.

Papers submitted for the special session must be submitted through the conference submission system with an indication of the name of the special session. Papers must adhere to the formatting rules of the conference and will undergo the same review process as papers submitted to the main track.


All accepted papers will be included in the same volume, published by the Conference Publishing Services (CPS). The Final Paper Preparation and Submission Instructions will be published after the notification of acceptance. Authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be submitted to IEEE explore, CSDL, and for indexing among others to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge.

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. Regarding last year’s edition, a selected number of papers of the workshop will be published this year on the ISI Journal “International Journal of High Performance and Applications” (I.F. 1.3).


W. Spataro
G. Sirakoulis
G. A. Trunfio
D. Marocco
D. D'Ambrosio

Department of Mathematics and Computer Science
University of Calabria
e-mail: spataro at unical.it

Department of Electrical & Computer Engineering
Democritus University of Thrace
e-mail: gsirak at ee.duth.gr

Department of Architecture, Planning and Design
University of Sassari
e-mail: trunfio at uniss.it

School of Computing and Mathematics
Plymouth University
United Kingdom
e-mail: davide.marocco at plymouth.ac.uk

Department of Mathematics and Computer Science
University of Calabria
e-mail: d.dambrosio at unical.it