High Performance Computing in Modelling and Simulation (HPCMS)
HPCMS website: https://sites.google.com/unical.it/pdp-hpcms
Aims and Scope
The development of models that allow computers to simulate the evolution of artificial and natural systems is central to advancing knowledge across scientific and engineering disciplines. In recent decades, growing computational power has greatly expanded the scope of such methodologies, enabling their application in research, industry, and the quantitative study of complex systems. This progress has fostered both the extensive use of numerical methods for solving differential equation systems (e.g., FEM, FDM, PIC) and the exploration of alternative paradigms such as Cellular Automata, Genetic Algorithms, Neural Networks, and Swarm Intelligence. These complementary approaches have proven particularly effective when conventional simulation techniques are constrained by spatial or temporal limitations, opening new possibilities for modelling complex phenomena.
Now in its twelfth edition at PDP, the HPCMS Workshop aims to serve as a platform for a multidisciplinary community of scholars, researchers, developers, educators, practitioners, and experts from leading universities, institutions, agencies, and companies in Computational Science. Its mission is to foster the exchange of perspectives on trends, challenges, and state-of-the-art advances in computational problems and high-performance computing, with applications spanning engineering, physics, chemistry, biology, geology, medicine, ecology, sociology, traffic control, economics, and beyond.
Topics of interest include (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, Sycl and CUDA 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
- Performance models and their integration into the design of efficient parallel algorithms for heterogeneous platforms
- Hardware approaches (e.g., FPGAs, Neuromorphic computing, etc) of high performance computing in modeling and simulation
- HPC Applications in Quantum Computing (e.g., Optimization and Scheduling, Simulation, etc)
Important dates
Paper submission deadline: 31 October 2025
Author notification: 10 December 2025
Camera ready due: 25 January 2026
Conference: 25 – 27 March 2026
Submission guidelines
Authors should submit a full paper not exceeding 8 pages in the IEEE Conference proceedings format (IEEEtran, double-column, 10pt) and follow format guidelines found at https://www.ieee.org/conferences/publishing/templates.html.
For submission, please refer to the Easychair submission system as indicated in the Main Conference webpage, and make sure that you select the “High Performance Computing in Modeling and Simulation (HPCMS)” track.
Double-bind review: the first page of the paper should contain only the title and abstract; in the reference list, references to the authors own work should appear as “omitted for blind review” entries.
Chairs
William Spataro, University of Calabria, Italy (contact: william.spataro@unical.it)
Giuseppe A. Trunfio, University of Sassari, Italy
Rocco Rongo, University of Calabria, Italy
Andrea Giordano, ICAR-CNR, Italy
Alessio De Rango, University of Calabria, Italy
Program Committee
Gladys Utrera, Universitat Politècnica de Catalunya. Barcelona, Spain
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
Ioakeim Georgoudas, Democritus University of Thrace, Greece
Marco Beccutti, University of Torino, Italy
Marisa Gil, Universitat Politècnica de Catalunya, Spain
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
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
Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy
Xavier Martorell, Barcelona Supercomputing Center and Universitat Politècnica de Catalunya, Spain
Davide Macrì, ICAR-CNR, Italy