CALL FOR PAPERS
1st Special Session on Modelling and Simulation at the Converge of HPS, AI and Data-Driven (HPCMS)
22nd IEEE International eScience Conference (eScience’26)
Naples, Italy
September 28-October 2, 2026
https://sites.google.com/unical.it/e-science-hpcms26
Extended Deadline: June 15th, 2026
Contact: William Spataro – spataro@unical.it
AIMS AND SCOPE
The development of computational models capable of simulating the behaviour and evolution of natural and engineered systems remains a cornerstone of modern science and engineering. Today, this paradigm is undergoing a profound transformation driven by the convergence of High Performance Computing (HPC), data-intensive science, and artificial intelligence.
The rapid emergence of heterogeneous and exascale architectures, combined with advances in GPU computing and distributed workflows, is reshaping how simulations are designed, executed, and integrated with data. Traditional numerical methods for solving differential systems, such as Finite Element Methods (FEM), Finite Difference Methods (FDM), and Particle-In-Cell (PIC) approaches, are increasingly complemented by data-driven and hybrid techniques, including machine learning, physics-informed neural networks (PINNs), surrogate modelling, and evolutionary and swarm-based algorithms. These approaches are enabling new capabilities for tackling multi-scale and multi-physics problems, overcoming computational and data constraints, and supporting the development of digital twins and real-time simulation frameworks.
Within this evolving landscape, the HPCMS Workshop at eScience 2026 aims to bring together a multidisciplinary community of researchers, developers, and practitioners working at the intersection of modelling, simulation, and advanced computing. The workshop will provide a platform to discuss emerging methodologies, software ecosystems, and best practices for scalable, portable, and sustainable computational science.
By fostering dialogue across disciplines – including engineering, physics, life sciences, environmental sciences, and socio-economic systems – the workshop seeks to highlight innovative solutions to complex real-world challenges and to promote the next generation of computational science methodologies.
TOPICS
• High Performance Computing in computational science: intra-disciplinary and multi-disciplinary research applications
• Integration of HPC and AI for scientific discovery
• Scalable and heterogeneous computing (CPU–GPU, accelerators, exascale systems)
• Data-driven modelling and simulation workflows
• Digital twins and real-time simulation
• energy-efficient and sustainable HPC
• MPI, OpenMP, SYCL, and CUDA applications in Computational Science
• Optimization algorithms and modelling techniques related to optimization in Computational Science
• Implementations of Cellular Automata, Genetic Algorithms, Neural Networks, and Swarm Intelligence
• HPC applications in Quantum Computing (e.g., optimization and scheduling, simulation, etc.)
• Performance models and their integration into the design of efficient parallel algorithms for heterogeneous platforms
• Hardware approaches to HPC in modelling and simulation (e.g., FPGAs, neuromorphic computing, etc.)
• High-performance software designed to address scientific (e.g., biological, physical, social), engineering, medical, and humanities problems
IMPORTANT DATES
Paper submission deadline: 18 May 2026 15 June 2026 (Extended)
Acceptance notification: 29 June 2026
Camera ready due: 7 August 2026
Conference: Sept. 28 – Oct. 2, 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 Conference webpage here, selecting the Modelling and Simulation at the Convergence of HPC, AI, and Data-Driven Science (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
Giuseppe A. Trunfio – University of Sassari, Italy
Rocco Rongo – University of Calabria, Italy
Andrea Giordano – ICAR-CNR, Italy
HPCMS Program Committee
Gladys Utrera, Universitat Politecnica 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 Politecnica de Catalunya, Spain
Antisthenis Tsompanas, University of the West of England, UK
Rocco Rongo, University of Calabria, Italy
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
Alessio De Rango, University of Calabria, Italy
Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy
Xavier Martorell, Barcelona Supercomputing Center and Universitat Politecnica de Catalunya, Spain
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