Head of Research Group: Prof. István Zoltán REGULY
Members of the Group: Balázs DRÁVAI, Kevin Nava GARCIA
Contact: reguly.istvan@itk.ppke.hu
The research group leverages high-performance computing across scientific fields. Our objective is to enable diverse disciplines, from epidemic modeling to jet engine design, to unlock the potential of modern computing architectures - multi-core processors, GPUs, and supercomputers. We achieve this without requiring field experts to understand these systems, allowing engineers and physicists to describe problems efficiently and concisely without dealing with parallel hardware details.
Collaborating with international teams, we develop the OPS and OP2 domain-specific languages (for structured and unstructured meshes), making this approach accessible to major industrial and academic partners . Working with faculty researchers and global groups, we also developed the PanSim epidemic modeling environment. It realistically simulates the movement and interaction of millions of agents, supporting intervention planning and preparation for a more effective response to the next major pandemic.
The high-fidelity simulation of aircraft engines enables the design and development of effective airplanes. The simulation process is computationally intensive - thanks to our research it can be run on the largest supercomputers in the world, built with the latest massively parallel CPUs and GPUs.
Future research directions, collaboration opportunities
The group is continuously looking for collaboration with groups in fields relying on computational modeling, where a significant increase in computational efficiency could lead to a qualitative leap in modeled systems.
Key publications
- Siklósi, B., Sharma, P. K., Lusher, D. J., Reguly, I. Z., & Sandham, N. D. (2025). Reduced and mixed precision turbulent flow simulations using explicit finite difference schemes. FUTURE GENERATION COMPUTER SYSTEMS, 108111.
- Polcz, P., Reguly, I. Z., Tornai, K., Juhász, J., Pongor, S., Csikász-Nagy, A., & Szederkényi, G. (2025). Smart epidemic control: A hybrid model blending ODEs and agent-based simulations for optimal, real-world intervention planning. PLOS COMPUTATIONAL BIOLOGY, 21(5), e1013028.
- Prabhakar, A., Goddard, C. R., Amirantec, D., Reguly, I. Z., Gerstenberger, A., Suhrmann, J. F., ... & Mudalige, G. R. (2022). Virtual certification of gas turbine engines-visualizing the DLR Rig250 compressor. THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE, AND ANALYSIS
