36
6 BSc, 27 MSc, and 3 PhD theses completed
High Performance Computing Research Group
High-Level Algorithms, Peak Hardware Performance, Real-World Impact
We design domain-specific abstractions and performance-portable software for modern heterogeneous systems. Our work connects algorithm theory, compiler/runtime design, and production-scale applications in aerospace, public health, medical imaging, and more.
12
Student Research Competition (TDK) projects completed with HPC lab mentoring
6
Award-winning National Student Research Competition (OTDK) works
Institutional Identity
The HPC Group operates at Pázmány Péter Catholic University, Faculty of Information Technology and Bionics (PPKE ITK), where interdisciplinary engineering and life-science research are intentionally integrated.
Convergence by Design
PPKE ITK was founded on a convergence model linking computer engineering, electronics, and bionics. This gives our group a naturally diverse application base for advanced simulation and data analysis.
Flat Research Organization
With 33 research groups in a collaborative environment, we can rapidly form cross-disciplinary teams around complex computational challenges.
Leadership
The group is led by Dr. István Reguly, full Professor, with expertise in high-performance computing, CFD, and domain-specific language design.
Core Research Programs
We raise abstraction for domain scientists while retaining efficient mapping to modern hardware through active-library DSL frameworks and automated backend optimization.
OP2 for Unstructured Meshes
Decoupled access-execute modeling with sets, datasets, and mappings. Backends include OpenMP, CUDA, HIP/SYCL, and MPI for distributed systems.
OPS for Structured Multi-block Grids
Code-generation driven stencil optimization with runtime loop tiling for memory-bound workloads, delivering near hand-tuned performance.
Application-oriented Research
We collaborate with a wide range of engineers, scientists, and domain experts to speed up applications, unlocking new insights and capabilities.
Socio-Economic and Scientific Impact
Our frameworks are deployed in high-value domains where performance and correctness directly affect policy, engineering, and medicine.
Public Health
PanSim enabled broad scenario testing for COVID-19 interventions including mobility, masking, and school policies under uncertainty.
Aerospace CFD
Through collaborations including Rolls-Royce, the Universities of Warwick, Southampton, and Nottingham, our methods support the modeling of airflow, turbulence, combustion, and more.
Medical Imaging & Bioinformatics
GPU-accelerated diffusion MRI and whole-cell simulation projects provide scalable computational tools for modern neuroimaging and personalized medicine research.
Build the Next Generation of Scientific Software
We welcome MSc, PhD, and postdoctoral researchers interested in heterogeneous computing, DSLs, and high-impact interdisciplinary applications.