EuroCC@Greece aims to strengthen the academic ecosystem by facilitating access to High-Performance Computing (HPC) resources, training, and expertise. Through services such as Access2HPC, researchers and academic institutions receive guidance on utilizing national and European HPC infrastructure efficiently. Additionally, Train4HPC provides tailored training programs, including online and physical workshops, a Greek Massive Open Online Course (MOOC), and industrial internships to enhance practical skills. These efforts ensure that students, faculty, and researchers can leverage HPC, Artificial Intelligence (AI), and High-Performance Data Analytics (HPDA) for advanced research and innovation. To further support academia, EuroCC@Greece offers Code4HPC, which provides high-level optimization support for HPC, ML, and AI code development, enabling researchers to enhance performance and scalability. Additionally, thematic events focused on HPC, HPDA, and AI create opportunities for knowledge exchange, funding access, and interdisciplinary cooperation, helping academic institutions stay at the forefront of technological advancements.

Our service portfolio includes:

• • Access2HPC 
    • Consultation on how to successfully gain access to national or European HPC Infrastructure. We provide guidance on identifying the most suitable HPC resources and navigating the access process to ensure efficient utilization of computational capabilities
  • Train4HPC
    • The training service includes the following:
      • Series of training events (https://eurocc-greece.gr/hpc-training-series/ )
      • Repository of relevant video lectures (https://eurocc-greece.gr/video-lectures/ ).
      • A Greek Massive Open Online Course (MOOC) for HPC (https://nationaldigitalacademy.gov.gr/mathimata/episthmh-ypologistwn-5/eisagwgh-stous-ypologistes-ypshlwn-epidosewn-418 ).

• • Code4HPC

• • • High-level support in optimizing HPC, ML, and AI code development for enhanced performance and scalability.

Publications

The listed publications on the Greek supercomputer ARIS (https://www.hpc.grnet.gr/en/publications/ ), showcase the extensive use of high-performance computing (HPC) across multiple scientific fields, driving advancements in computational modeling and data analysis. 

• In fluid dynamics, HPC powers deep learning models for super-resolution imaging and turbulent flow reconstruction, along with complex multi-phase flow simulations. 
• Materials science benefits from HPC-driven machine learning and molecular dynamics, refining interatomic potentials for pharmaceuticals, and investigating polymer mechanics. 
• Computational chemistry leverages quantum mechanical calculations for thermoelectric materials, electronic structures, and drug binding studies. 
• Astrophysics research utilizes HPC for modeling neutron star thermoelectric effects and pulsar equations. In energy systems, large-scale computational modeling supports the co-optimization of reserves and electricity markets. 
• Atmospheric and oceanic sciences apply HPC to turbulence modeling in air pollution studies, weather forecasting, and sea surface simulations.
• Additionally, HPC enhances radiation modeling for space applications and Monte Carlo-based dosimetry calculations, underscoring its vital role in advancing interdisciplinary research.