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Research > Research groups > High-performance Computing Group

HPC High-performance Computing Group

Ambition: We want to improve the state-of-the-art of various subjects in the research field of high-performance computing (HPC), to help advance computational science, engineering and AI/ML.

Contact

  • Xing Cai
    Xing Cai Group leader
  • Digital infrastructure and security (DIS) Section

Projects

  • High-resolution and cell-resolved simulation of cardiac electrophysiology
  • MICROCARD-2: Numerical modeling of cardiac electrophysiology at the cellular scale
  • ODISSEE: Using AI to cope with data deluge from SKAO and CERN HL-LHC
  • eX3: Experimental Infrastructure for Exploration of Exascale Computing

Members

  • Picture of Tor Skeie
    Tor Skeie University of Oslo
  • Picture of Håkon Kvale Stensland
    Håkon Kvale Stensland University of Oslo
  • Picture of Joakim Sundnes
    Joakim Sundnes Simula Research Laboratory & University of Oslo
  • Picture of Alessandro Gatti
    Alessandro Gatti University of Oslo PhD student

Available master projects

Interested master students can browse through these introductory slides first.

  • Vulnerability analysis of distributed AI systems with respect to network faults
  • How costly is memory traffic on AMD multicore CPUs?
  • High-performance processing pipelines for realistic heart simulations
See all available master's theses
Published Jan. 16, 2026 2:28 PM - Last modified Oct. 5, 2026 4:33 PM
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