• Evaluation of selected finite-difference and finite-volume approaches to rotational shallow-water flow 

      Holm, Håvard Heitlo; Brodtkorb, André R.; Brostrøm, Gøran; Christensen, Kai Håkon; Sætra, Martin Lilleeng (Journal article; Peer reviewed, 2020)
      The shallow-water equations in a rotating frame of reference are important for capturing geophysical flows in the ocean. In this paper, we examine and compare two traditional finite-difference schemes and two modern finite-volume ...
    • GPU Computing with Python: Performance, Energy Efficiency and Usability 

      Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng (Journal article; Peer reviewed, 2020)
      In this work, we examine the performance, energy efficiency, and usability when using Python for developing high-performance computing codes running on the graphics processing unit (GPU). We investigate the portability of ...
    • Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting 

      Holm, Håvard Heitlo; Sætra, Martin Lilleeng; van Leeuwen, Peter Jan (Peer reviewed; Journal article, 2020)
      Forecasting of ocean drift trajectories are important for many applications, including search and rescue operations, oil spill cleanup and iceberg risk mitigation. In an operational setting, forecasts of drift trajectories ...
    • Performance and Energy Efficiency of CUDA and OpenCL for GPU Computing using Python 

      Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng (Peer reviewed; Journal article, 2020)
      In this work, we examine the performance and energy efficiency when using Python for developing HPC codes running on the GPU. We investigate the portability of performance and energy efficiency between CUDA and OpenCL; ...