• Agile supervision of bachelor, master, and PhD theses 

      Brodtkorb, André R. (Nordic Journal of STEM Education;Vol 3 No 1 (2019): MNT-Konferansen 2019, 28. - 29. mars, Tromsø, Journal article; Peer reviewed, 2019-03-19)
      Supervision of students can often require a significant mental effort from the supervisor to be effective for the students. When supervising one or two students it is relatively easy to remember the context for each students ...
    • Coastal ocean forecasting on the GPU using a two-dimensional finite-volume scheme 

      Brodtkorb, André R.; Holm, Håvard Heitlo (Tellus. Series A, Dynamic meteorology and oceanography;Volume 73, 2021 - Issue 1, Peer reviewed; Journal article, 2021-05-17)
      In this work, we take a modern high-resolution finite-volume scheme for solving the rotational shallow-water equations and extend it with features required to run real-world ocean simulations. Our contributions include a ...
    • Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs 

      Holm, Håvard Heitlo; Sætra, Martin Lilleeng; Brodtkorb, André R. (Springer Proceedings in Mathematics & Statistics;volume 323, Chapter; Peer reviewed; Conference object, 2020-06-10)
      In this work, we perform fully nonlinear data assimilation of ocean drift trajectories using multiple GPUs. We use an ensemble of up to 10000 members and the sequential importance resampling algorithm to assimilate ...
    • 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 (Communications in Computational Physics;Volume 27, Issue 4, Journal article; Peer reviewed, 2020-05-24)
      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 (Computation;Volume 8, Issue 1, Journal article; Peer reviewed, 2020-01-06)
      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 ...
    • Performance and Energy Efficiency of CUDA and OpenCL for GPU Computing using Python 

      Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng (Advances in Parallel Computing;Volume 36: Parallel Computing: Technology Trends, Journal article; Peer reviewed, 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; ...