Blar i TKD - Institutt for informasjonsteknologi på emneord "Shallow water simulations"

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    • 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, 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 ...

    • 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 ...

    • Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting 

      Holm, Håvard Heitlo; Sætra, Martin Lilleeng; van Leeuwen, Peter Jan (Journal of Computational Physics: X;Volume 6, March 2020, 100053, Journal article; Peer reviewed, 2020-03-04)
      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 ...