Blar i NTNU Open på forfatter "Sætra, Martin Lilleeng"
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Combining Barotropic and Baroclinic Simplified Models for Drift Trajectory Predictions
Beiser, Florian; Holm, Håvard Heitlo; Sætra, Martin Lilleeng; Kristensen, Nils Melsom; Christensen, Kai Håkon (Journal article, 2024)The shallow-water equations are often used as a classical simplified ocean model for barotropic ocean dynamics. The same equations can also be used to model simplified baroclinic dynamics through the reduced-gravity model. ... -
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; ...