Norwegian version
Martin Lilleeng Sætra

Martin Lilleeng Sætra

Fields of study

Academic disciplines

Applied mathematics   Mathematic modelling and numerical methods   Simulation, visualisation, signal processing, image analysis

Scientific publications

Beiser, Florian; Holm, Håvard Heitlo; Sætra, Martin Lilleeng ; Kristensen, Nils Melsom; Christensen, Kai Håkon (2024). Combining barotropic and baroclinic simplified models for drift trajectory predictions. 19 p. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology.
https://doi.org/10.1080/1755876X.2024.2364975

Tedesco, Paulina Souza; Rabault, Jean; Sætra, Martin Lilleeng ; Kristensen, Nils Melsom; Aarnes, Ole Johan; Breivik, Øyvind; Mauritzen, Cecilie; Sætra, Øyvind (2024). Bias correction of operational storm surge forecasts using Neural Networks. Ocean Modelling. Vol. 188.
https://doi.org/10.1016/j.ocemod.2024.102334

Brodtkorb, Andre ; Sætra, Martin Lilleeng (2022). Simulating the Euler equations on multiple GPUs using Python. Frontiers in Physics. Vol. 10.
https://doi.org/10.3389/fphy.2022.985440

Holm, Håvard Heitlo; Brodtkorb, André R. ; Brostrøm, Gøran; Christensen, Kai Håkon; Sætra, Martin Lilleeng (2020). Evaluation of selected finite-difference and finite-volume approaches to rotational shallow-water flow. Communications in Computational Physics. Vol. 27.
https://doi.org/10.4208/cicp.OA-2019-0033

Holm, Håvard Heitlo; Brodtkorb, André R. ; Sætra, Martin Lilleeng (2020). GPU Computing with Python: Performance, Energy Efficiency and Usability. 24 p. Computation. Vol. 8.
https://doi.org/10.3390/computation8010004

Holm, Håvard Heitlo; Sætra, Martin Lilleeng ; van Leeuwen, Peter Jan (2020). Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting. Journal of Computational Physics: X. Vol. 6.
https://doi.org/10.1016/j.jcpx.2020.100053

Holm, Håvard Heitlo; Brodtkorb, André R. ; Sætra, Martin Lilleeng (2020). Performance and Energy Efficiency of CUDA and OpenCL for GPU Computing using Python. 11 p. Advances in Parallel Computing. Vol. 36.
https://doi.org/10.3233/APC200089

Holm, Håvard Heitlo; Sætra, Martin Lilleeng ; Brodtkorb, André R. (2020). Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs. Klöfkorn, Robert; Keilegavlen, Eirik; Radu, Florin Adrian; Fuhrmann, Jurgen (Ed.). Finite Volumes for Complex Applications IX - Methods, Theoretical Aspects, Examples. p. 715-724. Springer.
https://doi.org/10.1007/978-3-030-43651-3_68

Sætra, Martin Lilleeng ; Brodtkorb, André R. ; Lie, Knut Andreas (2015). Efficient GPU-Implementation of Adaptive Mesh Refinement for the Shallow-Water Equations. Journal of Scientific Computing. Vol. 63.
https://doi.org/10.1007/s10915-014-9883-4

Sætra, Martin Lilleeng (2013). Shallow Water Simulation on GPUs for Sparse Domains. Cangiani, Andrea; Davidchack, Ruslan L.; Georgoulis, Emmanuil M.; Gorban, Alexander; Levesley, Jeremy; Tretyakov, Michael (Ed.). Numerical Mathematics and Advanced Applications 2011. p. 673-680. Springer.





These publications are obtained from Cristin. The list may be incomplete