Fields of study
Academic disciplines
Applied mathematics Mathematic modelling and numerical methods Simulation, visualisation, signal processing, image analysis
Publications and research
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.