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

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. ; 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; 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. ; 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; 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.

Brodtkorb, André Rigland ; Hagen, Trond Runar; Sætra, Martin Lilleeng (2013). Graphics processing unit (GPU) programming strategies and trends in GPU computing. Journal of Parallel and Distributed Computing. Vol. 73.
https://doi.org/10.1016/j.jpdc.2012.04.003





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