Martin Lilleeng Sætra

Vitenskapelige publikasjoner

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; 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 (Red.). Finite Volumes for Complex Applications IX - Methods, Theoretical Aspects, Examples. s. 715-724. Springer.
https://doi.org/10.1007/978-3-030-43651-3_68

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 s. 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 s. Advances in Parallel Computing. Vol. 36.
https://doi.org/10.3233/APC200089

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 (Red.). Numerical Mathematics and Advanced Applications 2011. s. 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

Sætra, Martin Lilleeng; Brodtkorb, André Rigland (2012). Shallow Water Simulations on Multiple GPUs. Lecture Notes in Computer Science (LNCS). Vol. 7134.
https://doi.org/10.1007/978-3-642-28145-7_6

Forskningsrapporter

Holm, Håvard Heitlo; Lie, Knut-Andreas; Brodtkorb, André R.; Sætra, Martin Lilleeng (2020). Efficient Forecasting of Drift Trajectories using Simplified Ocean Models and Nonlinear Data Assimilation on GPUs. ISBN: 978-82-326-4657-9. 234 s. Norges teknisk-naturvitenskapelige universitet.

Formidling

Beiser, Florian; Holm, Håvard Heitlo; Lye, Kjetil Olsen; Eidsvik, Jo; Sætra, Martin Lilleeng (2023). Multi-level Data Assimilation: Statistical Background and Application to the Shallow-Water Model. Geilo Winter School 2023. SINTEF.

Finstad Svehagen, Mai-Linn.; Sætra, Martin Lilleeng; Brodtkorb, André R.; Christensen, Kai Håkon; Holm, Håvard Heitlo (2022). Spillteknologi gir nye og bedre modeller av havet.
https://forskning.no/data-kart-meteorologi/spillte...

Fenstad, Arne; Sætra, Martin Lilleeng (2022). Forskergruppe har kommet fram til løsning som kan gi mye raskere varsel til havs.
https://www.tu.no/artikler/forskergruppe-har-komme...

Tedesco, Paulina Souza; Rabault, Jean; Sætra, Martin Lilleeng; Kristensen, Nils Melsom; Aarnes, Ole Johan; Breivik, Øyvind; Mauritzen, Cecilie; Sætra, Øyvind (2022). Bias Correction of Operational Storm Surge Forecasts Using Neural Networks. EGU General Assembly 2022. EGU.

Sætra, Martin Lilleeng (2021). Havvarsel(.no). Maritim workshop. Meteorologisk institutt.

Holm, Håvard Heitlo; Sætra, Martin Lilleeng; Brodtkorb, André R. (2020). Data Assimilation for Ocean Drift Trajectories using Massive Ensembles and GPUs. Finite Volumes for Complex Applications IX - Methods, Theoretical Aspects, Examples. NORCE.

Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng (2020). Drift Trajectory Predictions using Massive Ensembles of Simplified Ocean Models. Geilo Winter School. SINTEF AS.

Hysing, Ahlert; Skålin, Roar; Vignes, Ole Nikolai; Sætra, Martin Lilleeng; Orten, Arnstein (2019). Samler krefter for bedre værmelding.

Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng (2019). Performance, usability, and energy efficiency of CUDA and OpenCL for GPU computing with Python. The International Conference on Parallel Computing ParCo2019. ParCo Conferences.

Sætra, Martin Lilleeng (2018). GPU Ocean: Efficient shallow-water simulations on the GPU. DARC Seminar Series. Data Assimilation Research Centre, University of Reading.