Tilhørighet
Publikasjoner og forskningsresultater
Vitenskapelige publikasjoner (15)
- Rabault, Jean; Sætra, Martin Lilleeng; Dobler, Andreas; Eastwood, Steinar; Berge, Erik (2025). Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps. Solar Energy. Vol. 290. s. 1-15
- 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. s. 1-21
- 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. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology. Vol. 17. s. 187-206
- Brodtkorb, Andre; Sætra, Martin Lilleeng (2022). Simulating the Euler equations on multiple GPUs using Python. Frontiers in Physics. Vol. 10
- 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. s. 1234-1274
- Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng (2020). GPU Computing with Python: Performance, Energy Efficiency and Usability. Computation. Vol. 8
- 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. Springer
- Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng (2020). Performance and Energy Efficiency of CUDA and OpenCL for GPU Computing using Python. Advances in Parallel Computing. Vol. 36. s. 593-604
- Holm, Håvard Heitlo; Sætra, Martin Lilleeng; Leeuwen, Peter Jan van (2020). Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting. Journal of Computational Physics: X. Vol. 6
- 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. s. 23-48
- 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. Springer
- Brodtkorb, André Rigland; Hagen, Trond Runar; Sætra, Martin Lilleeng (2012). Graphics processing unit (GPU) programming strategies and trends in GPU computing. Journal of Parallel and Distributed Computing. Vol. 73. s. 4-13
- Brodtkorb, André; Sætra, Martin Lilleeng (2012). Explicit Shallow Water Simulations on GPUs: Guidelines and Best Practices. Valocchi, Albert J. (Red.). XIX International Conference on Computational Methods in Water Resources. University of Illinois at Urbana-Champaign
- Sætra, Martin Lilleeng; Brodtkorb, André Rigland (2012). Shallow Water Simulations on Multiple GPUs. Lecture Notes in Computer Science (LNCS). Vol. 7134. s. 56-66
- Brodtkorb, André Rigland; Sætra, Martin Lilleeng; Altinakar, Mustafa (2012). Efficient shallow water simulations on GPUs: Implementation, visualization, verification, and validation. Computers & Fluids. Vol. 55. s. 1-12
Fagbøker/lærebøker (1)
- Selstø, Sølve; Sætra, Martin Lilleeng; Brodtkorb, André (2024). Praktisk introduksjon til numeriske metodar: Øvingsoppgåver for Python. 312 s.. Fagbokforlaget
Forskningsrapporter (3)
- Dyrrdal, Anita Verpe; Bakke, Sigrid Jørgensen; Hanssen-Bauer, Inger; Mayer, Stephanie; Nilsen, Irene Brox; Nilsen, Jan Even Øie; Paasche, Øyvind; Saloranta, Tuomo; Årthun, Marius; Andreassen, Liss Marie; Asbjørnsen, Helene; Bakke, Jostein; Beldring, Stein; Benestad, Rasmus; Berge, Erik; Berthling, Ivar; Bonaduce, Antonio; Borck, Hilde Sande; Breili, Kristian; Breivik, Øyvind; Counillon, Francois Stephane; Devoli, Graziella; Dobler, Andreas; Eastwood, Steinar; Engeland, Kolbjørn; Frauenfelder, Regula; Rabault, Jean; Gangstø, Reidun; Grinde, Lars; Haddeland, Ingjerd; Haugen, Jan Erik; Gjelten, Herdis Motrøen; Hordoir, Robinson; Huang, Shaochun; Hygen, Hans Olav; Isaksen, Ketil; KVAMBEKK, ÅNUND; Kvile, Kristina Øie; Køltzow, Morten Andreas Ødegaard; Langehaug, Helene R.; Lawrence, Deborah; Lussana, Cristian; Lutz, Julia; Løvset, Tyge; Mamen, Jostein; Innes, Harold Mc; Melvold, Kjetil; Mezghani, Abdelkader; Mooney, Priscilla A.; Müller, Karsten; Svello, Sunniva Nordeide; Nordli, Øyvind; Nygaard, Bjørn Egil Kringlebotn; Parding, Kajsa; Ravndal, Oda R.; Richter, Kristin; Ruan, Gusong; Saesin, Pipatthra; Sandø, Anne Britt; Sidselrud, Laila Fodnes; Simpson, Matthew J.R.; Skaugen, Thomas; Skogen, Morten D.; Svendsen, Lea; Sætra, Martin Lilleeng; Sørland, Silje Lund; Tajet, Helga Therese Tilley; Tunheim, Ketil; Tveito, Ole Einar Ellingbø; Wong, Wai Kwok; Ødemark, Karianne (2025). Klima i Norge – kunnskapsgrunnlag for klimatilpasning oppdatert i 2025. 262 s.. Meteorologisk institutt
- Beiser, Florian; Eidsvik, Jo; Holm, Håvard Heitlo; Sætra, Martin Lilleeng (2024). Local Drift Forecasting with Simplified Ocean Models and Multi-Level Data Assimilation. Norges teknisk-naturvitenskapelige universitet
- 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. Norges teknisk-naturvitenskapelige universitet
Formidling (19)
- Sandberg, Tor; Sætra, Martin Lilleeng (2023). Jeg anbefaler å prøve vannet
- 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
- Svehagen, Mai-Linn. Finstad; Sætra, Martin Lilleeng; Brodtkorb, André R.; Christensen, Kai Håkon; Holm, Håvard Heitlo (2022). Spillteknologi gir nye og bedre modeller av havet
- Fenstad, Arne; Sætra, Martin Lilleeng (2022). Forskergruppe har kommet fram til løsning som kan gi mye raskere varsel til havs
- 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
- Berge, Erik; Dobler, Andreas; Eastwood, Steinar; Sætra, Martin Lilleeng; Hygen, Hans Olav; Rabault, Jean (2022). Quality assurance of surface GHI data in Norway. SunPoint IEA PVPS Task 16 expert meetings
- Sætra, Martin Lilleeng (2021). Havvarsel(.no). Maritim workshop
- 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
- Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng (2020). Drift Trajectory Predictions using Massive Ensembles of Simplified Ocean Models. Geilo Winter School
- 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
- Sætra, Martin Lilleeng (2018). GPU Ocean: Efficient shallow-water simulations on the GPU. DARC Seminar Series
- Brodtkorb, André R.; Christensen, Kai Håkon; Røed, Lars Petter; Sætra, Martin Lilleeng (2016). Using the GPU to Predict Drift in the Ocean. GPU Technology Conference
- Brodtkorb, André Rigland; Sætra, Martin Lilleeng (2012). GPUs for Shallow Water Simulations. Geilo Winter Schools in eScience
- Sætra, Martin Lilleeng (2012). Shallow Water Simulations on Sparse Grids. XIX International Conference on Computational Methods in Water Resources
- Sætra, Martin Lilleeng (2011). Shallow Water Simulations on Implicitly Defined Global Grids. European Conference on Numerical Mathematics and Advanced Applications
- Sætra, Martin Lilleeng; Brodtkorb, André Rigland (2010). Shallow Water Simulations on Multiple GPUs. VERDIKT Program Conference
- Sætra, Martin Lilleeng (2010). CUDA by Example. Comptuter Science Seminar Series (CSSS)
- Dyken, Erik Christopher; Sætra, Martin Lilleeng (2009). Mixing Transparent Polygonal and Voxel Data Using Depth Peeling. VERDIKT Program Conference
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