Fields of study
Academic disciplines
Applied mathematics Mathematic modelling and numerical methods Simulation, visualisation, signal processing, image analysis
Publications and research
Scientific publications
Brodtkorb, Andre; Sætra, Martin Lilleeng (2022). Simulating the Euler equations on multiple GPUs using Python. Frontiers in Physics . Vol. 10.
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. Practical Examples. p. 715-724. Springer.
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://hdl.handle.net/11250/2725569
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.
https://hdl.handle.net/11250/2727951
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.
http://hdl.handle.net/11250/2646926
Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng
(2020).
GPU Computing with Python: Performance, Energy Efficiency and Usability.
24 p.
Computation
.
Vol. 8.
http://hdl.handle.net/11250/2646727
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.
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.
http://babrodtk.at.ifi.uio.no/files/publications/b...
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. Shallow Water Simulation on GPUs for Sparse Domains. p. 673-680. Springer.
Brodtkorb, André Rigland; Sætra, Martin Lilleeng; Altinakar, Mustafa (2012). Efficient shallow water simulations on GPUs: Implementation, visualization, verification, and validation. Computers & Fluids . Vol. 55.