Fagområder
Vitenskapsdisipliner
Anvendt matematikk Matematisk modellering og numeriske metoder Simulering, visualisering, signalbehandling, bildeanalyse
Publikasjoner og forskningsresultater
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