About
André Brodtkorb is the Head of Department of Computer Science and Professor of Scientific Computing. He has a Ph.D. from the University of Oslo (2010), and has been a researcher at SINTEF (Norways largest non-profit research organization), and the Norwegian Meteorological Institute. He is a member of the Young Academy of Norway (2024-2028), where he works for education and in particular the role of the natural sciences in society.
His area of research is in the intersection between mathematics, numerics and computer science, and he is a strong proponent of open science and reproducible research.
Research interests:
- Applied mathematics and numerics.
- Parallel computing and supercomputing.
- Simulation of physics, including ocean currents, flood, floodwaves, storm surge, volcanic ash, etc.
Experience:
- 2023-d.d. Head of department of Computer Science at OsloMet.
- 2021-2023. Head of mathematical modeling at OsloMet
- 2019-2021. Scientist at the Norwegian Meteorological Institute, Department of climate modeling and air pollution.
- 2010-2019. Researcher at SINTEF, Department of applied mathematics
Field of study
Scientific high performance computing
Research groups
Publications and research
Scientific publications
Brodtkorb, André R.
; Benedictow, Anna Maria Katarina; Klein, Heiko; Kylling, Arve; Nyiri, Agnes; Bustamante, Alvaro Moises Valdebenito; Sollum, Espen; Kristiansen, Nina Iren
(2024).
Estimating volcanic ash emissions using retrieved satellite ash columns and inverse ash transport modelling using VolcanicAshInversion v1.2.1, within the operational eEMEP volcanic plume forecasting system (version rv4_17).
Geoscientific Model Development.
Vol. 17.
https://doi.org/10.5194/gmd-17-1957-2024
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
Brodtkorb, André R.
; Holm, HÅvard Heitlo
(2021).
Coastal ocean forecasting on the GPU using a two-dimensional finite-volume scheme.
Tellus A: Dynamic Meteorology and Oceanography.
Vol. 73.
https://doi.org/10.1080/16000870.2021.1876341
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.
Computation.
Vol. 8.
https://doi.org/10.3390/computation8010004
Nilsen, Halvor Møll; Arthur, Moncorgé; Bao, Kai; Møyner, Olav; Lie, Knut-Andreas;
Brodtkorb, Andre
(2020).
Comparison between algebraic multigrid and multilevel multiscale methods for reservoir simulation.
EAGE, 2020 (Ed.).
ECMOR XVII - 17th European Conference on the
Mathematics of Oil Recovery, 14-17 September 2020.
European Association of Geoscientists and Engineers (EAGE).
https://doi.org/10.3997/2214-4609.202035063
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
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://doi.org/10.3233/APC200089
Brodtkorb, André R.
(2019).
Agile supervision of bachelor, master, and PhD theses.
Nordic Journal of STEM Education.
Vol. 3.
https://doi.org/10.5324/njsteme.v3i1.2992
Brodtkorb, André R.
(2018).
Simplified Ocean Models on GPUs.
NIKT: Norsk IKT-konferanse for forskning og utdanning.
https://hdl.handle.net/11250/2565319
