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.
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
Research groups
Publications and research
Scientific publications
Brodtkorb, André R.
; Benedictow, Anna Maria Katarina; Klein, Heiko; Kylling, Arve; Nyiri, Agnes; Valdebenito Bustamante, Alvaro Moises; 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).
17 p.
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.
22 p.
Tellus A: Dynamic Meteorology and Oceanography.
Vol. 73.
https://doi.org/10.1080/16000870.2021.1876341
Holm, Håvard Heitlo;
Brodtkorb, André R.
;
Sætra, Martin Lilleeng
(2020).
GPU Computing with Python: Performance, Energy Efficiency and Usability.
24 p.
Computation.
Vol. 8.
https://doi.org/10.3390/computation8010004
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).
Performance and Energy Efficiency of CUDA and OpenCL for GPU Computing using Python.
11 p.
Advances in Parallel Computing.
Vol. 36.
https://doi.org/10.3233/APC200089
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
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
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.
12 p.
NIKT: Norsk IKT-konferanse for forskning og utdanning.
http://hdl.handle.net/11250/2565319
