About
I am the head of the Mathematical Modeling academic group at the department of computer science, https://uni.oslomet.no/matmod
My research interests include:
- scientific computing
- high-performance computing
- applied mathematics
- numerical simulation
- accelerated and unconventional computing (GPUs, quantum computing, FPGA, etc.)
- real-time scientific visualization
My personal website is available on https://brodtkorb.org/
Research groups
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.
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://hdl.handle.net/11250/3017803
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. 2. European Association of Geoscientists and Engineers (EAGE).
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; 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
Brodtkorb, André R. (2019). Agile supervision of bachelor, master, and PhD theses. Nordic Journal of STEM Education . Vol. 3. 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://ojs.bibsys.no/index.php/NIK/article/view/50...
Gierlinger, Thomas; Brodtkorb, André R.; Stumpf, André; Weiler, Marcel; Michel, Frank (2015). Visualization of marine sand dune displacements utilizing modern GPU techniques. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences . Vol. XL-3/W3.
