| Graphics processing unit (GPU) programming strategies and trends in GPU computing AR Brodtkorb, TR Hagen, ML Sætra Journal of Parallel and Distributed Computing 73 (1), 4-13, 2013 | 414 | 2013 |
| Efficient shallow water simulations on GPUs: Implementation, visualization, verification, and validation AR Brodtkorb, ML Sætra, M Altinakar Computers & Fluids, 2011 | 208 | 2011 |
| Shallow water simulations on multiple GPUs M Sætra, A Brodtkorb Applied Parallel and Scientific Computing, 56-66, 2012 | 48 | 2012 |
| Efficient GPU-implementation of adaptive mesh refinement for the shallow-water equations ML Sætra, AR Brodtkorb, KA Lie Journal of Scientific Computing 63, 23-48, 2015 | 45 | 2015 |
| GPU computing with Python: Performance, energy efficiency and usability HH Holm, AR Brodtkorb, ML Sætra Computation 8 (1), 4, 2020 | 29 | 2020 |
| Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting HH Holm, ML Sætra, PJ Van Leeuwen Journal of Computational Physics: X 6, 100053, 2020 | 13 | 2020 |
| Shallow water simulation on GPUs for sparse domains ML Sætra Numerical Mathematics and Advanced Applications 2011: Proceedings of ENUMATH …, 2012 | 9 | 2012 |
| Evaluation of selected finite-difference and finite-volume approaches to rotational shallow-water flow HH Holm, AR Brodtkorb, G Brostrøm, KH Christensen, ML Sætra Global Science Press, 2020 | 8 | 2020 |
| Explicit shallow water simulations on GPUs: Guidelines and best practices AR Brodtkorb, ML Sætra | 8 | 2012 |
| Data assimilation for ocean drift trajectories using massive ensembles and GPUs HH Holm, ML Sætra, AR Brodtkorb Finite Volumes for Complex Applications IX-Methods, Theoretical Aspects …, 2020 | 6 | 2020 |
| Performance and energy efficiency of CUDA and OpenCL for GPU computing using python HH Holm, AR Brodtkorb, ML Sætra Parallel Computing: Technology Trends, 593-604, 2020 | 5 | 2020 |
| Shallow Water Simulations on Graphics Hardware ML Sætra | 4 | 2014 |
| Solving systems of hyperbolic PDEs using multiple GPUs ML Saetra | 3 | 2007 |
| Bias correction of operational storm surge forecasts using Neural Networks P Tedesco, J Rabault, ML Sætra, NM Kristensen, OJ Aarnes, Ø Breivik, ... Ocean Modelling 188, 102334, 2024 | 2 | 2024 |
| Erratum to “Efficient shallow water simulations on GPUs: Implementation, visualization, verification and validation”[Comp Fluids 55 (2012) 1–12] AR Brodtkorb, ML Sætra, M Altinakar Computers and Fluids 59, 125, 2012 | 2 | 2012 |
| Combining barotropic and baroclinic simplified models for drift trajectory predictions F Beiser, HH Holm, ML Sætra, NM Kristensen, KH Christensen Journal of Operational Oceanography, 1-20, 2024 | | 2024 |
| Simulating the Euler equations on multiple GPUs using Python AR Brodtkorb, ML Sætra Frontiers in Physics 10, 985440, 2022 | | 2022 |
| Simulating the Euler equations on a cluster of GPUs using Python AR Brodtkorb, ML Sætra | | 2022 |
| Evaluation of Selected Finite-Difference and Finite-Volume Approaches to Rotational Shallow-Water Flow KH Christensen, ML Sætra | | 2020 |
| The full paper can be found in the Proceedings of ENUMATH 2011, the 9th European Conference on Numerical Mathematics and Advanced Applications. ML SÆTRA | | |
André BrodtkorbHead of Department of Computer Science / Professor at Oslo Metropolitan UniversityVerified email at oslomet.no
