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 | 405 | 2013 |

Efficient shallow water simulations on GPUs: Implementation, visualization, verification, and validation AR Brodtkorb, ML Sætra, M Altinakar Computers & Fluids, 2011 | 201 | 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 | 44 | 2015 |

GPU computing with Python: Performance, energy efficiency and usability HH Holm, AR Brodtkorb, ML Sætra Computation 8 (1), 4, 2020 | 26 | 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 | 12 | 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 | 7 | 2020 |

Explicit shallow water simulations on GPUs: Guidelines and best practices AR Brodtkorb, ML Sætra | 7 | 2012 |

Performance and energy efficiency of CUDA and OpenCL for GPU computing using python HH Holm, AR Brodtkorb, ML Sætra IOS Press, 2020 | 5 | 2020 |

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 | 5 | 2020 |

Shallow Water Simulations on Graphics Hardware ML Sætra | 4 | 2014 |

Solving systems of hyperbolic PDEs using multiple GPUs ML Saetra | 3 | 2007 |

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 |

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 | 1 | 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 | | |

The full paper can be found in Journal of Parallel and Distributed Computing 73 (1): 4–13 AR BRODTKORB, TR HAGEN, ML SÆTRA | | |