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Martin Lilleeng Sætra
Martin Lilleeng Sætra
Verified email at met.no
Title
Cited by
Cited by
Year
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
4032013
Efficient shallow water simulations on GPUs: Implementation, visualization, verification, and validation
AR Brodtkorb, ML Sætra, M Altinakar
Computers & Fluids, 2011
1992011
Shallow water simulations on multiple GPUs
M Sætra, A Brodtkorb
Applied Parallel and Scientific Computing, 56-66, 2012
482012
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
442015
GPU computing with Python: Performance, energy efficiency and usability
HH Holm, AR Brodtkorb, ML Sætra
Computation 8 (1), 4, 2020
252020
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
122020
Shallow water simulation on GPUs for sparse domains
ML Sætra
Numerical Mathematics and Advanced Applications 2011: Proceedings of ENUMATH …, 2012
92012
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
72020
Explicit shallow water simulations on GPUs: Guidelines and best practices
AR Brodtkorb, ML Sætra
72012
Performance and energy efficiency of CUDA and OpenCL for GPU computing using python
HH Holm, AR Brodtkorb, ML Sætra
IOS Press, 2020
52020
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
52020
Shallow Water Simulations on Graphics Hardware
ML Sætra
42014
Solving systems of hyperbolic PDEs using multiple GPUs
ML Saetra
32007
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
22012
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
12024
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
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