Blar i SINTEF Open på forfatter "Holm, Håvard Heitlo"
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Coastal ocean forecasting on the GPU using a two-dimensional finite-volume scheme
Brodtkorb, André R.; Holm, Håvard Heitlo (Peer reviewed; Journal article, 2021)In this work, we take a modern high-resolution finite-volume scheme for solving the rotational shallow-water equations and extend it with features required to run real-world ocean simulations. Our contributions include a ... -
Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs
Holm, Håvard Heitlo; Sætra, Martin Lilleeng; Brodtkorb, André R. (Chapter, 2020)In this work, we perform fully nonlinear data assimilation of ocean drift trajectories using multiple GPUs. We use an ensemble of up to 10000 members and the sequential importance resampling algorithm to assimilate ... -
Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs
Holm, Håvard Heitlo; Sætra, Martin Lilleeng; Brodtkorb, André R. (Chapter, 2020)In this work, we perform fully nonlinear data assimilation of ocean drift trajectories using multiple GPUs. We use an ensemble of up to 10000 members and the sequential importance resampling algorithm to assimilate ... -
GPU Computing with Python: Performance, Energy Efficiency and Usability
Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng (Journal article; Peer reviewed, 2020)In this work, we examine the performance, energy efficiency, and usability when using Python for developing high-performance computing codes running on the graphics processing unit (GPU). We investigate the portability of ... -
Performance and Energy Efficiency of CUDA and OpenCL for GPU Computing using Python
Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng (Peer reviewed; Journal article, 2020)In this work, we examine the performance and energy efficiency when using Python for developing HPC codes running on the GPU. We investigate the portability of performance and energy efficiency between CUDA and OpenCL; ... -
Performance and Energy Efficiency of CUDA and OpenCL for GPU Computing using Python
Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng (Peer reviewed; Journal article, 2020)In this work, we examine the performance, energy efficiency, and usability when using Python for developing high-performance computing codes running on the graphics processing unit (GPU). We investigate the portability ... -
Reducing Numerical Artifacts by Sacrificing Well-Balance for Rotating Shallow-Water Flow
Holm, Håvard Heitlo; Beiser, Florian (Chapter, 2023)We consider the problem of rotational shallow-water flow for which non-trivial rotating steady-state solutions are of great importance. In particular, we investigate a high-resolution central-upwind scheme that is well-balanced ...