Browsing NTNU Open by Author "Holm, Håvard Heitlo"
Now showing items 1-7 of 7
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A CUDA Back-End for the Equelle Compiler.
Holm, Håvard Heitlo (Master thesis, 2014)As parallel and heterogeneous computing becomes more and more a necessity for implementing high performance simulators, it becomes increasingly harder for scientists and engineers without experience in high performance ... -
Comparison of ensemble-based data assimilation methods for sparse oceanographic data
Beiser, Florian; Holm, Håvard Heitlo; Eidsvik, Jo (Peer reviewed; Journal article, 2023-12-10)Probabilistic forecasts in oceanographic applications, such as drift trajectory forecasts for search-and-rescue operations, face challenges due to high-dimensional complex models and sparse spatial observations. We discuss ... -
Efficient Forecasting of Drift Trajectories using Simplified Ocean Models and Nonlinear Data Assimilation on GPUs
Holm, Håvard Heitlo (Doctoral theses at NTNU;2020:154, Doctoral thesis, 2020)This thesis presents research on efficient, massively parallel methods and algorithms related to short-term forecasting of drift trajectories in the ocean. The topic has clear societal applications and is an important ... -
Evaluation of selected finite-difference and finite-volume approaches to rotational shallow-water flow
Holm, Håvard Heitlo; Brodtkorb, André R.; Brostrøm, Gøran; Christensen, Kai Håkon; Sætra, Martin Lilleeng (Journal article; Peer reviewed, 2020)The shallow-water equations in a rotating frame of reference are important for capturing geophysical flows in the ocean. In this paper, we examine and compare two traditional finite-difference schemes and two modern finite-volume ... -
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 ... -
Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting
Holm, Håvard Heitlo; Sætra, Martin Lilleeng; van Leeuwen, Peter Jan (Peer reviewed; Journal article, 2020)Forecasting of ocean drift trajectories are important for many applications, including search and rescue operations, oil spill cleanup and iceberg risk mitigation. In an operational setting, forecasts of drift trajectories ... -
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; ...