23 citations · 23 across the 2 of their papers we have counts for
3 papers
Comparison of Ensemble-Based Data Assimilation Methods for Sparse Oceanographic Data
Florian Beiser, Håvard Heitlo Holm, Jo Eidsvik
For oceanographic applications, probabilistic forecasts typically have to deal with i) high-dimensional complex models, and ii) very sparse spatial observations. In search-and-resc…
GPU Computing with Python: Performance, Energy Efficiency and Usability
Håvard H. Holm, André R. Brodtkorb, Martin L. Sætra
In this work, we examine the performance, energy efficiency and usability when using Python for developing HPC codes running on the GPU. We investigate the portability of performan…
Massively Parallel Implicit Equal-Weights Particle Filter for Ocean Drift Trajectory Forecasting
Håvard Heitlo Holm, Martin Lilleeng Sætra, Peter Jan van Leeuwen
Forecasting ocean drift trajectories are important for many applications, including search and rescue operations, oil spill cleanup and iceberg risk mitigation. In an operational s…