GPU Computing with Python: Performance, Energy Efficiency and Usability HH Holm, AR Brodtkorb, ML Sætra Computation 8 (1), 4, 2020 | 29 | 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 | 13 | 2020 |
CloudFlow-an infrastructure for engineering workflows in the cloud HH Holm, JM Hjelmervik, V Gezer Tenth International Conference on Mobile Ubiquitous Computing, Systems …, 2016 | 9 | 2016 |
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 | 8 | 2020 |
Comparison of Ensemble-Based Data Assimilation Methods for Sparse Oceanographic Data F Beiser, HH Holm, J Eidsvik Quarterly Journal of the Royal Meteorological Society 150 (759), 1068-1095, 2024 | 6 | 2024 |
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 | 6 | 2020 |
Coastal ocean forecasting on the GPU using a two-dimensional finite-volume scheme AR Brodtkorb, HH Holm Tellus A: Dynamic Meteorology and Oceanography 73 (1), 1-22, 2021 | 5 | 2021 |
Performance and energy efficiency of CUDA and OpenCL for GPU computing using python HH Holm, AR Brodtkorb, ML Sætra Parallel Computing: Technology Trends, 593-604, 2020 | 5 | 2020 |
Numerical comparison between ES-MDA and gradient-based optimization for history matching of reduced reservoir models MAB Reverón, HH Holm, O Møyner, S Krogstad, KA Lie SPE Reservoir Simulation Conference?, D011S002R005, 2021 | 2 | 2021 |
Efficient Forecasting of Drift Trajectories using Simplified Ocean Models and Nonlinear Data Assimilation on GPUs HH Holm NTNU, 2020 | 1 | 2020 |
Real-World Oceanographic Simulations on the GPU using a Two-Dimensional Finite-Volume Scheme AR Brodtkorb, HH Holm arXiv preprint arXiv:1912.02457, 2019 | 1 | 2019 |
The CloudFlow Infrastructure for Multi-Vendor Engineering Workflows: Concept and Validation HH Holm, V Gezer, S Hermawati, C Altenhofen, JM Hjelmervik International Journal on Advances in Internet Technology 10 (1), 2017 | 1 | 2017 |
A CUDA Back-End for the Equelle Compiler. HH Holm Institutt for matematiske fag, 2014 | 1 | 2014 |
Combining barotropic and baroclinic simplified models for drift trajectory predictions F Beiser, HH Holm, ML Sætra, NM Kristensen, KH Christensen Journal of Operational Oceanography, 1-20, 2024 | | 2024 |
Reducing Numerical Artifacts by Sacrificing Well-Balance for Rotating Shallow-Water Flow HH Holm, F Beiser International Conference on Finite Volumes for Complex Applications, 181-189, 2023 | | 2023 |