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Håvard Heitlo Holm
Håvard Heitlo Holm
Scientific researcher, SINTEF Digital
Verified email at sintef.no
Title
Cited by
Cited by
Year
GPU Computing with Python: Performance, Energy Efficiency and Usability
HH Holm, AR Brodtkorb, ML Sætra
Computation 8 (1), 4, 2020
292020
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
132020
CloudFlow-an infrastructure for engineering workflows in the cloud
HH Holm, JM Hjelmervik, V Gezer
Tenth International Conference on Mobile Ubiquitous Computing, Systems …, 2016
92016
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
82020
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
62024
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
62020
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
52021
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
52020
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
22021
Efficient Forecasting of Drift Trajectories using Simplified Ocean Models and Nonlinear Data Assimilation on GPUs
HH Holm
NTNU, 2020
12020
Real-World Oceanographic Simulations on the GPU using a Two-Dimensional Finite-Volume Scheme
AR Brodtkorb, HH Holm
arXiv preprint arXiv:1912.02457, 2019
12019
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
12017
A CUDA Back-End for the Equelle Compiler.
HH Holm
Institutt for matematiske fag, 2014
12014
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
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Articles 1–15