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2020
1 Holm, Håvard Heitlo; Brodtkorb, André R.; Brostrøm, Gøran; Christensen, Kai Håkon; Sætra, Martin Lilleeng.
Evaluation of selected finite-difference and finite-volume approaches to rotational shallow-water flow. Communications in Computational Physics 2020
OSLOMET MET NTNU SINTEF UiO Untitled
 
2 Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng.
Drift Trajectory Predictions using Massive Ensembles of Simplified Ocean Models. Geilo Winter School; 2020-01-19 - 2020-01-24
OSLOMET MET NTNU SINTEF Untitled
 
3 Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng.
GPU Computing with Python: Performance, Energy Efficiency and Usability. Computation 2020 ;Volum 8.(1)
OSLOMET MET NTNU SINTEF Untitled
 
4 Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng.
Performance and Energy Efficiency of CUDA and OpenCL for GPU Computing using Python. Advances in Parallel Computing 2020
OSLOMET MET NTNU SINTEF Untitled
 
5 Holm, Håvard Heitlo.
Efficient Forecasting of Drift Trajectories using Simplified Ocean Models and Nonlinear Data Assimilation on GPUs. Norges teknisk-naturvitenskapelige universitet 2020 (ISBN 978-82-326-4657-9) 234 s. Doktoravhandlinger ved NTNU(154)
OSLOMET NTNU Untitled
 
6 Holm, Håvard Heitlo; Sætra, Martin Lilleeng; Brodtkorb, André R..
Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs. I: Finite Volumes for Complex Applications IX - Methods, Theoretical Aspects, Examples. Springer 2020 ISBN 978-3-030-43650-6. s. 715-724
OSLOMET SINTEF Untitled
 
7 Holm, Håvard Heitlo; Sætra, Martin Lilleeng; Brodtkorb, André R..
Data Assimilation for Ocean Drift Trajectories using Massive Ensembles and GPUs. Finite Volumes for Complex Applications IX - Methods, Theoretical Aspects, Examples; 2020-06-15 - 2020-06-19
OSLOMET SINTEF Untitled
 
8 Holm, Håvard Heitlo; Sætra, Martin Lilleeng; van Leeuwen, Peter Jan.
Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting. Journal of Computational Physics: X 2020 ;Volum 6.
OSLOMET MET NTNU SINTEF Untitled
 
2019
9 Holm, Håvard Heitlo.
GPU Ocean: Efficient simplified ocean models and non-linear data assimilation. Geilo Winter School; 2019-01-20 - 2019-01-25
SINTEF Untitled
 
10 Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng.
Performance, usability, and energy efficiency of CUDA and OpenCL for GPU computing with Python. The International Conference on Parallel Computing ParCo2019; 2019-09-09 - 2019-09-13
OSLOMET MET NTNU SINTEF Untitled
 
2018
11 Holm, Håvard Heitlo.
GPU Ocean: Efficient simplified ocean models and non-linear data assimilation. GeoHackWeek 2018; 2018-10-09 - 2018-10-09
SINTEF Untitled
 
12 Holm, Håvard Heitlo.
GPU Ocean: Efficient simplified ocean models and non-linear data assimilation. Symposium on Oceanographic Data Analytics; 2018-11-28
SINTEF Untitled
 
13 Holm, Håvard Heitlo.
GPU Ocean: Simplified Ocean Models and Particle Filters. DARC Seminar Series; 2018-04-04 - 2018-04-04
SINTEF Untitled
 
2017
14 Holm, Håvard Heitlo; Gezer, Volkan; Hermawati, Setia; Altenhofen, Christian; Hjelmervik, Jon M..
The CloudFlow Infrastructure for Multi-Vendor Engineering Workflows: Concept and Validation. International Journal On Advances in Internet Technology 2017 ;Volum 10.(1 and 2) s. 23-35
SINTEF Untitled
 
2016
15 Holm, Håvard Heitlo; Hjelmervik, Jon M.; Gezer, Volkan.
CloudFlow - An Infrastructure for Engineering Workflows in the Cloud. I: UBICOMM 2016 The Tenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, October 9 - 13, 2016 Venice, Italy. International Academy, Research and Industry Association (IARIA) 2016 ISBN 978-1-61208-505-0. s. 158-165
SINTEF Untitled