Publications
All results from the project are listed below. In addition, there were two workshops (one with international participants), project meetings and presentations at the project partners' home institutions.
Thesis
H.H. Holm, "Efficient Forecasting of Drift Trajectories using Simplified Ocean Models and Nonlinear Data Assimilation on GPUs", Doctoral thesis, Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim, Norway, 2020. https://hdl.handle.net/11250/2652592
Journal articles
A.R. Brodtkorb and H.H. Holm, "Coastal ocean forecasting on the GPU using a two-dimensional finite-volume scheme", Tellus A: Dynamic Meteorology and Oceanography, vol. 73, no. 1, 2021, pp. 1–22. https://doi.org/10.1080/16000870.2021.1876341
H.H. Holm, M.L. Sætra, and P.J. van Leeuwen, "Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting", Journal of Computational Physics: X, vol. 6, 2020. https://doi.org/10.1016/j.jcpx.2020.100053
H.H. Holm, A.R. Brodtkorb, and M.L. Sætra, "GPU Computing with Python: Performance, Energy Efficiency and Usability", Computation, vol. 8, no. 1, 2020. https://doi.org/10.3390/computation8010004
H.H. Holm, A.R. Brodtkorb, G. Brostrøm, K.H. Christensen, and M.L. Sætra, "Evaluation of selected finite-difference and finite-volume approaches to rotational shallow-water flow", Communications in Computational Physics, vol. 27, no. 4, 2020, pp. 1234–1274. https://doi.org/10.4208/cicp.OA-2019-0033
Conference articles and lectures
H.H. Holm, M.L. Sætra, and A.R. Brodtkorb, "Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs", in Finite Volumes for Complex Applications IX - Methods, Theoretical Aspects, Examples. R. Klöfkorn, E. Keilegavlen, F.A. Radu og J. Fuhrmann, Ed. Springer, 2020, pp. 715–724. https://doi.org/10.1007/978-3-030-43651-3_68
H.H. Holm, M.L. Sætra, and A.R. Brodtkorb, "Data Assimilation for Ocean Drift Trajectories using Massive Ensembles and GPUs", presented at Finite Volumes for Complex Applications IX - Methods, Theoretical Aspects, Examples, Bergen, Norway, 2020, [Online].
H.H. Holm, A.R. Brodtkorb, and M.L. Sætra, "Performance and Energy Efficiency of CUDA and OpenCL for GPU Computing using Python", in Volume 36: Parallel Computing: Technology Trends. I. Foster, G.R. Joubert, L. Kučera, W.E. Nagel og F. Peters, Ed. IOS Press, 2020, pp. 593–604. https://doi.org/10.3233/APC200089
H.H. Holm, M.L. Sætra, and A.R. Brodtkorb, "Performance, usability, and energy efficiency of CUDA and OpenCL for GPU computing with Python", presented at The International Conference on Parallel Computing ParCo2019, Prague, Czech Republic, 2020.
A.R. Brodtkorb, "Simplified Ocean Models on GPUs", in NIKT: Norsk IKT-konferanse for forskning og utdanning, 2018. https://ojs.bibsys.no/index.php/NIK/article/view/500
A.R. Brodtkorb, "Simplified Ocean Models on the GPU", presented at Norsk Informatikkonferanse, Longyearbyen, Svalbard, Norge, 2018.
H.H. Holm, "GPU Ocean: Simplified Ocean Models and Particle Filters", presented in DARC Seminar Series, Reading, England, 2018.
M.L. Sætra, "GPU Ocean: Efficient shallow-water simulations on the GPU", presented in DARC Seminar Series, Reading, England, 2018.
Posters
H.H. Holm, A.R. Brodtkorb, and M.L. Sætra, "Drift Trajectory Predictions using Massive Ensembles of Simplified Ocean Models", presented at Geilo Winter School, Geilo, Norway, 2020.
H.H. Holm, "GPU Ocean: Efficient simplified ocean models and non-linear data assimilation", presented at Geilo Winter School, Geilo, Norway, 2019.
H.H. Holm, "GPU Ocean: Efficient simplified ocean models and non-linear data assimilation", presented at Symposium on Oceanographic Data Analytics, Trondheim, Norway, 2018.
H.H. Holm, "GPU Ocean: Efficient simplified ocean models and non-linear data assimilation", presented at GeoHackWeek, Seattle, Washington, USA, 2018.