NCC Iceland & Minister of Higher Education, Science and Innovation of Iceland
👉 Áslaug Arna Sigurbjörnsdóttir, Minister of Higher Education, Science and Innovation
Ministry Report “Reykjavík Institute & High Performance Computing – Benefits for the Icelandic Science Community” (2022-01)
👉 Ministry Report
👉 Ministry Talk (by Prof. Dr. Morris Riedel, Head of NCC Iceland for HPC and AI)
NCC Iceland & Selected Testimonials
👉 SME Mideind ehf Testimonial by CEO Vilhjálmur Þorsteinsson (2022)
Mideind ehf is a Natural Language Processing (NLP) Company and works closely together with experts of the NCC Iceland Simulation and Data Lab NLP.
👉 SME Treble Testimonial working with NCC Iceland and CoE RAISE (2022)
Treble Technologies is a Sound Engineering Company and works closely together with experts of the NCC Iceland Simulation and Data Lab ACUTE.
NCC Iceland & Selected Success Stories
👉 Joint Trainings of NCC Iceland and CoE RAISE on AI in Engineering & Scientific Topics (2022)
CoE RAISE is a European Centre of Excellence for Research on AI- and Simulation-Based Engineering at Exascale (CoE RAISE) and works closely together with NCC Iceland in a variety of engineering, AI, and scientific disciplines, including training.
👉 Joint Organization of NCC Iceland and Borealis Data Centers for the Responsible HPC Conference (2022)
The Responsible HPC Conference is an annual event for bringing together SMEs, industrial partners and academics to discuss topics on HPC, HPDA, and AI. NCC Iceland organized this event together with the Borealis Data Centers.
Publications Simulation & Data Lab Remote Sensing / Simulation & Data Lab Health & Medicine
M. Riedel, M. Book, H. Neukirchen, G. Cavallaro and A. Lintermann, “Practice and Experience using High Performance Computing and Quantum Computing to Speed-up Data Science Methods in Scientific Applications,” 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO), 2022, pp. 281-286, doi: 10.23919/MIPRO55190.2022.9803802.
M. Riedel et al., “Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures,” 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2021, pp. 76-85, Online: https://doi.org/10.1109/IPDPSW52791.2021.00019
Publications Simulation & Data Lab Computionatal Fluid Dynamics
R. Hassanian, M. Riedel, P. Costa, A. Helgadottir, L. Bouhlali, “Lagrangian Particle Tracking Data of a Straining Turbulent Flow Assessed Using Machine Learning and Parallel Computing,” in Proceedings of 33rd Parallel Computational Fluid Dynamics (ParCFD) 2022. Alba, Italy, 2022, Online: https://hdl.handle.net/20.500.11815/3515
Hassanian, R., Riedel, M., Yeganeh, N., Unnthorsson, R.: A Practical Approach for Estimating the Optimum Tilt Angle of a Photovoltaic Panel for a Long Period—Experimental Recorded Data, Journal of MDPI Solar, vol. 1, no 1, 2021
R Hassanian, M Riedel, “Mechanical Elements Analysis of Stewart Platform: Computational Approach”, International Journal of Science and Research (IJSR) 11 (4), 2022, pp. 1166 – 1171, Online: https://hdl.handle.net/20.500.11815/3313
Publications Simulation & Data Lab Health & Medicine
C. Barakat et al., “Lessons learned on using High-Performance Computing and Data Science Methods towards understanding the Acute Respiratory Distress Syndrome (ARDS),” MIPRO 2022, pp. 368-373, Online: https://doi.org/10.23919/MIPRO55190.2022.9803320