Research on AI- and Simulation-Based Engineering at Exascale

Risultati finali

Visual identity website social media accounts video etc created

Communication and dissemination plan (1)

Dissemination and communication and standardization report

Periodically updated document describing the change of education portfolio in accordance to RAISEs developments and industrialacademic needs

Report on porting & performance engineering (1)

Report on porting and performance engineering activities

Support report (2)

Report on support activities

Best practice guidelines/tutorials prototype

Best practice guidelines and tutorials for prototype systems are available

Network evaluation document (1)

Periodically updated documents i listing RAISEs connected networks their user groups contact persons and entry points ii evaluating the potential to include new communities iii describing information and service request transfer in RAISEs network

Best practice guidelines/tutorials for MSA/heterogenous systems

Best practice guidelines and tutorials for the various HPC systems are available

Support report (1)

Report on support activities

Network evaluation document (2)

Periodically updated documents i listing RAISEs connected networks their user groups contact persons and entry points ii evaluating the potential to include new communities iii describing information and service request transfer in RAISEs network

Educational services platform

Accessible and extendible online educational services platform including webinars e learning MOOCs etc

Software framework layout plan (1)

Software layout plan for a unique AI framework

Pubblicazioni

Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures

Autori: Morris Riedel, Rocco Sedona, Chadi Barakat, Petur Einarsson, Reza Hassanian, Gabriele Cavallaro, Matthias Book, Helmut Neukirchen and Andreas Lintermann
Pubblicato in: 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2021
Editore: IEEE
DOI: 10.1109/ipdpsw52791.2021.00019

Practice and Experience in Using Parallel and Scalable Machine Learning in Remote Sensing from HPC Over Cloud to Quantum Computing

Autori: Morris Riedel; Gabriele Cavallaro; Jon Atli Benediktsson
Pubblicato in: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS : [Proceedings] - IEEE, 2021. - ISBN 978-1-6654-0369-6 - doi:10.1109/IGARSS47720.2021.9554656<br/>IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, 2021-07-12 - 2021-07-16, Numero 2, 2021
Editore: IEEE
DOI: 10.1109/igarss47720.2021.9554656

Lagrangian Particle Tracking Data of a Straining Turbulent Flow Assessed Using Machine Learning and Parallel Computing

Autori: Hassanian, Reza; Riedel, Morris; Helgadottir, Asdis; Costa, Pedro; Bouhlali, Lahcen
Pubblicato in: Numero 3, 2022
Editore: ParCFD

Machine-Learning-Based Control of Perturbed and Heated Channel Flows

Autori: Mario Rüttgers, Moritz Waldmann, Wolfgang Schröder and Andreas Lintermann
Pubblicato in: ISC High Performance 2021, 2021
Editore: Springer

Educational Service Platform for Artificial Intelligence Resources

Autori: Ilmars Slaidins,Ieva Timrote,Viktors Zagorskis and Lauris Cikovskis
Pubblicato in: 2022 31st Annual Conference of the European Association for Education in Electrical and Information Engineering (EAEEIE), 2022
Editore: IEEE
DOI: 10.1109/eaeeie54893.2022.9820214

Speed-Up of Machine Learning for Sound Localization via High-Performance Computing

Autori: Eric Michael Sumner; Marcel Aach; Andreas Lintermann; Runar Unnthorsson; Morris Riedel
Pubblicato in: Crossref, Numero 1, 2022
Editore: IEEE
DOI: 10.1109/it54280.2022.9743519

Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification

Autori: Amer Delilbasic; Gabriele Cavallaro; Madita Willsch; Farid Melgani; Morris Riedel; Kristel Michielsen
Pubblicato in: IEEE 2608-2611 (2021). doi:10.1109/IGARSS47720.2021.9554802, Numero 1, 2021
Editore: IEEE
DOI: 10.1109/igarss47720.2021.9554802

A proposed hybrid two-stage DL-HPC method for wind speed forecasting: using the first average forecast output for long-term forecasting

Autori: Hassanian, R. ; Helgadottir, A. ; Aach, M. ; Lintermann, A. ; Riedel, M.
Pubblicato in: 2023
Editore: IACM Computational Fluids Conference (CFC2023)

Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification

Autori: Aach, Marcel; Sedona, Rocco; Lintermann, Andreas; Cavallaro, Gabriele; Neukirchen, Helmut; Riedel, Morris
Pubblicato in: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, 2022-07-17 - 2022-07-22, Numero 2, 2022, ISSN 2022-03638
Editore: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
DOI: 10.1109/igarss46834.2022.9883257

The capability of recurrent neural networks to predict turbulence flow via spatiotemporal features

Autori: Hassanian, Reza; Bouhlali, Lahcen; Riedel, Morris
Pubblicato in: 2022 IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems (ICCC), Numero 3, 2022
Editore: IEEE

Replicating Human Sound Localization with a Multi-Layer Perceptron

Autori: Sumner, Eric Michael; Unnthorsson, Runar; Riedel, Morris
Pubblicato in: Proceedings of the 19th Sound and Music Computing Conference, June 5-12th, 2022, Saint-Étienne (France, 2022
Editore: 19th Sound and Music Computing Conference

JUWELS Booster – A Supercomputer for Large-Scale AI Research

Autori: Stefan Kesselheim; Andreas Herten; Kai Krajsek; Jan Ebert; Jenia Jitsev; Mehdi Cherti; Michael Langguth; Bing Gong; Scarlet Stadtler; Amirpasha Mozaffari; Gabriele Cavallaro; Rocco Sedona; Alexander Schug; Alexandre Strube; Roshni Kamath; Martin G. Schultz; Morris Riedel; Thomas Lippert
Pubblicato in: ISC High Performance 2021: High Performance Computing pp 453–468, Numero 2, 2021, Pagina/e pp 453–468
Editore: International Conference on High Performance Computing
DOI: 10.1007/978-3-030-90539-2_31

Mechanical Elements Analysis of Stewart Platform: Computational Approach

Autori: Reza Hassanian and Morris Riedel
Pubblicato in: International Journal of Science and Research, 2022, ISSN 2319-7064
Editore: International Journal of Science and Research

HPC-enabling technologies for high-fidelity combustion simulations

Autori: Daniel Mira; Eduardo J. Pérez-Sánchez; Ricard Borrell; Guillaume Houzeaux
Pubblicato in: Crossref, Numero 3, 2022, ISSN 1540-7489
Editore: Combustion Institute
DOI: 10.1016/j.proci.2022.07.222

Modeling the wall shear stress in large-eddy simulation using graph neural networks

Autori: Dupuy, Dorian; Odier, Nicolas; Lapeyre, Corentin; Papadogiannis, Dimitrios
Pubblicato in: Data-Centric Engineering, Numero 40, 2023, ISSN 2632-6736
Editore: Cambridge University Press
DOI: 10.1017/dce.2023.2

A level set-based actuator disc model for turbine realignment in wind farm simulation: meshing, convergence and applications

Autori: Abel Gargallo-Peiró; Gonzalo Revilla; Matias Avila; Guillaume Houzeaux
Pubblicato in: Energies; Volume 15; Numero 23; Pages: 8877, Numero 3, 2022, ISSN 1996-1073
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15238877

Direct numerical simulations of methane, ammonia-hydrogen and hydrogen turbulent premixed flames

Autori: Victor Coulon, Jessica Gaucherand, Victor Xing, Davide Laera, Corentin Lapeyre, Thierry Poinsot
Pubblicato in: Combustion and Flame, Numero Volume 256, 2023, ISSN 0010-2180
Editore: Elsevier BV
DOI: 10.1016/j.combustflame.2023.112933

A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 Images

Autori: Rocco Sedona, Claudia Paris, Gabriele Cavallaro, Lorenzo Bruzzone and Morris Riedel
Pubblicato in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, ISSN 1939-1404
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jstars.2021.3115604

Analysis of Chest X-ray for COVID-19 Diagnosis as a Use Case for an HPC-Enabled Data Analysis and Machine Learning Platform for Medical Diagnosis Support

Autori: Chadi Barakat; Marcel Aach; Andreas Schuppert; Sigurður Brynjólfsson; Sebastian Fritsch; Morris Riedel
Pubblicato in: Diagnostics, Numero Volume 13, Numero 3, March 2023, 2023, Pagina/e Basel, Switzerland, ISSN 2075-4418
Editore: MDPI
DOI: 10.3390/diagnostics13030391

Implicit Equation for Photovoltaic Module Temperature and Efficiency via Heat Transfer Computational Model

Autori: Reza Hassanian, Morris Riedel, Asdis Helgadottir, Nashmin Yeganeh and Runar Unnthorsson
Pubblicato in: Thermo, 2022, ISSN 2673-7264
Editore: MDPI
DOI: 10.3390/thermo2010004

A Review in Context to Wind Effect on NOCT Model for Photovoltaic Panel

Autori: Reza Hassanian, Morris Riedel and Nashmin Yeganeh
Pubblicato in: Journal of Solar and Photoenergy Systems, 2022, ISSN 2577-8374
Editore: Crimson Publishers

A Practical Approach for Estimating the Optimum Tilt Angle of a Photovoltaic Panel for a Long Period—Experimental Recorded Data

Autori: Reza Hassanian, Morris Riedel, Nashmin Yeganeh and Runar Unnthorsson
Pubblicato in: Solar, 2021, ISSN 2673-9941
Editore: MDPI
DOI: 10.3390/solar1010005

Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors

Autori: Pata, Joosep; Wulff, Eric; Mokhtar, Farouk; Southwick, David; Zhang, Mengke; Girone, Maria; Duarte, Javier
Pubblicato in: Communications Physics, Numero 124, 2024, ISSN 2399-3650
Editore: Communications Physics
DOI: 10.1038/s42005-024-01599-5

Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks

Autori: Marcel Aach, Eray Inanc, Rakesh Sarma, Morris Riedel & Andreas Lintermann
Pubblicato in: Journal of Big Data, 2023, ISSN 2196-1115
Editore: Springer
DOI: 10.1186/s40537-023-00765-w

Numerical Investigation on the Acceleration Vibration Response of Linear Actuator

Autori: Reza Hassanian, Morris Riedel and Nashmin Yeganeh
Pubblicato in: Open Access Library Journal, 2022, ISSN 2333-9705
Editore: Scientific Research Publishing

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