Home > Authorities > Grants > Record #899715
 

RAISE

Research on AI- and Simulation-Based Engineering at Exascale

Grant period2021-01-01 - 2023-12-31
Funding bodyEuropean Union
Call numberH2020-INFRAEDI-2019-1
Grant number951733
IdentifierG:(EU-Grant)951733

Note: Compute- and data-driven research encompasses a broad spectrum of disciplines and is the key to Europe’s global success in various scientific and economic fields. The massive amount of data produced by such technologies demands novel methods to post-process, analyze, and to reveal valuable mechanisms. The development of artificial intelligence (AI) methods is rapidly proceeding and they are progressively applied to many stages of workflows to solve complex problems. Analyzing and processing big data require high computational power and scalable AI solutions. Therefore, it becomes mandatory to develop entirely new workflows from current applications that efficiently run on future high-performance computing architectures at Exascale. The Center of Excellence for Research on AI- and Simulation-based Engineering at Exascale (RAISE) will be the excellent enabler for the advancement of such technologies in Europe on industrial and academic levels, and a driver for novel intertwined AI and HPC methods. These technologies will be advanced along representative use-cases, covering a wide spectrum of academic and industrial applications, e.g., coming from wind energy harvesting, wetting hydrodynamics, manufacturing, physics, turbomachinery, and aerospace. It aims at closing the gap in full loops using forward simulation models and AI-based inverse inference models, in conjunction with statistical methods to learn from current and historical data. In this context, novel hardware technologies, i.e., Modular Supercomputing Architectures, Quantum Annealing, and prototypes from the DEEP project series will be used for exploring unseen performance in data processing. Best practices, support, and education for industry, SMEs, academia, and HPC centers on Tier-2 level and below will be developed and provided in RAISE's European network attracting new user communities. This goes along with the development of a business providing new services to various user communities.
   

Recent Publications

All known publications ...
Download: BibTeX | EndNote XML,  Text | RIS | 

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;
Resource-adaptive successive doubling for hyperparameter optimization with large datasets on high-performance computing systems
Future generation computer systems 175, 108042 - () [10.1016/j.future.2025.108042] OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings/Contribution to a book  ;  ;  ;
Optimizing Edge AI Models on HPC Systems with the Edge in the Loop
High Performance Computing
ISC High Performance 2025, ISC 2025, HamburgHamburg, Germany, 10 Jun 2025 - 13 Jun 20252025-06-102025-06-13 Cham : Springer Nature Switzerland, Lecture Notes in Computer Science 16091, 148 - 161 () [10.1007/978-3-032-07612-0_12] OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings  ;  ;  ;  ;  ;  ;  ;
Improving Surface Soil Moisture Estimation with Distributed Deep Learning and HPC
2025 MIPRO 48th ICT and Electronics Convention, MIPRO2025, OpatijaOpatija, Croatia, 2 Jun 2025 - 6 Jun 20252025-06-022025-06-06 IEEE 1222-1227 () [10.1109/MIPRO65660.2025.11131987]  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Book/Dissertation / PhD Thesis
Parallel and Scalable Hyperparameter Optimization for Distributed Deep Learning Methods on High-Performance Computing Systems
172p () [10.34734/FZJ-2025-02982] = Dissertation, University of Iceland, 2025 OpenAccess  Download fulltext Files  Download fulltextFulltext BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings/Contribution to a book  ;  ;  ;  ;  ;
Investigating the Effects of Spanwise Transversal Traveling Waves on a Turbulent Compressible Flat Plate Flow With the Aid of a Deep Autoencoder Network
Proceedings of the 35th Parallel CFD International Conference 2024
35th Parallel CFD International Conference 2024, ParCFD 2024, BonnBonn, Germany, 2 Sep 2024 - 4 Sep 20242024-09-022024-09-04 Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich IAS Series 69, 89-93 () [10.34734/FZJ-2025-02462] OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings/Contribution to a book  ;  ;  ;  ;  ;
Creating a Virtual Population of the Human Nasal Cavity for Velocity-Based Predictions of Respiratory Flow Features Using Graph Convolutional Neural Networks
Proceedings of the 35th Parallel CFD International Conference 2024
35th Parallel CFD International Conference 2024, ParCFD 2024, BonnBonn, Germany, 2 Sep 2024 - 4 Sep 20242024-09-022024-09-04 Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich IAS Series 69, 80 - 83 () [10.34734/FZJ-2025-02460] OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings/Contribution to a book  ;  ;  ;  ;
Predicting Turbulent Boundary Layer Flows Using Transformers Coupled to the Multi-Physics Simulation Tool m-AIA
Proceedings of the 35th Parallel CFD International Conference 2024
35th Parallel CFD International Conference 2024, ParCFD 2024, BonnBonn, Germany, 2 Sep 2024 - 4 Sep 20242024-09-022024-09-04 Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich IAS Series 69, 76 - 79 () [10.34734/FZJ-2025-02459] OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;
Optimizing Wind Energy Production: Leveraging Deep Learning Models Informed with On-Site Data and Assessing Scalability through HPC
Acta polytechnica hungarica 21(9), 45 - 56 () [10.12700/APH.21.9.2024.9.4] OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings  ;  ;  ;  ;
Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, AthensAthens, Greece, 7 Jul 2024 - 12 Jul 20242024-07-072024-07-12 IEEE 432-436 () [10.1109/IGARSS53475.2024.10640974] OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings  ;  ;  ;  ;  ;  ;
Supporting Seismic Data Survey Design Through the Integration of Satellite-Based Land Cover Maps
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, AthensAthens, Greece, 7 Jul 2024 - 12 Jul 20242024-07-072024-07-12 IEEE 4624-4627 () [10.1109/IGARSS53475.2024.10642319] OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

All known publications ...
Download: BibTeX | EndNote XML,  Text | RIS | 

 Record created 2021-10-08, last modified 2023-02-10
Similar records



Rate this document:

Rate this document:
1
2
3
4
5
 
(Not yet reviewed)
JuSER :: Search :: Submit :: Personalize :: Help
Powered by Invenio v1.1.7 | join2_v2512
Maintained by juser@fz-juelich.de

Impressum | Data Privacy Policy
This site is also available in the following languages:
Deutsch  English