CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.
I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .
Risultati finali
Strong and weak scaling for LHC code on selected HPC architecture; Identification of improvement potential; Implementation of algorithmic and methodological acceleration techniques; Exchange of methods
Stable adjoints (si apre in una nuova finestra)Preliminary report on stable adjoint for high Reynolds numbers
CEEC visualization and data management support (si apre in una nuova finestra)Final report on the support of visualization and data management for the CEEC light-house cases with focus on efficient parallel data transfers to visualization hardware
Dynamic resource management at the exascale (si apre in una nuova finestra)Report on the dynamic load balancing support developed in this project and its evaluation for at least two CEEC applications
CEEC exascale lighthouse cases and their needs (si apre in una nuova finestra)At the end of Phase 1 Requirements, this report documents the established resolution requirements in all dimensions; established number of grid points / DOF; Estimates for memory consumption, bandwidth requirements, I/O needs; Established parallelization status, identified target HPC architecture and needs; Definition of current code status and steps towards exascale readinessFurthermore, opportunities for exploiting synergies between the development of the different codes during the project will be described
Exploration of strategies for leveraging quantum computers (si apre in una nuova finestra)Results on POCs for exploiting quantum computers for selected computational tasks in CFD applications
Concepts for validation, documentation, sustainability and dissemination (si apre in una nuova finestra)Concepts for self- and cross validation, change and simulation documentation and reproducibility are established
Final code generation results (si apre in una nuova finestra)Documentation of the code generation tools and the results obtained for selected CEEC applications
Communication and dissemination plan (si apre in una nuova finestra)This deliverable will include an analysis of CEECs main target audiences. It will accordingly define a communication and dissemination strategy per target audience, including objectives, suitable channels, key messages, and specific activities to be undertaken in the course of the project.
Improved immersed boundary methods (si apre in una nuova finestra)Performance comparison and demonstrator of immersed boundary representation
Definition of a common benchmark test case (si apre in una nuova finestra)Overview of code capabilities, equations, regimes, strength and weaknesses; Definition of one or more common benchmark problems and performance metrics
Machine-learning-based submodels for CFD (si apre in una nuova finestra)Report on the implementation of ML-based submodels for selected use cases
Initial code inputs for EPI and EPI Pilots (si apre in una nuova finestra)Pre-tested benchmark and other code including input decks, run instructions and result verification tools or documentation based on the different CEEC codes
Intermediate performance and energy efficiency evaluation results (si apre in una nuova finestra)This report documents the initial findings on performance and energy efficiency of the CEEC applications for relevant workloads and define KPIs for the further improvement of each of the applications
Implementation and scaling status update including pre- & post-processing (si apre in una nuova finestra)Identification of parts of the toolchain that are relevant for exascale; Performance improvements; Demonstration of scaling of the full tool chain (in collaboration with WP4); Concept for simulation data management established; code versions available for deployment
Report on Communication and Dissemination (si apre in una nuova finestra)This deliverable will report on the activities of Task 6.1 until M24 based on the initial plan outlined in D6.2.
CEEC workflow support (si apre in una nuova finestra)Report on the workflow support for the light-house cases
Approach to code generation (si apre in una nuova finestra)Documentation of the results obtained from an evaluation of applying code generation techniques to the different CEEC applications
Zero-copy GPU-based visualization workflow (si apre in una nuova finestra)Memory management in the visualization system is extended to enable workflows where consecutive GPU based steps are executed without transferring memory via CPU
Approach to workflows, ML-based submodeling, visualization, uncertainty quantification and dynamic resource management (si apre in una nuova finestra)Documentation of the requirements for the techniques developed and/or enhanced within this work package derived from the light-house cases requirements documented in D1.1
Interim report on scalable, mixed-precision, and fault-resilient algorithms (si apre in una nuova finestra)Documentation of the progress on scalable, mixed-precision, and fault-resilient algorithms
Analysis of the CEEC codes and underlying solvers: Requirements and strategies definition (si apre in una nuova finestra)Documentation of the CEEC codes with the focus on the underlying solvers. Definition of the requirements and potential strategies for enhancing scalability, numerical properties, energy efficiency, as well as execution time
By month 4, the CEEC brand will be developed, including a logo, templates, banners for social media and the website. The initial website will be set up and designed accordingly. The design process and website structure will be outlined in this deliverable.
Documentation of the deployed infrastructure
Pubblicazioni
Autori:
S. Kemmler, P. Cuéllar, C. Rettinger, H. Köstler
Pubblicato in:
IOP Conference Series: Earth and Environmental Science, Numero 1480, 2025, ISSN 1755-1307
Editore:
IOP Publishing
DOI:
10.1088/1755-1315/1480/1/012024
Autori:
Marius Kurz, Daniel Kempf, Marcel P. Blind, Patrick Kopper, Philipp Offenhäuser, Anna Schwarz, Spencer Starr, Jens Keim, Andrea Beck
Pubblicato in:
Computer Physics Communications, Numero 306, 2024, ISSN 0010-4655
Editore:
Elsevier BV
DOI:
10.1016/J.CPC.2024.109388
Autori:
Samuel Kemmler, Pablo Cuéllar, Antoni Artinov, Li-Hua Luu, Abbas Farhat, Pierre Philippe, Christoph Rettinger, Harald Köstler
Pubblicato in:
Computers and Geotechnics, Numero 186, 2025, ISSN 0266-352X
Editore:
Elsevier BV
DOI:
10.1016/J.COMPGEO.2025.107375
Autori:
Yanxiang Chen, Pablo de Oliveira Castro, Paolo Bientinesi, Niclas Jansson, Roman Iakymchuk
Pubblicato in:
Future Generation Computer Systems, Numero 174, 2025, ISSN 0167-739X
Editore:
Elsevier BV
DOI:
10.1016/J.FUTURE.2025.107990
Autori:
Niclas Jansson, Martin Karp, Jacob Wahlgren, Stefano Markidis, Philipp Schlatter
Pubblicato in:
Concurrency and Computation: Practice and Experience, Numero 37, 2025, ISSN 1532-0626
Editore:
Wiley
DOI:
10.1002/CPE.8340
Autori:
Samuel Kemmler, Christoph Rettinger, Ulrich Rüde, Pablo Cuéllar, Harald Köstler
Pubblicato in:
The International Journal of High Performance Computing Applications, Numero 39, 2025, ISSN 1094-3420
Editore:
SAGE Publications
DOI:
10.1177/10943420241313385
Autori:
Marcel P. Blind, Tobias Gibis, Christoph Wenzel, Andrea Beck
Pubblicato in:
Physics of Fluids, Numero 36, 2024, ISSN 1070-6631
Editore:
AIP Publishing
DOI:
10.1063/5.0198271
Autori:
Niclas Jansson, Martin Karp, Stefano Markidis, Philipp Schlatter
Pubblicato in:
2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops), 2024
Editore:
IEEE
DOI:
10.1109/CLUSTERWORKSHOPS61563.2024.00036
Autori:
Niclas Jansson, Martin Karp, Adalberto Perez, Timofey Mukha, Yi Ju, Jiahui Liu, Szilárd Páll, Erwin Laure, Tino Weinkauf, Jörg Schumacher, Philipp Schlatter, and Stefano Markidis
Pubblicato in:
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '23), 2023, ISBN 979-8-4007-0109-2
Editore:
Association for Computing Machinery
DOI:
10.1145/3581784.3627039
Autori:
Yanxiang Chen, Pablo de Oliveira Castro, Paolo Bientinesi, Roman Iakymchuk
Pubblicato in:
Lecture Notes in Computer Science, Parallel Processing and Applied Mathematics, 2025
Editore:
Springer Nature Switzerland
DOI:
10.1007/978-3-031-85697-6_3
Autori:
Marc Blancafort, Roger Ferrer, Guillaume Houzeaux, Marta Garcia-Gasulla, Filippo Mantovani
Pubblicato in:
2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2024
Editore:
IEEE
DOI:
10.1109/IPDPS57955.2024.00047
Autori:
Iakymchuk, Roman; Gedik, Gülçin; Kulkarni, Kajol; Chen, Yanxiang; Kempf, Daniel; Kemmler, Samuel; Papageorgiou, Dimitris; Konioris, Damaskinos; Kiebdaj, Sally; Corbalan, Julita; Köstler, Harald
Pubblicato in:
2024
DOI:
10.5281/ZENODO.13306638
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