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Leistungen
This document provides the initial strategies to enrich pilot applications by meaningful visualization techniques such as virtual reality or scientific visualization approaches. It outlines data, requirements and methods that must be used/developed to deliver efficient and productive visual analysis tools. To do that the deliverable translates prerequisites from D2.1 into functional software definitions in the visualisation domain. This is a living document that summarizes most recent findings and will be advanced in D4.7 and D4.8.
Scalability, Optimization and Co-Design Activities (M22) (öffnet in neuem Fenster)D3.2 reports on the software development progress and provides optimization strategies on current and novel infrastructures. To this end, this document includes a benchmarking report to further improve software lifecycles. Furthermore, information about identified ensemble scenarios for pilot applications is provided. This deliverable also translates the specifications of D3.1 into a rapid prototype implementation, and thus provides software artefacts for optimised frameworks, but also initial implementations as well as optimisations within the HPC and HPDA domains complemented by visualisation results.
Implementation Report on Pilot Applications (M29) (öffnet in neuem Fenster)This D5.7 report shows the progress of the Pilot advancements and envisaged coupling applications. This deliverable provides insights into the development actions of WP5 from a holistic point of view bringing together outcomes from research advancements as well as synergies and coupled simulations reflected as general advancement of pilot development. This is a living document that continues study from D5.6 and outlines most recent findings in the pilot area, which will be updated once again in D5.8.
Ensemble Scenarios for Global Challenges (M21) (öffnet in neuem Fenster)This report provides findings on identified ensemble scenarios, detailing the results of independent simulation runs, and the application of AI for additional insights. Three complementing perspectives will be the subject of research in the definition of scenarios: uncertainty quantification and input space exploration and sensitivity analyses.
Visualisations for Global Challenges (M28) (öffnet in neuem Fenster)This report is a continuation of D4.6, and thus D4.7 continues the analysis of visualization strategies for pilot applications. It presents progress made in development of efficient and productive visual analysis tools. New requirements that might have arisen on visualization aspects as defined in D2.2 will be considered and translated into functional software definitions in the visualisation domain.
Innovative HPC Technologies and Benchmarking (M15) (öffnet in neuem Fenster)The report will provide information on promising new hardware and software technologies, which are applicable to potentially improve the functionality and performance of HiDALGO2. Furthermore, the HiDALGO2 benchmark suite is defined based on available and accessible systems. This is a living document that outlines most recent findings in the innovative areas, and thus will be updated in D3.5 and D3.6.
Research Advancements for the Pilots (M23) (öffnet in neuem Fenster)Elaboration presented in D5.4 is a continuation and expansion of the assumptions granted in D5.3 in terms of recent achievements in modelling of solvers, and the development of accuracy and versatility of pilot applications. In addition to showing the progress of individual applications, advances in use case workflows will be induced as an enrichment for the overall computational use case model.
HiDALGO Dashboard and Services (M28) (öffnet in neuem Fenster)This document is a continuation of D2.7. This deliverable elaborates the HiDALGO2 Dashboard in terms of the functionality provided to the operational environment. It details how already delivered and existing backend services of HiDALGO will be integrated with the MathSO platform along with other complementary services to define a comprehensive offering. The Dashboard covers the expectations of internal and external stakeholders of the Global Challenges domain on operational issues, awareness raising and community building.
Scalability, Optimization and Co-Design Activities (M12) (öffnet in neuem Fenster)This report informs about the initial findings of the benchmarking activities to set baselines for optimization tasks. Moreover, this report defines the initial strategies for optimising applications and implementing novel algorithms and methods. Strategies for the co-design of pilot applications in conjunction with WP5 will be provided.
Training Activities (M16) (öffnet in neuem Fenster)In the first place this deliverable analyses the current scope for the training activity and defines the necessary roadmap for the generation of the training courses and their corresponding curriculum. Moreover, it identifies and creates a catalogue on the current state-of-the-art across the mentioned domains with a special focus on Global Challenges.
Dissemination, Communication and Clustering Activities (M12) (öffnet in neuem Fenster)Annual report on community building, dissemination, event management and collaboration activities.
Research Advancements for the Pilots (M10) (öffnet in neuem Fenster)This report presents initial research advancements of the pilot applications. It settles the scene for the future developments by drafting a roadmap, highlighting identified bottlenecks in software, specifying details regarding data transfer, as well as reflecting on software and hardware requirements defined in D2.1. At least one scenario will be stated for each individual use case as a foundation for the future developments and code improvements towards scientific excellence.
Training Activities (M30) (öffnet in neuem Fenster)This deliverable reports about the progress towards training throughout year two of the project’s lifetime. It details the fundamental training material created in HiDALGO2, which is significantly extended towards the new fields covered by the pilots as well as Exascale support with special attention on addressing the skills gap.
HiDALGO Dashboard and Services (M14) (öffnet in neuem Fenster)This deliverable elaborates the HiDALGO2 Dashboard in terms of the functionality provided to the operational environment. It details how already delivered and existing backend services of HiDALGO will be integrated with the MathSO platform along with other complementary services to define a comprehensive offering. The Dashboard covers the expectations of internal and external stakeholders of the Global Challenges domain on operational issues, awareness raising and community building. This is a living document that outlines most recent findings in abovementioned areas and will be advanced in D2.8 and D2.9.
Dissemination, Communication and Clustering Activities (M29) (öffnet in neuem Fenster)Periodic report on community building, dissemination, event management and collaboration activities.
Achievements, Synergies and Coupled Simulations (M18) (öffnet in neuem Fenster)This report presents the initial outcomes of the pilot implementations. Furthermore, it defines an integration workflow and describes the integration hardware. This report also identifies synergies between pilots and potential coupling scenarios between use cases. Hereby, it will discuss benefits taken out of this collaboration at different levels: model, software, and hardware. These considerations will be continued in Deliverable D5.2.
Advances in HPDA and AI for Global Challenges (M16) (öffnet in neuem Fenster)D4.3 develops preliminary approaches on how HPDA and Artificial Intelligence methodologies can support the workflow integration of Global Challenges applications. HPDA includes performant, scalable analytics tasks that assist applications in all stages of their execution. Instead, AI supports pilot workflows including selected implementation stages such as model creation, data pre-processing, model execution, and result post-processing. Both will concentrate on potential improvements in terms of accuracy, simulation time, time-to-first-fit, or result interpretation are anticipated. Nevertheless, the focus will be put to generic applicability, so that the developed methodologies can be transferred to other application domains. This document is a living document to be updated in M34 (D4.4) and M45 (D4.5).
Project Exploitation and Sustainability (M26) (öffnet in neuem Fenster)Within this document, the initial findings of exploitation and sustainability strategy for HiDALGO2 are presented, considering the future capabilities of certain use cases, stakeholders, and customer groups.
Uncertainty Quantification (M26) (öffnet in neuem Fenster)The implementation of uncertainty quantification mechanisms is presented in the light of the use of HiDALGO2 in the workflow. In addition, the developed framework is introduced on supercomputing infrastructures for sensitivity analysis of simulation applications.
Innovative HPC Technologies and Benchmarking (M27) (öffnet in neuem Fenster)This deliverable is a continuation of D3.4. The report will provide information on promising new hardware and software technologies, which are applicable to potentially improve the functionality and performance of HiDALGO2. Furthermore, the HiDALGO2 benchmark suite is defined based on available and accessible systems.
Infrastructure Provisioning, Workflow Orchestration and Component Integration (M24) (öffnet in neuem Fenster)This deliverable is a continuation of D2.4. This deliverable defines the HiDALGO2 operation environment, available hardware and software on the provider’s site, based upon the requirement analysis in D2.1, to support a quick uptake by the technical work packages WP3, WP4 and WP5. Moreover, this report reports about the HiDALGO2 Dashboard architecture, the component integration, and the development roadmap. Furthermore, hybrid workflows will be discussed in order to realize HIDALGO2 simulations and use cases.
Data Management and Coupling Technologies (M11) (öffnet in neuem Fenster)This report defines data required by use cases and how data is handled within the HiDALGO2 ecosystem. Therefore, this report further specifies data structures as well as fetching and delivering techniques depending on processing methods. Additionally, it introduces coupling solutions applicable to project requirements. The document is a living document, further updated and reported in D4.2.
Implementation Report on Pilot Applications (M15) (öffnet in neuem Fenster)This report provides the initial status assessment of all pilots, but also the envisaged coupling applications. This deliverable provides insights into the initial development actions of WP5 from a holistic point of view bringing together outcomes from research advancements as well as synergies and coupled simulations reflected as general advancement of pilot development. This is a living document that outlines most recent findings in the pilot area; it will be updated in D5.7 and D5.8.
Infrastructure Provisioning, Workflow Orchestration and Component Integration (M11) (öffnet in neuem Fenster)This deliverable defines the HiDALGO2 operation environment, available hardware and software on the provider’s site, based upon the requirement analysis in D2.1, to support a quick uptake by the technical work packages WP3, WP4 and WP5. Moreover, this report reports about the HiDALGO2 Dashboard architecture, the component integration, and the development roadmap. Furthermore, hybrid workflows will be discussed in order to realize HIDALGO2 simulations and use cases. This deliverable is a living document, which will have updates in the next release documents D2.4 and D2.5.
Brand and Roadmap for Awareness Campaign (M6) (öffnet in neuem Fenster)This deliverable will present the initial version of the HiDALGO2 website as well as the design schemes for the corporate identity including project logo, deliverable templates, presentation templates, to name but a few.
The Data Management Plan will contain the types of data the project will generate or collect, the standards that will be applied as well as how data will be exploited, shared, and reused. Finally, a strategy for data curation and preservation will be presented according to the FAIR principles.
Data Management Plan - update (öffnet in neuem Fenster)This report updates information delivered along with D1.5 in the Data Management Plan. It contains the types of data the project will generate or collect, the standards that will be applied as well as how data will be exploited, shared, and reused. Finally, a strategy for data curation and preservation will be presented according to the FAIR principles.
Veröffentlichungen
Autoren:
Bakosi J, Constans M, Horváth Z, Kovács Á, Környei L, Charest M, Pandare A, Rutherford P, Waltz J.
Veröffentlicht in:
Fluids, Ausgabe 8(5):147, 2023, ISSN 2311-5521
Herausgeber:
MDPI
DOI:
10.3390/fluids8050147
Autoren:
Josef Bakosi
Veröffentlicht in:
Computer Methods in Applied Mechanics and Engineering, Ausgabe Volume 418, Part B, 5 January 2024, 116586, 2024, ISSN 0045-7825
Herausgeber:
Elsevier BV
DOI:
10.1016/j.jcp.2023.112313
Autoren:
Zohra Djatouti, Luca Berti, Vincent Chabannes, Christophe Prud’homme
Veröffentlicht in:
Matapli, Ausgabe 131, 2023
Herausgeber:
The Centre de Recherche en Mathématiques de la Décision
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