Livrables
This report will include the identified bottlenecks as well as a preliminary analysis of such issues when considering the communication architecture, the storage architecture, and the use of heterogeneous components. This report will be the baseline for the work of the remaining tasks in this WP. This deliverable will collect theoutcome from task T3.1.
Design of the Pillar I use casesReport on the choice of industrially relevant problems to be addressed in the WP. Report will identify success criteria as well as potential breakthroughs
Revision of Requirements and architecture designSecond version of the Pillars’ requirements and architecture design (output from tasks 1.1, 1.2, 4.1, 5.1, 6.1)
Requirements on the eFlows4HPC software stack from Pillar II and evaluation metrics.This report will include a prioritized list of requirements that will guide the design and implementation of the different Pillar II use cases as well as of the core eFlows4HPC components. The deliverable will also include a set of metrics to be used in the evaluation of the developed workflows
Report on Implementing Containerization and Optimization StrategyThis deliverable will describe the implementation of the Optimization Strategy (D2.2) and possibly reevaluate the approach taken. Tasks 2.1, 2.2, 2.3 contribute to this deliverable.
Optimized kernels for heterogeneous componentsThis document will reflect the final version of the optimized kernels developed in the project for the use of heterogeneous components. It will compound application kernels and neural network kernels. This deliverable will collect the work from tasks T3.2and T3.4, including associated evaluation work from T3.6.
Second Dissemination and Communication ReportThis deliverable will report on the dissemination and communication activities of the project done during the second year.
Validation of the Pillar I use casesReport on the validation of the ROM models. Evaluation of success criteria.
Requirements on the eFlows4HPC software stack from Pillar I and evaluation metricsSummary of conclusions on the pillar I requirements.
Optimized data management with new storage technologiesThis document will reflect the optimizations performed with new storage technologies. This deliverable will collect the work from task T3.5 and associated evaluation work from T3.6.
Optimized kernels for EPIIn this report the optimized kernels for the EPI will be described. Their implementation on the emulated hardware platform will be provided and its projected performance and energy saving. This deliverable will collect the work from task T3.3, including associatedevaluation work from T3.6.
Initial draft of optimized kernels for EPIIn this report the draft version of the optimized kernels for the EPI will be described. Their implementation on the emulated hardware platform will be provided and its projected performance and energy saving. This deliverable will collect the work from task T3.3, including associated evaluation work from T3.6.
Final Report on Data Logistics ImplementationThis report will comprise the description of the final version of Data Logistics Service, implementation of data pipelines motivated by Pillars. Task 2.3 and 2.4 contribute to this deliverable.
Training PlanThis deliverable will define the objectives of the project's training activities, the initial plans for organization of the training activities, as well as the materials that will be provided.
Technology Evaluation, Containerization and Optimization StrategyBased on the available requirements, this deliverable will derive a strategy for optimizing deployment in all envisioned dimensions: by optimizing libraries and runtimes, using containers, and application of emerging storage solutions. Tasks 2.1, 2.2, 2.3 contribute to this deliverable.
Validation of requirementsThis report will include the process and outcome of the validation of the requirements (internal and external evaluations).
Initial draft of optimized kernels for heterogeneous componentsThis document will reflect a first draft version of the optimized kernels developed in the project for the use of heterogeneous components. It will compound application kernels and neural network kernels. This deliverable will collect the work from tasks T3.2 and T3.4, including associated evaluation work from T3.6.
Requirements on the eFlows4HPC software stack from Pillar III and evaluation metricsSummary of conclusions on the pillar III requirements.
Report of the organization of community workshopsThis deliverable will report on the community workshops organized during the lifetime of the project.
Protocol for urgent HPCProtocol definition and governance recommendations regarding urgent HPC.
Dissemination and Communication PlanThis deliverable will set out the dissemination and communication strategy and the activities to be undertaken to achieve this. Results of the dissemination work will be reported in the periodic and final reports.
Description of the use cases for Pillar IIICompendium of datasets and models employed for development and validation of Pillar III workflows
First Dissemination and Communication ReportThis deliverable will report on the dissemination and communication activities of the project done during the first year.
Design of the Pillar II use casesThis report provides a complete design and comprehensive documentation of the software architecture of the Pillar II use cases
Final Dissemination and Communication ReportThis deliverable will report on the final dissemination and communication activities of the complete project.
Requirements, metrics and architecture designFirst version of the pillar’srequirements, evaluation metrics and architecture design (output from tasks 1.1, 1.2, 4.1, 5.1, 6.1)
First version of the design and implementation of the eFlows4HPC software stack interfaces. Tasks 1.3, 1.4, 1.5 contribute to this deliverable.
Database of Earth modelsRelease of Earth models obtained for the usecase regions, together with associated metadata.
Pillar II - Iteration 2 Software ReleaseThis deliverable relates to the software and documentation released at the end of Iteration 2 for the implementation of the Pillar II use cases.
First version of Data LogisticsThis deliverable will be the first production version of Data Logistics service integration with selected storage technology and demonstration of a data pipeline motivated by the Pillars’ use cases. Task 2.3 and 2.4 contribute to this deliverable.
ROM Tools ReleaseCode Release of essential tools for ROM preparation
Data CatalogueBased on the requirements report D1.1 this deliverable will analyse and describe the data sources used by the Pillars. This information will be made available in the form of an electronic document or service.
eFlows4HPC interfaces and final software stack releaseSecond version of the design and implementation of the eFlows4HPC software stack interfaces. Tasks 1.3, 1.4, 1.5, 1.6 and 1.7 contribute to this deliverable.
Iteration 1 workflows for urgent computing of natural hazardsTaskbased version of UCIS4EQ and PTF workflows.
Demo ROMRelease of demonstrator ROM model.
eFlows4HPC interfaces and Iteration 2 software stack releaseSecond version of the design and implementation of the eFlows4HPC software stack interfaces. Tasks 1.3, 1.4, 1.5, and 1.6 contribute to this deliverable.
Pillar II - Iteration 1 Software ReleaseThis deliverable relates to the software and documentation released at the end of Phase 1 for the implementation of the Pillar II use cases
Iteration 2 workflows for urgent computing of natural hazardsFinal releases of the UCIS4EQ and PTF workflows.
Release of HPCWaaS integrated solver stackRelease of software stack integrated in the HPCWaaS interface
Document outlining how data will be managed during the project from internal and external point of view. The DMP will include a table specifying how the datawill be exploited, shared for verification and reuse. Updates to this report will be provided in M12, M24 and M36.
Publications
Auteurs:
Rodríguez, J.F.; Macías, J.; Castro, M.J.; de la Asunción, M.; Sánchez-Linares, C. Use of Neural Networks for Tsunami Maximum Height and Arrival Time Predictions. GeoHazards 2022, 3, 323-344.
Publié dans:
GeoHazards, Numéro 3(2), 2022, ISSN 2624-795X
Éditeur:
MDPI
DOI:
10.3390/geohazards3020017
Auteurs:
Ivagnes, Anna; Demo, Nicola; Rozza, Gianluigi
Publié dans:
The International Journal for Numerical Methods in Engineering, 2024, ISSN 0029-5981
Éditeur:
John Wiley & Sons Inc.
DOI:
10.48550/arxiv.2305.07515
Auteurs:
Andrés E. Tomás; Enrique S. Quintana-Orti; Hartwig Anzt
Publié dans:
The International Journal of High Performance Computing Applications, 2023, ISSN 1094-3420
Éditeur:
SAGE Publications
DOI:
10.1177/10943420231179699
Auteurs:
Sergio Barrachina, Adrián Castelló, Manuel F. Dolz, Tze Meng Low, Héctor Martínez, Enrique S. Quintana-Ortí, Upasana Sridhar, Andrés E. Tomás,
Publié dans:
Journal of Systems Architecture, 2023, ISSN 1383-7621
Éditeur:
Elsevier BV
DOI:
10.1016/j.sysarc.2022.102806
Auteurs:
Bravo, J. & Stabile, Giovanni & Hess, M. & Hernández, Joaquin & Rossi, R. & Rozza, Gianluigi.
Publié dans:
Journal of Computational Physics, 2023, ISSN 0021-9991
Éditeur:
Academic Press
DOI:
10.48550/arxiv.2307.05227
Auteurs:
Alex Barcelo; Anna Queralt; Toni Cortes
Publié dans:
Distributed, Parallel, and Cluster Computing, Numéro Volume 149, 2023, Page(s) 359-375, ISSN 0167-739X
Éditeur:
Elsevier BV
DOI:
10.1016/j.future.2023.07.032
Auteurs:
J.A. Hernández, A. Giuliodori, E. Soudah,
Publié dans:
Computer Methods in Applied Mechanics and Engineering, Numéro Volume 418, Part A,, 2024, ISSN 0045-7825
Éditeur:
Elsevier BV
DOI:
10.1016/j.cma.2023.116492
Auteurs:
Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio, Rosa M. Badia, Jorge Ejarque & Fernando Vázquez-Novoa
Publié dans:
JournalofBigData, 2024, ISSN 2196-1115
Éditeur:
JournalofBigData
DOI:
10.1186/s40537-023-00862-w
Auteurs:
G. Houzeaux; R.M. Badia; R. Borrell; D. Dosimont; J. Ejarque; M. Garcia-Gasulla; V. López
Publié dans:
Distributed, Parallel, and Cluster Computing (cs.DC), 2021, ISSN 0045-7930
Éditeur:
Pergamon Press Ltd.
DOI:
10.1016/j.compfluid.2022.105577
Auteurs:
Domenico Talia, Paolo Trunfio
Publié dans:
Computer, Numéro Volume: 56, Numéro: 4,, 2023, ISSN 0018-9162
Éditeur:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/mc.2023.3241733
Auteurs:
Donatello Elia, Cosimo Palazzo, Sandro Fiore, Alessandro D’Anca, Andrea Mariello, Giovanni Aloisio
Publié dans:
SoftwareX, Numéro Volume 24, 2023, ISSN 2352-7110
Éditeur:
SoftwareX
DOI:
10.1016/j.softx.2023.101538
Auteurs:
Arash Hajisharifi; Michele Girfoglio; Annalisa Quaini; Gianluigi Rozza
Publié dans:
Finite Elements in Analysis and Design, Numéro 228, 2024, ISSN 0168-874X
Éditeur:
Elsevier BV
DOI:
10.48550/arxiv.2307.08790
Auteurs:
Sandra Catalán, Francisco D. Igual, José R. Herrero, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí,
Publié dans:
Journal of Parallel and Distributed Computing, 2023, Page(s) 51-65, ISSN 0743-7315
Éditeur:
Academic Press
DOI:
10.1016/j.jpdc.2023.01.004
Auteurs:
Accarino, Gabriele; Donno, Davide; Immorlano, Francesco; Elia, Donatello; Aloisio, Giovanni
Publié dans:
Earth and Space Science, Numéro 23, 2023, Page(s) Volume 10, Numéro 11, ISSN 2333-5084
Éditeur:
American Geophysical Union (AGU)
DOI:
10.1029/2023ea003106
Auteurs:
A. Giuliodori, J.A. Hernández, E. Soudah,
Publié dans:
Computer Methods in Applied Mechanics and Engineering, Numéro Volume 407, 2023, ISSN 0045-7825
Éditeur:
Elsevier BV
DOI:
10.1016/j.cma.2023.115913
Auteurs:
Lei, Jie; Flich, José; Quintana-Ort, Enrique S.
Publié dans:
Euromicro Conference on Parallel, Distributed and Network-Based Processing 2023, 2023, ISSN 2377-5750
Éditeur:
IEEE
DOI:
10.1109/pdp59025.2023.00043
Auteurs:
Coscia, D; Meneghetti, L; Demo, N; Stabile, G; Rozza, G
Publié dans:
Computational Mechanics, Numéro 72, 2023, Page(s) 253–265, ISSN 0178-7675
Éditeur:
Springer Verlag
DOI:
10.1007/s00466-023-02291-1
Auteurs:
C. Ramirez, Adrián Castelló, Enrique S Quintana-Orti
Publié dans:
The Journal of Supercomputing, 2022, ISSN 0920-8542
Éditeur:
Kluwer Academic Publishers
DOI:
10.1007/s11227-022-04581-6
Auteurs:
J.A. Hernández, J.R. Bravo, S. Ares de Parga
Publié dans:
Computer Methods in Applied Mechanics and Engineering, Numéro Volume 418, Part B,, 2024, ISSN 0045-7825
Éditeur:
Elsevier BV
DOI:
10.1016/j.cma.2023.116552
Auteurs:
Christian Narváez-Muñoz; Mohammad R. Hashemi; Pavel B. Ryzhakov; Jordi Pons-Prats
Publié dans:
Physics of Fluids, Numéro 6, 2023, Page(s) 35, ISSN 1089-7666
Éditeur:
AIP Publishing
DOI:
10.1063/5.0127274
Auteurs:
Accarino, Gabriele; Donno, Davide; Immorlano, Francesco; Elia, Donatello; Aloisio, Giovanni
Publié dans:
Earth and Space Science, Numéro 3, 2023, ISSN 2333-5084
Éditeur:
AGU Journals
DOI:
10.48550/arxiv.2306.07291
Auteurs:
Guglielmo Scovazzi; Rubén Zorrilla; Riccardo Rossi
Publié dans:
Computer Methods in Applied Mechanics and Engineering, Numéro Volume 412, 2023, ISSN 0045-7825
Éditeur:
Elsevier BV
DOI:
10.1016/j.cma.2023.116076
Auteurs:
Jorge Ejarque; Rosa M. Badia; Loïc Albertin; Giovanni Aloisio; Enrico Baglione; Yolanda Becerra; Stefan Boschert; Julian R. Berlin; Alessandro D’Anca; Donatello Elia; François Exertier; Sandro Fiore; José Flich; Arnau Folch; Steven J. Gibbons; Nikolay Koldunov; Francesc Lordan; Stefano Lorito; Finn Løvholt; Jorge Macías; Fabrizio Marozzo; Alberto Michelini; Marisol Monterrubio-Velasco; Mart
Publié dans:
EPIC3Future Generation Computer Systems, Numéro 134, 2022, Page(s) 414-429, ISSN 0167-739X
Éditeur:
Elsevier BV
DOI:
10.1016/j.future.2022.04.014
Auteurs:
Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia & Paolo Trunfio
Publié dans:
Journal of Big Data, Numéro 9:4, 2022, ISSN 2196-1115
Éditeur:
SpringerOpen
DOI:
10.1186/s40537-021-00555-2
Auteurs:
Rosa M. Badia; Javier Conejero; Jorge Ejarque; Daniele Lezzi; Francesc Lordan
Publié dans:
Computing in Science & Engineering, Numéro 24(2), 2022, ISSN 1558-366X
Éditeur:
IEEE
DOI:
10.22541/au.164557536.67201934/v1
Auteurs:
Jorge Ejarque; Rosa M Badia
Publié dans:
The International Journal of High Performance Computing Applications, 2023, ISSN 1094-3420
Éditeur:
SAGE Publications
DOI:
10.1177/10943420231165729
Auteurs:
Alex Barceló; Anna Queralt; Anna Queralt; Toni Cortes; Toni Cortes
Publié dans:
Future Generation Computer Systems, Numéro Volume 129, 2021, Page(s) 425-439, ISSN 0167-739X
Éditeur:
Elsevier BV
DOI:
10.1016/j.future.2021.10.025
Auteurs:
José I. Aliaga; Hartwig Anzt; Enrique S. Quintana‐Ortí; Andrés E. Tomás
Publié dans:
Concurrency and Computation: Practice and Experience, 2023, ISSN 1532-0626
Éditeur:
John Wiley & Sons Inc.
DOI:
10.1002/cpe.7871
Auteurs:
Belcastro, L., Giampà, S., Marozzo, F,Rosa M. Badia, Jorge Ejarque & Nihad Mammadli,Loris Belcastro, Salvatore Giampà, Fabrizio Marozzo, Domenico Talia & Paolo Trunfio
Publié dans:
The Journal of Supercomputing, 2024, ISSN 0920-8542
Éditeur:
Kluwer Academic Publishers
DOI:
10.1007/s11227-023-05883-z
Auteurs:
Coscia, Dario; Demo, Nicola; Rozza, Gianluigi
Publié dans:
Sci Rep, Numéro 14, 2024, ISSN 2045-2322
Éditeur:
Nature Publishing Group
DOI:
10.48550/arxiv.2305.15881
Auteurs:
Zorrilla Martínez, Rubén; Rossi, Riccardo
Publié dans:
Computers & Structures, Numéro 275, 2022, ISSN 0045-7949
Éditeur:
Pergamon Press Ltd.
DOI:
10.1016/j.compstruc.2022.106934
Auteurs:
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya
Publié dans:
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya, 2021, ISSN 978-1-6654-1136
Éditeur:
IEEE
DOI:
10.1109/works54523.2021.00016
Auteurs:
Rodríguez-Agut, David; Tornero-Gavilá, Rafael; Flich Cardo, José
Publié dans:
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), Numéro 1, 2023
Éditeur:
IEEE
DOI:
10.23919/date56975.2023.10137117
Auteurs:
Donatello Elia; Sonia Scardigno; Jorge Ejarque; Alessandro D’Anca; Gabriele Accarino; Enrico Scoccimarro; Davide Donno; Daniele Peano; Francesco Immorlano; Giovanni Aloisio
Publié dans:
SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, Numéro 1, 2023
Éditeur:
Association for Computing Machinery (ACM)
DOI:
10.1145/3624062.3624283
Auteurs:
M. F. Dolz
H. Martínez
P. Alonso
E. S. Quintana-Ortí
Publié dans:
2022, ISBN 978-1-6654-5155-0
Éditeur:
IEEE
DOI:
10.1109/sbac-pad55451.2022.00027
Auteurs:
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya
Publié dans:
2021 IEEE Workshop on Workflows in Support of Large-Scale Science, 2021, ISBN 978-1-6654-1137-0
Éditeur:
IEEE
DOI:
10.48550/arxiv.2110.02168
Auteurs:
Folch, Arnau; Bhihe, Cedric; Caviedes-Vouillième, Daniel; de la Puente, Josep; Esposti Ongaro, Tomaso; Garg, Deepak; Gibbons, Steven J.; Kaus, Boris; Monterrubio, Marisol; Räss, Ludovic; Reis, Claudia; Scaini, Chiara; Srivastava, Nishtha; Vilarrasa, Víctor; Zwinger, Thomas
Publié dans:
11th EGU Galileo Conference: Solid Earth and Geohazards in the Exascale Era Consensual document, 2023
Éditeur:
CSIC
DOI:
10.20350/digitalcsic/15439
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