Livrables
Initial description of the Exascale monitoring architecture.
Extreme scale monitoring architecture - FinalFinal description of the Exascale monitoring architecture
Strategies and methodology for data movement in ExascaleReport that presents an the load balance and optimization techniques designed for data movement in Exascale sytems
Dissemination and training report - Second yearReport that describes the workpackages activities results in the second year
Data collection and mining for Exascale systemsDescription of the explored data collection and mining methodologies.
Final ReportReport that presents an overview of the activities that were fulfilled during the project duration
RequirementsThis deliverable will consists of two-parts; the first in the shape of requirements analysis strategy and the second stage in the shape of the requirement repository.
Paradigms and models at run-time - final reportReport that presents the evaluation of the advance of the stateoftheart by using the WP2 concepts and tools for Exascale systems
Applications designThis report comprises detailed descriptions of the applications, the list of used WP2-WP4 concepts, their modes of integration with the applications, recommendations and APIs that will be taken into account in the redesign process, as well as the key performance indicators for the future evaluation of the improvements in performance through the re-design and re-implementation.
Validation of project outcomes through applicationsFinal validation and evaluation of the newly developed tools by WP2WP4 using the proposed use cases
Programming paradigms supporting extreme dataInclude the concepts and proposals from T2.1 and T2.2.
Auto-tune of Exascale applicationsFinal report providing detailed description of the developed tools related to the Exascale applications auto tuning
Strategies and methodology for Exascale data managementDescription of the predictive and adaptive data layout strategies designed for Exascale.
Dissemination and training report - First yearReport that describes the work packages activities results in the first half of the project.
Techniques for in-memory real-time data analytics support at Exascale levelReport that presents an the load balance and optimization techniques designed for data movement in Exascale sytems
Adaptive analysis of application behaviourReport that presents an overview of the novel methodologies and tools for adaptive analysis of applica tions behavior
Communication, collaboration, exploitation and standardization report - Third yearReport that describes the results of the activities in the project related to exploitation and standardization
Monitoring data collection and mining for Exascale systemsDescription of the explored data collection and mining methodologies.
Public Web site.
Description of the explored data collection and mining methodologies.
Libraries and tools to support extreme data processingCollection of software prototypes with internal user manuals as results of T2.1-T2.4.
Applications - alpha versionThe first versions of the applications using the software prototypes strategies methodologies and concepts from WP2 WP4 and the feedback for their improvement internal user manuals
Run-time support for programming extreme data applicationRuntime system prototype with detailed user manual
Framework for programming extreme data applicationCollection of software prototypes with detailed user manuals as results of T21T23
Low-overhead software instrumentation and monitoringDescription of the explored instrumentation and monitoring methodologies and tools.
Report that presents the evaluation of the advance of the stateoftheart by using the WP2 concepts and tools for Exascale systems
Publications
Auteurs:
Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio
Publié dans:
Future Internet, Numéro 13/5, 2021, Page(s) 121, ISSN 1999-5903
Éditeur:
MDPI
DOI:
10.3390/fi13050121
Auteurs:
Magdalena Martínez-García, María Paternina-Die, Erika Barba-Müller, Daniel Martín de Blas, Laura Beumala, Romina Cortizo, Cristina Pozzobon, Luis Marcos-Vidal, Alberto Fernández-Pena, Marisol Picado, Elena Belmonte-Padilla, Anna Massó-Rodriguez, Agustin Ballesteros, Manuel Desco, Óscar Vilarroya, Elseline Hoekzema, Susanna Carmona
Publié dans:
Brain Sciences, Numéro 11/2, 2021, Page(s) 168, ISSN 2076-3425
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/brainsci11020168
Auteurs:
María Paternina-Die, Magdalena Martínez-García, Clara Pretus, Elseline Hoekzema, Erika Barba-Müller, Daniel Martín de Blas, Cristina Pozzobon, Agustín Ballesteros, Óscar Vilarroya, Manuel Desco, Susanna Carmona
Publié dans:
Cerebral Cortex Communications, Numéro 1/1, 2020, ISSN 2632-7376
Éditeur:
Cerebral Cortex Communications
DOI:
10.1093/texcom/tgaa082
Auteurs:
Francisco J. Navas-Sánchez, Alberto Fernández-Pena, Daniel Martín de Blas, Yasser Alemán-Gómez, Luís Marcos-Vidal, Juan A. Guzmán-de-Villoria, Pilar Fernández-García, Julia Romero, Irene Catalina, Laura Lillo, José L. Muñoz-Blanco, Andrés Ordoñez-Ugalde, Beatriz Quintáns, Julio Pardo, María-Jesús Sobrido, Susanna Carmona, Francisco Grandas, Manuel Desco
Publié dans:
Journal of Neurology, Numéro 268/7, 2021, Page(s) 2429-2440, ISSN 0340-5354
Éditeur:
Dr. Dietrich Steinkopff Verlag
DOI:
10.1007/s00415-020-10387-4
Auteurs:
Estefania Serrano, Javier Garcia-Blas, Jesus Carretero, Manuel Desco, Monica Abella
Publié dans:
Future Generation Computer Systems, Numéro 106, 2020, Page(s) 534-544, ISSN 0167-739X
Éditeur:
Elsevier BV
DOI:
10.1016/j.future.2019.12.042
Auteurs:
Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio, Francesco Branda, Themis Palpanas, Muhammad Imran
Publié dans:
Journal of Big Data, Numéro 8/1, 2021, ISSN 2196-1115
Éditeur:
Springer
DOI:
10.1186/s40537-021-00467-1
Auteurs:
Salvatore Giampa, Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio
Publié dans:
IEEE Access, Numéro 9, 2021, Page(s) 47354-47364, ISSN 2169-3536
Éditeur:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/access.2021.3067815
Auteurs:
Javier López-Gómez, David del Rio Astorga, Manuel F. Dolz, Javier Fernández, J. Daniel García
Publié dans:
The Journal of Supercomputing, 2019, ISSN 0920-8542
Éditeur:
Kluwer Academic Publishers
DOI:
10.1007/s11227-019-02827-4
Auteurs:
Ioan Drăgan, Gabriel Iuhasz, Dana Petcu
Publié dans:
Journal of Grid Computing, Numéro 17/3, 2019, Page(s) 503-528, ISSN 1570-7873
Éditeur:
Kluwer Academic Publishers
DOI:
10.1007/s10723-019-09483-1
Auteurs:
Javier López-Gómez, Javier Fernández Muñoz, David del Rio Astorga, Manuel F. Dolz, J. Daniel Garcia
Publié dans:
Parallel Computing, Numéro 84, 2019, Page(s) 24-36, ISSN 0167-8191
Éditeur:
Elsevier BV
DOI:
10.1016/j.parco.2019.03.004
Auteurs:
Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio
Publié dans:
Social Network Analysis and Mining, Numéro 9/1, 2019, ISSN 1869-5450
Éditeur:
Springer
DOI:
10.1007/s13278-018-0547-5
Auteurs:
Alberto Cascajo, David E. Singh, Jesus Carretero
Publié dans:
Electronics, Numéro 8/9, 2019, Page(s) 982, ISSN 2079-9292
Éditeur:
MDPI
DOI:
10.3390/electronics8090982
Auteurs:
Domenico Talia
Publié dans:
Journal of Cloud Computing, Numéro 8/1, 2019, ISSN 2192-113X
Éditeur:
Springer Science + Business Media
DOI:
10.1186/s13677-019-0127-x
Auteurs:
Vincenzo De Maio, Dragi Kimovski
Publié dans:
Future Generation Computer Systems, Numéro 106, 2020, Page(s) 171-184, ISSN 0167-739X
Éditeur:
Elsevier BV
DOI:
10.1016/j.future.2019.12.054
Auteurs:
Roland Matha, Sasko Ristov, Thomas Fahringer, Radu Prodan
Publié dans:
IEEE Transactions on Parallel and Distributed Systems, 2020, Page(s) 1-1, ISSN 1045-9219
Éditeur:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tpds.2020.2967662
Auteurs:
Hugo G. Reyes-Anastacio, J.L Gonzalez-Compean, Victor J. Sosa-Sosa, Jesus Carretero, Javier Garcia-Blas
Publié dans:
Journal of Systems and Software, Numéro 168, 2020, Page(s) 110665, ISSN 0164-1212
Éditeur:
Elsevier BV
DOI:
10.1016/j.jss.2020.110665
Auteurs:
Javier Garcia-Blas, David del Rio Astorga, Jesus Carretero, J. Daniel Garcia
Publié dans:
Future Generation Computer Systems, Numéro 112, 2020, Page(s) 467-477, ISSN 0167-739X
Éditeur:
Elsevier BV
DOI:
10.1016/j.future.2020.05.039
Auteurs:
Jose Rivadeneira, Felix Garcia-Carballeira, Jesus Carretero, Javier Garcia-Blas
Publié dans:
2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC), 2020, Page(s) 243-250, ISBN 978-1-6654-2292-5
Éditeur:
IEEE
DOI:
10.1109/hipc50609.2020.00038
Auteurs:
Gabriel Iuhasz, Dana Petcu
Publié dans:
2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), 2019, Page(s) 225-229, ISBN 978-1-7281-0006-7
Éditeur:
IEEE
DOI:
10.1109/bigdatasecurity-hpsc-ids.2019.00051
Auteurs:
Vladislav Kashansky, Dragi Kimovski, Radu Prodan, Prateek Agrawal, Fabrizio Marozzo, Gabriel Iuhasz, Marek Marozzo, Javier Garcia-Blas
Publié dans:
2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2020, Page(s) 72-79, ISBN 978-1-7281-6582-0
Éditeur:
IEEE
DOI:
10.1109/pdp50117.2020.00018
Auteurs:
Domenico Talia, Paolo Trunfio, Fabrizio Marozzo, Loris Belcastro, Javier Garcia-Blas, David del Rio, Philippe Couvee, Gael Goret, Lionel Vincent, Alberto Fernandez-Pena, Daniel Martin de Blas, Mirko Nardi, Teresa Pizzuti, Adrian Spataru and Marek Justyna
Publié dans:
EuroPAR 2019, Numéro 1, 2019
Éditeur:
Springer
Auteurs:
Javier Garcia-Blas, David del Rio Astorga, J. Daniel Garcia, Jesus Carretero
Publié dans:
2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2019, Page(s) 631-637, ISBN 978-1-7281-0912-1
Éditeur:
IEEE
DOI:
10.1109/ccgrid.2019.00081
Auteurs:
Gabriel Iuhasz, Dana Petcu
Publié dans:
2019 IEEE International Conference on Advanced Scientific Computing (ICASC), 2019, Page(s) 1-5, ISBN 978-1-7281-4454-2
Éditeur:
IEEE
DOI:
10.1109/icasc48083.2019.8946279
Recherche de données OpenAIRE...
Une erreur s’est produite lors de la recherche de données OpenAIRE
Aucun résultat disponible