EVOLVE: Towards Converging Big-Data, High-Performance and Cloud-Computing Worlds

Achilleas Tzenetopoulos; Dimosthenis Masouros; Konstantina Koliogeorgi; Sotirios Xydis; Dimitrios Soudris; Antony Chazapis; Christos Kozanitis; Angelos Bilas; Christian Pinto; Huy Nam Nguyen; Stelios Louloudakis; Georgios Gardikis; George Vamvakas; Michelle Aubrun; Christy Symeonidou; Vassilis Spitadakis; Konstantinos Xylogiannopoulos; Bernhard Peischl; Tahir Emre Kalayci; Alexander Stocker; Jean Thomas Acquaviva

doi:10.23919/DATE54114.2022.9774698

EVOLVE: Towards Converging Big-Data, High-Performance and Cloud-Computing Worlds

Achilleas Tzenetopoulos, Dimosthenis Masouros, Konstantina Koliogeorgi, Sotirios Xydis, Dimitrios Soudris, Antony Chazapis, Christos Kozanitis, Angelos Bilas, Christian Pinto, Huy Nam Nguyen, Stelios Louloudakis, Georgios Gardikis, George Vamvakas, Michelle Aubrun, Christy Symeonidou, Vassilis Spitadakis, Konstantinos Xylogiannopoulos, Bernhard Peischl, Tahir Emre Kalayci, Alexander StockerJean Thomas Acquaviva

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

EVOLVE is a pan European Innovation Action that aims to fully-integrate High-Performance-Computing (HPC) hardware with state-of-the-art software technologies under a unique testbed, that enables the convergence of HPC, Cloud and Big-Data worlds and increases our ability to extract value from massive and demanding datasets. EVOLVE's advanced compute platform combines HPC-enabled capabilities, with transparent deployment in high abstraction level, and a versatile Big-Data processing stack for end-to-end workflows. Hence, domain experts have the potential to improve substantially the efficiency of existing services or introduce new models in the respective domains, e.g., automotive services, bus transportation, maritime surveillance and others. In this paper, we describe EVOLVE's testbed, and evaluate the performance of the integrated pilots from different domains.

Originalsprache	englisch
Titel	Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022
Redakteure/-innen	Cristiana Bolchini, Ingrid Verbauwhede, Ioana Vatajelu
Herausgeber (Verlag)	IEEE
Seiten	975-980
Seitenumfang	6
ISBN (elektronisch)	9783981926361
DOIs	https://doi.org/10.23919/DATE54114.2022.9774698
Publikationsstatus	Veröffentlicht - 2022
Veranstaltung	2022 Design, Automation and Test in Europe Conference and Exhibition: DATE 2022 - Virtual, Online, Belgien Dauer: 14 März 2022 → 23 März 2022

Konferenz

Konferenz	2022 Design, Automation and Test in Europe Conference and Exhibition
Kurztitel	DATE 2022
Land/Gebiet	Belgien
Ort	Virtual, Online
Zeitraum	14/03/22 → 23/03/22

ASJC Scopus subject areas

Artificial intelligence
Computernetzwerke und -kommunikation
Hardware und Architektur
Software
Sicherheit, Risiko, Zuverlässigkeit und Qualität
Steuerung und Optimierung

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10.23919/DATE54114.2022.9774698

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Tzenetopoulos, A., Masouros, D., Koliogeorgi, K., Xydis, S., Soudris, D., Chazapis, A., Kozanitis, C., Bilas, A., Pinto, C., Nguyen, H. N., Louloudakis, S., Gardikis, G., Vamvakas, G., Aubrun, M., Symeonidou, C., Spitadakis, V., Xylogiannopoulos, K., Peischl, B., Kalayci, T. E., ... Acquaviva, J. T. (2022). EVOLVE: Towards Converging Big-Data, High-Performance and Cloud-Computing Worlds. in C. Bolchini, I. Verbauwhede, & I. Vatajelu (Hrsg.), Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022 (S. 975-980). IEEE. https://doi.org/10.23919/DATE54114.2022.9774698

EVOLVE: Towards Converging Big-Data, High-Performance and Cloud-Computing Worlds. / Tzenetopoulos, Achilleas; Masouros, Dimosthenis; Koliogeorgi, Konstantina et al.
Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022. Hrsg. / Cristiana Bolchini; Ingrid Verbauwhede; Ioana Vatajelu. IEEE, 2022. S. 975-980.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Tzenetopoulos, A, Masouros, D, Koliogeorgi, K, Xydis, S, Soudris, D, Chazapis, A, Kozanitis, C, Bilas, A, Pinto, C, Nguyen, HN, Louloudakis, S, Gardikis, G, Vamvakas, G, Aubrun, M, Symeonidou, C, Spitadakis, V, Xylogiannopoulos, K, Peischl, B, Kalayci, TE, Stocker, A & Acquaviva, JT 2022, EVOLVE: Towards Converging Big-Data, High-Performance and Cloud-Computing Worlds. in C Bolchini, I Verbauwhede & I Vatajelu (Hrsg.), Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022. IEEE, S. 975-980, 2022 Design, Automation and Test in Europe Conference and Exhibition, Virtual, Online, Belgien, 14/03/22. https://doi.org/10.23919/DATE54114.2022.9774698

Tzenetopoulos A, Masouros D, Koliogeorgi K, Xydis S, Soudris D, Chazapis A et al. EVOLVE: Towards Converging Big-Data, High-Performance and Cloud-Computing Worlds. in Bolchini C, Verbauwhede I, Vatajelu I, Hrsg., Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022. IEEE. 2022. S. 975-980 doi: 10.23919/DATE54114.2022.9774698

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abstract = "EVOLVE is a pan European Innovation Action that aims to fully-integrate High-Performance-Computing (HPC) hardware with state-of-the-art software technologies under a unique testbed, that enables the convergence of HPC, Cloud and Big-Data worlds and increases our ability to extract value from massive and demanding datasets. EVOLVE's advanced compute platform combines HPC-enabled capabilities, with transparent deployment in high abstraction level, and a versatile Big-Data processing stack for end-to-end workflows. Hence, domain experts have the potential to improve substantially the efficiency of existing services or introduce new models in the respective domains, e.g., automotive services, bus transportation, maritime surveillance and others. In this paper, we describe EVOLVE's testbed, and evaluate the performance of the integrated pilots from different domains.",

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EVOLVE: Towards Converging Big-Data, High-Performance and Cloud-Computing Worlds

Abstract

Konferenz

ASJC Scopus subject areas

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