Carretero, Jesus ; Garcia-Blas, Javier ; Aldinucci, Marco ; Besnard, Jean-Baptiste ; Acquaviva, Jean-Thomas ; Brinkmann, Andre ; Vef, Marc-Andre ; Jeannot, Emmanuel ; Miranda, Alberto ; Nou, Ramon ; Riedel, Morris ; Torquati, Massimo ; Wolf, Felix (2023)
Adaptive Multi-Tier Intelligent Data Manager for Exascale.
20th ACM International Conference on Computing Frontiers. Bologna, Italien (09.-11.05.2023)
doi: 10.1145/3587135.3592174
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
The main objective of the ADMIRE project1 is the creation of an active I/O stack that dynamically adjusts computation and storage requirements through intelligent global coordination, the elasticity of computation and I/O, and the scheduling of storage resources along all levels of the storage hierarchy, while offering quality-of-service (QoS), energy efficiency, and resilience for accessing extremely large data sets in very heterogeneous computing and storage environments. We have developed a framework prototype that is able to dynamically adjust computation and storage requirements through intelligent global coordination, separated control, and data paths, the malleability of computation and I/O, the scheduling of storage resources along all levels of the storage hierarchy, and scalable monitoring techniques. The leading idea in ADMIRE is to co-design applications with ad-hoc storage systems that can be deployed with the application and adapt their computing and I/O behaviour on runtime, using malleability techniques, to increase the performance of applications and the throughput of the applications.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Carretero, Jesus ; Garcia-Blas, Javier ; Aldinucci, Marco ; Besnard, Jean-Baptiste ; Acquaviva, Jean-Thomas ; Brinkmann, Andre ; Vef, Marc-Andre ; Jeannot, Emmanuel ; Miranda, Alberto ; Nou, Ramon ; Riedel, Morris ; Torquati, Massimo ; Wolf, Felix |
| Art des Eintrags: | Bibliographie |
| Titel: | Adaptive Multi-Tier Intelligent Data Manager for Exascale |
| Sprache: | Englisch |
| Publikationsjahr: | 4 August 2023 |
| Verlag: | ACM |
| Buchtitel: | CF '23: Proceedings of the 20th ACM International Conference on Computing Frontiers |
| Veranstaltungstitel: | 20th ACM International Conference on Computing Frontiers |
| Veranstaltungsort: | Bologna, Italien |
| Veranstaltungsdatum: | 09.-11.05.2023 |
| DOI: | 10.1145/3587135.3592174 |
| Kurzbeschreibung (Abstract): | The main objective of the ADMIRE project1 is the creation of an active I/O stack that dynamically adjusts computation and storage requirements through intelligent global coordination, the elasticity of computation and I/O, and the scheduling of storage resources along all levels of the storage hierarchy, while offering quality-of-service (QoS), energy efficiency, and resilience for accessing extremely large data sets in very heterogeneous computing and storage environments. We have developed a framework prototype that is able to dynamically adjust computation and storage requirements through intelligent global coordination, separated control, and data paths, the malleability of computation and I/O, the scheduling of storage resources along all levels of the storage hierarchy, and scalable monitoring techniques. The leading idea in ADMIRE is to co-design applications with ad-hoc storage systems that can be deployed with the application and adapt their computing and I/O behaviour on runtime, using malleability techniques, to increase the performance of applications and the throughput of the applications. |
| Freie Schlagworte: | EU/BMBF|ADMIRE, EU, BMBF |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Parallele Programmierung |
| Hinterlegungsdatum: | 04 Apr 2024 09:44 |
| Letzte Änderung: | 09 Jul 2024 06:47 |
| PPN: | 519666917 |
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