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Adaptive Multi-Tier Intelligent Data Manager for Exascale

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
Conference or Workshop Item, Bibliographie

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.

Item Type: Conference or Workshop Item
Erschienen: 2023
Creators: 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
Type of entry: Bibliographie
Title: Adaptive Multi-Tier Intelligent Data Manager for Exascale
Language: English
Date: 4 August 2023
Publisher: ACM
Book Title: CF '23: Proceedings of the 20th ACM International Conference on Computing Frontiers
Event Title: 20th ACM International Conference on Computing Frontiers
Event Location: Bologna, Italien
Event Dates: 09.-11.05.2023
DOI: 10.1145/3587135.3592174
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.

Uncontrolled Keywords: EU/BMBF|ADMIRE, EU, BMBF
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Parallel Programming
Date Deposited: 04 Apr 2024 09:44
Last Modified: 04 Apr 2024 09:44
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