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Conference Papers Year : 2023

Adaptive multi-tier intelligent data manager for Exascale

Jean Baptiste Besnard
Jean-Thomas Acquaviva
Morris Riedel

Abstract

The main objective of the ADMIRE project 1 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 qualityof-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
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Dates and versions

hal-04231494 , version 1 (06-10-2023)

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Jesus Carretero, Javier Garcia-Blas, Marco Aldinucci, Jean Baptiste Besnard, Jean-Thomas Acquaviva, et al.. Adaptive multi-tier intelligent data manager for Exascale. CF 2023 - 20th ACM International Conference on Computing Frontiers, May 2023, Bologna, Italy. pp.285-290, ⟨10.1145/3587135.3592174⟩. ⟨hal-04231494⟩

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