RT Conference Proceedings
T1 Adaptive multi-tier intelligent data manager for Exascale
A1 Carretero Pérez, Jesús
A1 García Blas, Francisco Javier
A1 Aldinucci, Marco
A1 Besnard, Jean Baptiste
A1 Acquaviva, Jean Thomas
A1 Brinkmann, Andre
A1 Vef, Marc Andre
A1 Jeannot, Emmanuel
A1 Miranda, Alberto
A1 Nou, Ramon
A1 Riedel, Morris
A1 Torquati, Massimo
A1 Wolf, Felix
AB 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.
PB ACM DL
SN 979-8-4007-0140-5
YR 2023
FD 2023-08-04
LK https://hdl.handle.net/10016/43950
UL https://hdl.handle.net/10016/43950
LA eng
NO EuroHPC project "Adaptivemulti-tier intelligent data manager for Exascale" under grant 956748—ADMIRE—H2020-JTI-EuroHPC-2019-1
NO Agencia Española de Investigación under GrantPCI2021-121966
DS e-Archivo
RD 17 jul. 2024