Scheduling distributed I/O resources in HPC systems - INRIA Bordeaux - Sud-Ouest Accéder directement au contenu
Communication Dans Un Congrès Année : 2024

Scheduling distributed I/O resources in HPC systems

Résumé

This paper presents a comprehensive investigation on optimizing I/O performance in the access to distributed I/O resources in high-performance computing (HPC) environments. I/O resources, such as the I/O forwarding nodes and object storage targets (OST), are shared between a subset of applications. Each application has access to a subset of them and multiple applications can access the same resources. We propose heuristics to schedule these distributed I/O resources in two steps: for a set of applications, determining the number of I/O resources each will use (allocation) and which resources they will use (placement). We discuss a wide range of required information about applications' characteristics that can be used by the scheduling algorithms. Despite the fact that a higher level of application knowledge is associated with enhanced performance, our comprehensive analysis indicates that strategic decision-making with limited information can still yield significant enhancements in most scenarios. This research provides insights into the trade-offs between the depth of application characterization and the practicality of scheduling I/O resources.
Fichier principal
Vignette du fichier
main.pdf (1.1 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04394004 , version 1 (15-01-2024)
hal-04394004 , version 2 (05-06-2024)

Licence

Identifiants

  • HAL Id : hal-04394004 , version 2

Citer

Alexis Bandet, Francieli Boito, Guillaume Pallez. Scheduling distributed I/O resources in HPC systems. 30th International European Conference on Parallel and Distributed Computing 26 - 30 August 2024 Madrid, Spain 30th International European Conference on Parallel and Distributed Computing, Aug 2024, Madrid, Spain. ⟨hal-04394004v2⟩
423 Consultations
142 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More