Dynamic Fractional Resource Scheduling for HPC Workloads - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2010

Dynamic Fractional Resource Scheduling for HPC Workloads

Abstract

We propose a novel job scheduling approach for homogeneous cluster computing platforms. Its key feature is the use of virtual machine technology for sharing resources in a precise and controlled manner. We justify our approach and propose several job scheduling algorithms. We present results obtained in simulations for synthetic and real-world High Performance Computing (HPC) workloads, in which we compare our proposed algorithms with standard batch scheduling algorithms. We find that our approach widely outperforms batch scheduling. We also identify a few promising algorithms that perform well across most experimental scenarios. Our results demonstrate that virtualization technology coupled with lightweight scheduling strategies affords dramatic improvements in performance for HPC workloads.
Fichier principal
Vignette du fichier
IPDPS2010-SVC.pdf (265.32 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

inria-00527068 , version 1 (18-10-2010)

Identifiers

Cite

Mark Stillwell, Frédéric Vivien, Henri Casanova. Dynamic Fractional Resource Scheduling for HPC Workloads. IEEE International Symposium on Parallel & Distributed Processing (IPDPS), 2010, Apr 2010, Atlanta, GA, United States. pp.1-12, ⟨10.1109/IPDPS.2010.5470356⟩. ⟨inria-00527068⟩
189 View
231 Download

Altmetric

Share

Gmail Facebook X LinkedIn More