Skip to Main content Skip to Navigation
New interface
Conference papers

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.
Complete list of metadata

Cited literature [48 references]  Display  Hide  Download
Contributor : Frédéric Vivien Connect in order to contact the contributor
Submitted on : Monday, October 18, 2010 - 9:02:57 AM
Last modification on : Friday, November 18, 2022 - 9:27:39 AM
Long-term archiving on: : Wednesday, January 19, 2011 - 2:37:52 AM


Publisher files allowed on an open archive



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⟩



Record views


Files downloads