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.
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Communication dans un congrès
IEEE International Symposium on Parallel & Distributed Processing (IPDPS), 2010, Apr 2010, Atlanta, GA, United States. IEEE, pp.1-12, 2010, 〈10.1109/IPDPS.2010.5470356〉
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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. IEEE, pp.1-12, 2010, 〈10.1109/IPDPS.2010.5470356〉. 〈inria-00527068〉

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