Experiences with the SEMPA resource manager for real world scientific computing in networks of workstations

  • Authors:
  • Ursula Maier;Peter Luksch;Arndt Bode

  • Affiliations:
  • Technische Universität München, Institut für Informatik, Lehrstuhl füt Rechnertechnik und Rechnerorganisation (LRR-TUM), 80290 München, Germany;Technische Universität München, Institut für Informatik, Lehrstuhl füt Rechnertechnik und Rechnerorganisation (LRR-TUM), 80290 München, Germany;Technische Universität München, Institut für Informatik, Lehrstuhl füt Rechnertechnik und Rechnerorganisation (LRR-TUM), 80290 München, Germany

  • Venue:
  • Cluster computing
  • Year:
  • 2001

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Abstract

The Sempa Resource Manager is a resource management system for parallel applications in a network of workstations that enables the utilization of idle resources for parallel computing and shortens the execution time of parallel applications by dynamic load balancing at runtime. The network of workstations runs in a non-dedicated mode, where the Sempa Resource Manager assigns hosts that are not required by interactive users to its batch jobs. The flexible structure of the Sempa Resource Manager guarantees scalability and results in functions for transparent process migration and dynamic reconfiguration of the parallel execution environment. We present performance measurements with an industrial computational fluid dynamics program proving the efficiency of the Sempa Resource Manager.