Franz Franchetti

Publications (2)0 Total impact

• Source

  Available from: Michael Geissler

  Article: On Using ZENTURIO for Performance and Parameter Studies on Cluster and Grid Architectures

  Radu Prodan, Thomas Fahringer, Michael Geissler, Georg Madsen, Franz Franchetti, Hans Moritsch
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  ABSTRACT: Over the last decade, a dramatic increase has been observed in the need for generating and organising data in the course of large parameter studies, performance analysis, and software testings. We have developed the ZENTURIO experiment management tool for performance and parameter studies on cluster and Grid architectures. In this paper we describe our experience with ZENTURIO for performance and parameter studies of a material science kernel, a three-dimensional particle-in-cell simulation, a fast fourier transform, and a financial modeling application. Experiments have been conducted on an SMP cluster with Fast Ethernet and Myrinet communication networks, using PBS (Portable Batch System) and GRAM (Globus Resource Allocation Manager) as job managers.
  16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008). 01/2003;
• Article: On Using ZENTURIO for Performance and Parameter Studies on Clusters and Grids Radu Prodan and Thomas Fahringer

  Radu Prodan, Thomas Fahringer, Franz Franchetti, Michael Geissler, Georg Madsen, Hans Moritsch
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  ABSTRACT: Over the last decade, a dramatic increase has been observed in the ability to generate and store data in the course of parameter studies, performance analysis, and software testing. We have developed the ZENTURIO experiment management system for performance and parameter studies, as well as for software testing on cluster and Grid architectures. ZENTURIO uses a novel directive-based language named ZEN to specify arbitrary application parameters and a broad range performance metrics. A large number of experiments are automatically generated based on the ZEN directives which annotate arbitrary application files. A graphical user portal enables the user to create, launch, and monitor the experiments. Moreover, a limited fault tolerance mechanism has been included to restart experiments in case of casual system, job scheduler, or application faults. Graphical tools are used to automatically display output and performance data across multiple experiments. In this paper we describe our experience with ZENTURIO for performance and parameter studies of a material science kernel, a 3-dim. particle-in-cell simulation, a fast fourier transform, and a financial modeling application. Experiments have been conducted on a SMP cluster architecture with different communication networks, using PBS (Portable Batch System) and GRAM (Globus Resource Allocation Manager) as job managers. This research is supported by the Austrian Science Fund as part of the Aurora project under contract SFBF1104.
  09/2002;