Performance analysis of a parallel application in the GRID

  • Authors:
  • Holger Brunst;Edgar Gabriel;Marc Lange;Matthias S. Müller;Wolfgang E. Nagel;Michael M. Resch

  • Affiliations:
  • ZHR, Dresden University of Technology, Dresden, Germany;High Performance Computing Center Stuttgart, Stuttgart, Germany and Innovative Computing Laboratories, Computer Science Department, University of Tennessee, Knoxville, TN;High Performance Computing Center Stuttgart, Stuttgart, Germany;High Performance Computing Center Stuttgart, Stuttgart, Germany;ZHR, Dresden University of Technology, Dresden, Germany;High Performance Computing Center Stuttgart, Stuttgart, Germany

  • Venue:
  • ICCS'03 Proceedings of the 2003 international conference on Computational science: PartII
  • Year:
  • 2003

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Abstract

Performance analysis of real applications in clusters and GRID like environments is essential to fully exploit the performance of new architectures. The key problem is the deepening hierarchy of latencies and bandwidths and the growing heterogeneity of systems. This paper discusses the basic problems of performance analysis in such clustered and heterogeneous environments. It further presents a software environment that supports the user in running codes and getting more insight into the performance of the application. In order to give a proof of the concept a code for direct numerical simulation of reactive flows is run in a GRID like hardware environment, and the performance analysis is presented.