Prediction of communication delay in torus networks under multiple time-scale correlated traffic

  • Authors:

  • Geyong Min;Mohamed Ould-Khaoua

  • Affiliations:

  • Department of Computing, School of Informatics, University of Bradford, Bradford BD7 1DP, UK;Department of Computing Science, University of Glasgow, Glasgow G12 8RZ, UK

  • Venue:
  • Performance Evaluation - Performance modelling and evaluation of high-performance parallel and distributed systems
  • Year:
  • 2005

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Abstract

The efficiency of a large-scale multicomputer is critically dependent on the performance of its interconnection network. Current multicomputers have widely employed the torus as their underlying network topology for efficient interprocessor communication. In order to ensure a successful exploitation of the computational power offered by multicomputers it is essential to obtain a clear understanding of the performance capabilities of their interconnection networks under various system configurations. Analytical modelling plays an important role in achieving this goal. This study proposes a concise performance model for computing communication delay in the torus network with circuit switching in the presence of multiple time-scale correlated traffic which is found in many real-world parallel computation environments and has strong impact on network performance. The tractability and reasonable accuracy of the analytical model demonstrated by extensive simulation experiments make it a practical and cost-effective evaluation tool to investigate network performance with various alternative design solutions and under different operating conditions.