• DocumentCode
    2218112
  • Title

    High-speed network modeling for full system simulation

  • Author

    Lugones, D. ; Franco, D. ; Rexachs, D. ; Moure, J.C. ; Luque, E. ; Argollo, E. ; Falcón, A. ; Ortega, D. ; Faraboschi, P.

  • Author_Institution
    Dept. of Comput. Archit. & Oper. Syst., Univ. Autonoma of Barcelona, Barcelona, Spain
  • fYear
    2009
  • fDate
    4-6 Oct. 2009
  • Firstpage
    24
  • Lastpage
    33
  • Abstract
    The widespread adoption of cluster computing systems has shifted the modeling focus from synthetic traffic to realistic workloads to better capture the complex interactions between applications and architecture. In this context, a full-system simulation environment also needs to model the networking component, but the simulation duration that is practically affordable is too short to appropriately stress the networking bottlenecks. In this paper, we present a methodology that overcomes this problem and enables the modeling of interconnection networks while ensuring representative results with fast simulation turnaround. We use standard network tools to extract simplified models that are statistically validated and at the same time compatible with a full system simulation environment. We propose three models with different accuracy vs. speed ratios that compute network latency times according to the estimated traffic and measure them on a real-world parallel scientific application.
  • Keywords
    workstation clusters; cluster computing systems; full system simulation; high-speed network modeling; interconnection networks; network latency times; parallel scientific application; synthetic traffic; Computational modeling; Computer architecture; Computer networks; Concurrent computing; Context modeling; High-speed networks; Multiprocessor interconnection networks; Stress; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Workload Characterization, 2009. IISWC 2009. IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-5156-2
  • Electronic_ISBN
    978-1-4244-5157-2
  • Type

    conf

  • DOI
    10.1109/IISWC.2009.5306799
  • Filename
    5306799