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Preliminary Evaluation of a Parallel Trace Replay Tool for HPC Network Simulations

  • Bilge Acun
  • Nikhil Jain
  • Abhinav Bhatele
  • Misbah Mubarak
  • Christopher D. Carothers
  • Laxmikant V. Kale
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9523)

Abstract

This paper presents a preliminary evaluation of TraceR, a trace replay tool built upon the ROSS-based CODES simulation framework. TraceR can be used for predicting network performance and understanding network behavior by simulating messaging on interconnection networks. It addresses two major shortcomings in current network simulators. First, it enables fast and scalable simulations of large-scale supercomputer networks. Second, it can simulate production HPC applications using BigSim’s emulation framework. In addition to introducing TraceR, this paper studies the impact of input parameters on simulation performance. We also compare TraceR with other network simulators such as SST and BigSim, and demonstrate TraceR ’s scalability using various case studies.

Keywords

Execution Time Batch Size Optimistic Mode Kernel Process Global Synchronization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. This work was funded by the LDRD Program at LLNL under project tracking code 13-ERD-055 (LLNL-CONF-667225).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Bilge Acun
    • 1
  • Nikhil Jain
    • 1
  • Abhinav Bhatele
    • 2
  • Misbah Mubarak
    • 3
  • Christopher D. Carothers
    • 4
  • Laxmikant V. Kale
    • 1
  1. 1.Department of Computer ScienceUniversity of Illinois at Urbana-ChampaignUrbanaUSA
  2. 2.Center for Applied Scientific ComputingLawrence Livermore National LaboratoryLivermoreUSA
  3. 3.Mathematics and Computer Science DivisionArgonne National LaboratoryArgonneUSA
  4. 4.Department of Computer ScienceRensselaer Polytechnic InstituteTroyUSA

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