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KRASH: reproducible CPU load generation on many cores machines

Published: 09 January 2010 Publication History

Abstract

In this article we present KRASH, a tool for reproducible generation of system-level CPU load. This tool is intended for use in shared memory machines equipped with multiple CPU cores which are usually exploited concurrently by several users. The objective of KRASH is to enable parallel application developers to validate their resources use strategies on a partially loaded machine by replaying an observed load in concurrence with their application. To reach this objective, we present a method for CPU load generation which behaves as realistically as possible: the resulting load is similar to the load that would be produced by concurrent processes run by other users. Nevertheless, contrary to a simple run of a CPU-intensive application, KRASH is not sensitive to system scheduling decisions. The main benefit brought by KRASH is this reproducibility: no matter how many processes are present in the system the load generated by our tool strictly respects a given load profile. To our knowledge, KRASH is the only tool that implements the generation of a dynamic load profile (a load varying with time). When used to generate a constant load, KRASH result is among the most realistic ones. Furthermore, KRASH provides more flexibility than other tools.

References

[1]
J.C. Canon and E. Jeannot. Wrekavoc: a tool for emulating heterogeneity. In 15th IEEE Heterogeneous Computing Workshop (HCW 06), 2006.
[2]
Jens Gustedt Olivier Dubuisson and Emmanuel Jeannot. Validating Wrekavoc: a tool for heterogeneity emulation. In 18th IEEE Heterogeneous Computing Workshop (HCW 09), 2009.
[3]
Ravi Iyer Srihari Makineni. Measurement-based analysis of tcp/ip processing requirements. In In 10th International Conference on High Performance Computing (HiPC 2003), 2003.

Cited By

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  • (2017)Reprint of Robust partial-load experiments with ShowstopperFuture Generation Computer Systems10.1016/j.future.2016.11.01372:C(81-104)Online publication date: 1-Jul-2017
  • (2014)ShowstopperProceedings of the 2014 IEEE 22nd International Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems10.1109/MASCOTS.2014.75(510-513)Online publication date: 9-Sep-2014
  • (2011)Methods for Emulation of Multi-core CPU PerformanceProceedings of the 2011 IEEE International Conference on High Performance Computing and Communications10.1109/HPCC.2011.45(288-295)Online publication date: 2-Sep-2011
  • Show More Cited By

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    Published In

    cover image ACM Conferences
    PPoPP '10: Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
    January 2010
    372 pages
    ISBN:9781605588773
    DOI:10.1145/1693453
    • cover image ACM SIGPLAN Notices
      ACM SIGPLAN Notices  Volume 45, Issue 5
      PPoPP '10
      May 2010
      346 pages
      ISSN:0362-1340
      EISSN:1558-1160
      DOI:10.1145/1837853
      Issue’s Table of Contents

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 09 January 2010

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    Author Tags

    1. cpu load generation
    2. experimentation testbed
    3. many cores

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    View all
    • (2017)Reprint of Robust partial-load experiments with ShowstopperFuture Generation Computer Systems10.1016/j.future.2016.11.01372:C(81-104)Online publication date: 1-Jul-2017
    • (2014)ShowstopperProceedings of the 2014 IEEE 22nd International Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems10.1109/MASCOTS.2014.75(510-513)Online publication date: 9-Sep-2014
    • (2011)Methods for Emulation of Multi-core CPU PerformanceProceedings of the 2011 IEEE International Conference on High Performance Computing and Communications10.1109/HPCC.2011.45(288-295)Online publication date: 2-Sep-2011
    • (2010)Accurate emulation of CPU performanceProceedings of the 2010 conference on Parallel processing10.5555/2031978.2031981(5-12)Online publication date: 31-Aug-2010

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