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KRASH: reproducible CPU load generation on many cores machines

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Published:09 January 2010Publication History
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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

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    • Published in

      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
      • 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

      Copyright © 2010 Copyright held by author(s).

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 9 January 2010

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