Abstract
The activities testing and tuning of the software lifecycle are concerned with analyzing program executions. Such analysis relies on state information that is generated by monitoring tools during program runs. Unfortunately the monitor overhead imposes intrusion onto the observed program. The resulting influences are manifested as different temporal behavior and possible reordering of nondeterministic events, which is called the probe effect. Consequently correct analysis data requires to keep the perturbation a minimum, which defines the need for monitors with small overhead. Measuring the actual overhead of monitors for MPI programs can be done with the benchmarking suite SKaMPI. It’s results serve as a main characteristic for the quality of the applied tool, and additionally increase the user’s awareness of the monitoring crisis. Besides that, the measurements of SKaMPI can be used in correction algorithms, that remove the monitoring overhead from perturbed traces.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
J. Cargille, B.P. Miller: Binary Wrapping: A Technique for Instrumenting Object Code. SIGPLAN Notices, Vol. 27, pp. 17–18 (June 1992).
J. Gait: A Probe Effect in Concurrent Programs. Software-Practise and Experience, Vol. 16(23), pp. 225–233 (March 1986).
D. Kranzlmüller, S. Grabner, J. Volkert: Monitoring Strategies for Hypercube Systems. Proc. PDP’96, 4th EUROMICRO Workshop on Parallel and Distr. Proc., Braga, Portugal, pp. 486–492 (Jan. 1996).
D. Kranzlmüller, S. Grabner, J. Volkert: Debugging with the MAD Environment. Parallel Computing, Vol. 23, No. 1–2, pp. 199–217 (Apr. 1997).
L. Lamport: Time, Clocks, and the Ordering of Events in a Distributed System. Comm. ACM, pp. 558–565 (July 1978).
E. Leu, A. Schiper, A. Zramdini: Execution Replay on Distributed Memory Architectures. Proc. 2nd IEEE Symp. on Parallel & Distributed Processing, Dallas, TX, pp. 106–112 (Dec. 1990).
A. Malony, D. Reed: Models for performance perturbation analysis. Proc. Workshop Parallel Distributed Debugging, ACM SIGPLAN/SIGOPS and Office of Naval Research, (May 1991).
Message Passing Interface Forum: MPI: A Message-Passing Interface Standard-Version 1.1. http://www.mcs.anl.gov/mpi/ (June 1995).
R. Reussner, P. Sanders, L. Prechelt, M. Müller: SKaMPI: A Detailed, Accurate MPI Benchmark. Proc. 5th European PVM/MPI Users’ Group Meeting, Springer, Lecture Notes in Computer Science, Vol. 1497, Liverpool, UK, pp. 52–59 (Sept. 1998).
M. Snir, S. Otto, S. Huss-Lederman, D. Walker, J. Dongarra: MPI-The Complete Reference. 2nd Edition, MIT Press, Cambridge, Massachusetts, (1998).
R. Wismüller: On-Line Monitoring Support in PVM and MPI. Proc. of EuroPVM/MPI’98, LNCS, Springer, Vol. 1497, Liverpool, UK, pp. 312–319, (Sept 1998).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kranzlmüller, D., Reussner, R., Schaubschläger, C. (1999). Monitor Overhead Measurement with SKaMPI. In: Dongarra, J., Luque, E., Margalef, T. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 1999. Lecture Notes in Computer Science, vol 1697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48158-3_6
Download citation
DOI: https://doi.org/10.1007/3-540-48158-3_6
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66549-6
Online ISBN: 978-3-540-48158-4
eBook Packages: Springer Book Archive