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An Adaptive Cost Model for Parallel Program Instrumentation (1994)  (Make Corrections)  (2 citations)
Jeffrey K. Hollingsworth Barton P. Miller Computer Science Department...



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Abstract: Software based instrumentation is frequently used to measure the performance of parallel and distributed programs. However, using software instrumentation can introduce serious perturbation of the program being measured. In this paper we present a new data collection cost system that provides programmers with feedback about the impact data collection is having on their application. In addition, we introduce a technique that permits programmers to define the perturbation their application can... (Update)

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...for delays introduced by monitoring. Other approaches to minimizing or accounting for perturbation can be found in [MRW92, WAG 92, HM94] These four attributes have driven the program tracing techniques that we have developed for the PVM distributed computing environment....

...in Section 3.D.3. It is possible that adding timing statements to a code in order to benchmark sections of it may perturb the code [MRW92, HM96] If a large perturbation is indicated, the input parameter for this value should be tagged with meta data indicating the possible...

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BibTeX entry:   (Update)

Jeffrey K. Hollingsworth and Barton P. Miller. An adaptive cost model for parallel program instrumentation. Technical Report CS-TR-94-1258, Univ. of Wisconsin, Madison, WI, 1994. http://citeseer.ist.psu.edu/37738.html   More

@techreport{ hollingsworth94adaptive,
    author = "Jeffrey K. Hollingsworth and Barton P. Miller",
    title = "An Adaptive Cost Model for Parallel Program Instrumentation",
    number = "CS-TR-1994-1258",
    year = "1994",
    url = "citeseer.ist.psu.edu/37738.html" }
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