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Abstract: . This paper describes a method for the detection of phases in time--series data. The specific application considered is time--series data which describes an execution profile of a parallel program. The algorithm is described and examples are presented. This paper presents the problem in the broader sense of general off--line time--series analysis. In analyzing time--series data, off--line algorithms enjoy the luxury of more computationally intensive approaches than possible with on--line... (Update)
Context of citations to this paper: More
.... phase is a contiguous subseuqence of an execution profile which constitutes an abrupt change in processor activity [Carlson92; Carlson94] Three special types of stationary phases are of interest. They are: 1) a single processor is utilized; 2) all processors are...
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BibTeX entry: (Update)
Carlson, B. M. and Wagner, T. D., "An algorithm for off-line detection of phases in execution profiles," in: Haring, G. and Kotsis, G. (eds.), Computer Performance Evaluation Modeling Techniques and Tools (Proceedings of the 7 th International Conference, Vienna, Austria), pp. 253-265, Springer-Verlag, May 1994. http://citeseer.ist.psu.edu/carlson94algorithm.html More
@misc{ carlson94algorithm,
author = "B. Carlson and T. Wagner",
title = "An algorithm for off-line detection of phases in execution profiles",
text = "Carlson, B. M. and Wagner, T. D., An algorithm for off-line detection of
phases in execution profiles, in: Haring, G. and Kotsis, G. (eds.), Computer
Performance Evaluation Modeling Techniques and Tools (Proceedings of the
7 th International Conference, Vienna, Austria), pp. 253-265, Springer-Verlag,
May 1994.",
year = "1994",
url = "citeseer.ist.psu.edu/carlson94algorithm.html" }
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