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On a stochastic approach to a code performance estimationстатья
Информация о цитировании статьи получена из
Web of Science,
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 24 октября 2016 г.
- Авторы: Gorshenin A., Frenkel S., Korolev V.
- Журнал: AIP Conference Proceedings
- Том: 1738
- Год издания: 2016
- Первая страница: 220010-1
- Последняя страница: 220010-4
- DOI: 10.1063/1.4952009
- Аннотация: The main goal of an efficient profiling of software is to minimize the runtime overhead under certain constraints and requirements. The traces built by a profiler during the work, affect the performance of the system itself. One of important aspect of an overhead arises from the randomness of variability in the context in which the application is embedded, e.g., due to possible cache misses, etc. Such uncertainty needs to be taken into account in the design phase. In order to overcome these difficulties we propose to investigate this issue through the analysis of the probability distribution of the difference between profiler's times for the same code. The approximating model is based on the finite normal mixtures within the framework of the method of moving separation of mixtures. We demonstrate some results for the MATLAB profiler using plotting of 3D surfaces by the function surf. The idea can be used for an estimating of a program efficiency.
- Добавил в систему: Горшенин Андрей Константинович