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Title: Optimization of the coherence function estimation for multi-core central processing unit
Authors: Cheremnov, A. G.
Faerman, Vladimir Andreevich
Avramchuk, Valery Stepanovich
Keywords: оптимизация; многоядерные процессоры; когерентность; компиляторы; программное обеспечение; диагностика; трубопроводы; акустические методы
Issue Date: 2017
Publisher: IOP Publishing
Citation: Cheremnov A. G. Optimization of the coherence function estimation for multi-core central processing unit / A. G. Cheremnov, V. A. Faerman, V. S. Avramchuk // IOP Conference Series: Materials Science and Engineering. — 2017. — Vol. 177 : Mechanical Engineering, Automation and Control Systems (MEACS 2016) : International Conference, October 27–29, 2016, Tomsk, Russia : [proceedings]. — [012020, 6 p.].
Abstract: The paper considers use of parallel processing on multi-core central processing unit for optimization of the coherence function evaluation arising in digital signal processing. Coherence function along with other methods of spectral analysis is commonly used for vibration diagnosis of rotating machinery and its particular nodes. An algorithm is given for the function evaluation for signals represented with digital samples. The algorithm is analyzed for its software implementation and computational problems. Optimization measures are described, including algorithmic, architecture and compiler optimization, their results are assessed for multi-core processors from different manufacturers. Thus, speeding-up of the parallel execution with respect to sequential execution was studied and results are presented for Intel Core i7-4720HQ и AMD FX-9590 processors. The results show comparatively high efficiency of the optimization measures taken. In particular, acceleration indicators and average CPU utilization have been significantly improved, showing high degree of parallelism of the constructed calculating functions. The developed software underwent state registration and will be used as a part of a software and hardware solution for rotating machinery fault diagnosis and pipeline leak location with acoustic correlation method.
Appears in Collections:Материалы конференций

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