Optimization of the coherence function estimation for multi-core central processing unit; IOP Conference Series: Materials Science and Engineering; Vol. 177 : Mechanical Engineering, Automation and Control Systems (MEACS 2016)
| Parent link: | IOP Conference Series: Materials Science and Engineering Vol. 177 : Mechanical Engineering, Automation and Control Systems (MEACS 2016).— 2017.— [012020, 6 p.] |
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| Zusammenfassung: | Title screen 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. |
| Sprache: | Englisch |
| Veröffentlicht: |
2017
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| Schriftenreihe: | Information technologies in Mechanical Engineering |
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| Online-Zugang: | http://dx.doi.org/10.1088/1757-899X/177/1/012020 http://earchive.tpu.ru/handle/11683/37880 |
| Format: | Elektronisch Buchkapitel |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654019 |
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| 200 | 1 | |a Optimization of the coherence function estimation for multi-core central processing unit |f A. G. Cheremnov, V. A. Faerman, V. S. Avramchuk | |
| 203 | |a Text |c electronic | ||
| 225 | 1 | |a Information technologies in Mechanical Engineering | |
| 300 | |a Title screen | ||
| 320 | |a [References: 11 tit.] | ||
| 330 | |a 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. | ||
| 461 | 0 | |0 (RuTPU)RU\TPU\network\2008 |t IOP Conference Series: Materials Science and Engineering | |
| 463 | 0 | |0 (RuTPU)RU\TPU\network\19514 |t Vol. 177 : Mechanical Engineering, Automation and Control Systems (MEACS 2016) |o International Conference, October 27–29, 2016, Tomsk, Russia |o [proceedings] |f National Research Tomsk Polytechnic University (TPU) ; eds. A. P. Zykova ; N. V. Martyushev |v [012020, 6 p.] |d 2017 | |
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| 700 | 1 | |a Cheremnov |b A. G. | |
| 701 | 1 | |a Faerman |b V. A. |c specialist in the field of informatics and computer technology |c Engineer of Tomsk Polytechnic University |f 1990- |g Vladimir Andreevich |3 (RuTPU)RU\TPU\pers\32970 | |
| 701 | 1 | |a Avramchuk |b V. S. |c Specialist in the field of Automation and Computer Technology |c Associate Professor of Tomsk Polytechnic University, Candidate of Technical Sciences |f 1978- |g Valery Stepanovich |3 (RuTPU)RU\TPU\pers\29386 | |
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