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 I 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.
| Original language | English |
|---|---|
| Article number | 012020 |
| Journal | IOP Conference Series: Materials Science and Engineering |
| Volume | 177 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Mar 2017 |
| Event | 10th International Conference on Mechanical Engineering, Automation and Control Systems 2016, MEACS 2016 - Tomsk, Russian Federation Duration: 27 Oct 2016 → 29 Oct 2016 |
Fingerprint
ASJC Scopus subject areas
- Materials Science(all)
- Engineering(all)
Cite this
Optimization of the coherence function estimation for multi-core central processing unit. / Cheremnov, Alexander G.; Faerman, V. A.; Avramchuk, V. S.
In: IOP Conference Series: Materials Science and Engineering, Vol. 177, No. 1, 012020, 01.03.2017.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Optimization of the coherence function estimation for multi-core central processing unit
AU - Cheremnov, Alexander G.
AU - Faerman, V. A.
AU - Avramchuk, V. S.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - 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 I 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.
AB - 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 I 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.
UR - http://www.scopus.com/inward/record.url?scp=85016185442&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85016185442&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/177/1/012020
DO - 10.1088/1757-899X/177/1/012020
M3 - Article
VL - 177
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
SN - 1757-8981
IS - 1
M1 - 012020
ER -