A GPU based simulation platform for adaptive frequency hopf oscillators

Author

Soleimani, Hossein ; Maleki, Mohammad Amin ; Ahmadi, Amin ; Bavandpour, M. ; Maharatna, K. ; Zwolinsk, M.

Author_Institution

Electr. Eng. Dept., Razi Univ., Kermanshah, Iran

fYear

2012

fDate

15-17 May 2012

Firstpage

884

Lastpage

888

Abstract

In this paper we demonstrate a dynamical system simulator that runs on a single GPU. The model (running on an NVIDIA GT325M with 1GB of memory) is up to 50 times faster than a CPU version when more than 10 million adaptive Hopf oscillators have been simulated. The simulation shows that the oscillators tune to the correct frequencies for both discrete and continuous spectra. Due to its dynamic nature the system is also capable to track non-stationary spectra. With the help of this model the frequency spectrum of an ECG signal (as a non-stationary signal) obtained and was showed that frequency domain representation of signal (i.e. FFT) is the same as one MATLAB generates.

Keywords

frequency-domain analysis; graphics processing units; variable-frequency oscillators; ECG signal; GPU; GPU based simulation platform; NVIDIA GT325M; adaptive frequency Hopf oscillators; continuous spectra; discrete spectra; dynamical system simulator; frequency spectrum; signal frequency domain representation; Biology; Convergence; Equations; Mathematical model; Oscillators; Adaptive Hopf Oscillator; Dynamic System; Graphic Processing Unit (GPU);

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering (ICEE), 2012 20th Iranian Conference on

Conference_Location

Tehran

Print_ISBN

978-1-4673-1149-6

Type

conf

DOI

10.1109/IranianCEE.2012.6292478

Filename

6292478