Title :
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
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);
Conference_Titel :
Electrical Engineering (ICEE), 2012 20th Iranian Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4673-1149-6
DOI :
10.1109/IranianCEE.2012.6292478