基于GPU的自适应频率hopf振荡器仿真平台

H. Soleimani, M. A. Maleki, A. Ahmadi, Mohammad Bavandpour, K. Maharatna, Mark Zwolinski
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引用次数: 0

摘要

在本文中,我们演示了一个运行在单个GPU上的动态系统模拟器。当模拟超过1000万个自适应Hopf振荡器时,该模型(运行在具有1GB内存的NVIDIA GT325M上)比CPU版本快50倍。仿真结果表明,不论是离散谱还是连续谱,振荡器都能调谐到正确的频率。由于其动态特性,该系统还能够跟踪非平稳光谱。利用该模型得到了心电信号(作为非平稳信号)的频谱,并证明了信号的频域表示(即FFT)与MATLAB生成的频率域表示相同。
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A GPU based simulation platform for adaptive frequency hopf oscillators
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.
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