A GPU based simulation platform for adaptive frequency hopf oscillators
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
884-888
Soleimani, H.
a028b019-db37-4de1-bad2-192fc8952b50
Maleki, M.A.
6e1d1112-3873-490a-bc19-088c3e0bab63
Ahmadi, A.
d66d59bd-f54c-4ad9-9f87-5d216d1fef1b
Bavandpour, M.
094a344e-6477-470d-84f3-b5364fe885db
Maharatna, K.
93bef0a2-e011-4622-8c56-5447da4cd5dd
Zwolinski, M.
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
2012
Soleimani, H.
a028b019-db37-4de1-bad2-192fc8952b50
Maleki, M.A.
6e1d1112-3873-490a-bc19-088c3e0bab63
Ahmadi, A.
d66d59bd-f54c-4ad9-9f87-5d216d1fef1b
Bavandpour, M.
094a344e-6477-470d-84f3-b5364fe885db
Maharatna, K.
93bef0a2-e011-4622-8c56-5447da4cd5dd
Zwolinski, M.
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
Soleimani, H., Maleki, M.A., Ahmadi, A., Bavandpour, M., Maharatna, K. and Zwolinski, M.
(2012)
A GPU based simulation platform for adaptive frequency hopf oscillators.
2012 20th Iranian Conference on Electrical Engineering (ICEE), Tehran, Iran, Islamic Republic of.
.
(doi:10.1109/IranianCEE.2012.6292478).
Record type:
Conference or Workshop Item
(Paper)
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
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Published date: 2012
Venue - Dates:
2012 20th Iranian Conference on Electrical Engineering (ICEE), Tehran, Iran, Islamic Republic of, 2012-01-01
Organisations:
EEE
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Local EPrints ID: 361451
URI: http://eprints.soton.ac.uk/id/eprint/361451
PURE UUID: 6afb2aa3-c1ee-45de-b79d-ca5fd65e7a6e
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Date deposited: 24 Jan 2014 08:53
Last modified: 15 Mar 2024 02:39
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Author:
H. Soleimani
Author:
M.A. Maleki
Author:
A. Ahmadi
Author:
M. Bavandpour
Author:
K. Maharatna
Author:
M. Zwolinski
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