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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Egashira, A. Satoh, S. Irie, H. Yoshinaga, T. |
| Copyright Year | 2012 |
| Abstract | Detailed mechanism of optical illusion caused by visual neurons in human brain has not been well understood, and its numerical simulation is helpful to analyze visual system of humans. This paper describes implementation techniques of parallel numerical simulation to help understanding optical illusion by using a GPU-accelerated PC cluster. Our parallel acceleration techniques include following three points. Firstly, input images of the numerical simulation is efficiently calculated by dividing it images for multiple computation nodes using MPI (Message Passing Interface). Secondly, convolution, which is dominated computation for the optical flow, is accelerated by GPU. Finally, an algorithm to compute convolution specified to analyze optical illusion is proposed to speed up the simulation. Our experimental results show an interesting insight that values of optical flow for images causing optical illusion are quite different compared to that does not cause the optical illusion. We also demonstrate that our implementation of simulation works efficiently on the GPU-accelerated PC cluster. |
| Starting Page | 130 |
| Ending Page | 136 |
| File Size | 1149545 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781467346245 |
| DOI | 10.1109/ICNC.2012.27 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-12-05 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Computational modeling Humans MPI Optical imaging GPU CUDA Parallel computing Convolution Visual neural system Numerical simulation Mathematical model Kernel |
| Content Type | Text |
| Resource Type | Article |
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