| Presentation | 2016-11-18 GPGPU-accelerated simulation and accuracy evaluation for various neuron models Shun Okuno, Kazuhisa Fujita, Yoshiki Kashimori, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | To understand the processing mechanisms of sensory information in the brain, it is necessary to simulate a huge size of network that consists of complicated neuronal model imitating the actual neurons. However, such a simulation requires a very long computation time, failing to perform computer simulation with a realistic time scale. In order to solve the problem of computation time, we focus on the reduction of computation time by GPGPU, providing an efficient method for simulation of huge number of neurons. In this paper, we develop a computational architecture of GPGPU, by which computation of neurons is performed in parallel. Using this architecture, we show that the GPGPU method significantly reduces the computation time of neural simulation. We also show that the simulations with single and double float precision give little significant difference in the results, independently of the neuron models used. These results suggest that the GPGPU calculation with single float precision is most efficient method for simulation of a huge size of neural network. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | GPGPU / Accelertion / Accuracy evalution / Neural simulation |
| Paper # | NC2016-32 |
| Date of Issue | 2016-11-11 (NC) |
| Conference Information | |
| Committee | MBE / NC |
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| Conference Date | 2016/11/18(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tohoku University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yutaka Fukuoka(Kogakuin Univ.) / Shigeo Sato(Tohoku Univ.) |
| Vice Chair | Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.) |
| Secretary | Kazuki Nakajima(Kogakuin Univ.) / Masafumi Hagiwara(Toyama Pref. Univ.) |
| Assistant | Ryota Horie(Shibaura Inst. of Tech.) / Kim Juhyon(Univ. of Toyama) / Hisanao Akima(Tohoku Univ.) / Yoshihisa Shinozawa(Keio Univ.) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | GPGPU-accelerated simulation and accuracy evaluation for various neuron models |
| Sub Title (in English) | |
| Keyword(1) | GPGPU |
| Keyword(2) | Accelertion |
| Keyword(3) | Accuracy evalution |
| Keyword(4) | Neural simulation |
| 1st Author's Name | Shun Okuno |
| 1st Author's Affiliation | The University of Electro-Communications(UEC) |
| 2nd Author's Name | Kazuhisa Fujita |
| 2nd Author's Affiliation | National Institute of Technology, Tsuyama College(NIT) |
| 3rd Author's Name | Yoshiki Kashimori |
| 3rd Author's Affiliation | The University of Electro-Communications(UEC) |
| Date | 2016-11-18 |
| Paper # | NC2016-32 |
| Volume (vol) | vol.116 |
| Number (no) | NC-313 |
| Page | pp.pp.1-6(NC), |
| #Pages | 6 |
| Date of Issue | 2016-11-11 (NC) |