Presentation 2014-01-24
Investigation of accelerating simulation for the sensor network protocol with using GPGPU
Saori NAKAJO, Hiroaki NOSE, Hikohumi SUZUKI, Yasushi FUWA,
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Abstract(in English) In recent years, GPGPU in charge of graphics processing in a computer attracts attention. GPU has the structural characteristics that can execute parallel computation fast. Therefore, it is expected that GPGPU speeds up large-scale simulation. In this research, we propose techniques to apply the GPGPU to simulation of the sensor network protocol. Furthermore, we confirmed that network simulation in parallel which assign the calculation of the behavior of the sensor terminal to the thread which is the smallest unit of parallel operation in GPGPU is possible. And We performed simulation by GPU and compared it with the result using the CPU. The result shows that the proposed techniques can achieve speedup of simulation of the sensor network protocol.
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Keyword(in English) GPGPU / Sensor Network / Protocol / Simulation
Paper # ASN2013-156
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Conference Date 2014/1/16(1days)
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Registration To Ambient intelligence and Sensor Networks(ASN)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Investigation of accelerating simulation for the sensor network protocol with using GPGPU
Sub Title (in English)
Keyword(1) GPGPU
Keyword(2) Sensor Network
Keyword(3) Protocol
Keyword(4) Simulation
1st Author's Name Saori NAKAJO
1st Author's Affiliation Department of Computer & System Engineering, Nagano Prefectural Institute of Technology()
2nd Author's Name Hiroaki NOSE
2nd Author's Affiliation Department of Computer & System Engineering, Nagano Prefectural Institute of Technology
3rd Author's Name Hikohumi SUZUKI
3rd Author's Affiliation Integrated Intelligence Center, Shinshu University
4th Author's Name Yasushi FUWA
4th Author's Affiliation Integrated Intelligence Center, Shinshu University
Date 2014-01-24
Paper # ASN2013-156
Volume (vol) vol.113
Number (no) 399
Page pp.pp.-
#Pages 6
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