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Parallel processing with the subsystem synthesis method for efficient vehicle analysis

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Abstract

In this paper, parallel processing of a vehicle analysis based on the subsystem synthesis method was developed in a multi-core CPU environment. The subsystem synthesis method provides independent computation of each suspension subsystem module, and so is ideally suited for parallel processing. For parallel program implementation, OpenMP API (Application program interface) for a shared memory multi-core CPU was utilized. Three different parallel implementations were applied to examine the performance of parallel processing. In the first, parallel processing was applied only to the identified parallel regions in the subsystem synthesis method within the integration time loop. In the second, parallel processing was applied from the beginning of the program in order to avoid overhead due to the creation of parallel threads in every time step. The 3rd implementation was the same as the 2nd one, except that unnecessary data synchronization overhead was removed. In order to investigate the performance of the proposed parallel processing, parallel programs with three different implementations were created for a 6 x 6 unmanned robot vehicle model. Rough terrain run simulations were carried out. Performances of the 1st and 2nd implementation methods were worse than that of the sequential program. When parallel processing with proper treatment of overheads was used, a three times increase in computational speed was achieved from the 3rd implementation, compared with serial computation.

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Author information

Authors and Affiliations

  1. Optical Instrumentation Development Team, Korea Basic Science Institute, 34133 Gwahak-ro, Yusong-Ku, 169-148, Daejeon, Korea

    Hee Chan Kang

  2. Department of Mechatronics Engineering, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon, 305-764, Korea

    Sung-Soo Kim

  3. Technology Center for Offshore Plant Industries, Korea Research Institute of Ships & Ocean Engineering, 32 1312 beon-gil, Yuseong-daero, Yuseong-gu, Daejeon, 305-343, Korea

    Chang-Ho Lee

Authors
  1. Hee Chan Kang
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  2. Sung-Soo Kim
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  3. Chang-Ho Lee
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Corresponding author

Correspondence to Sung-Soo Kim.

Additional information

This paper was presented at the Joint Conference of the 3rd IMSD and the 7th ACMD, Busan, Korea, June 2014. Recommended by Guest Editor Sung-Soo Kim and Jin Hwan Choi

Hee Chan Kang received his B.S. and M.S. degree in the department of Mechatronics Engineering from Chungnam National University in 2013 and 2015, respectively. He is working at KBSI in the research field on optical technology instrumentation development. His main research areas are numerical analysis using multi-body dynamics and parallel processing programming.

Sung-Soo Kim received his Ph.D. degree in Mechanical Engineering from University of Iowa, U.S.A., in 1988. He is currently a professor of Mechatronics Engineering at Chungnam National University, Daejeon, Korea. His research interests are real-time multibody dynamics and its application to automotive systems and military robot systems.

Chang-Ho Lee received B.S. and M.S. degrees in the department of Mechatronics Engineering from Chungnam National University in 2004 and 2006, respectively. He is working at KRISO in the research field on mining technology of deep-seabed mineral resources. He is currently a Ph.D. candidate in intelligent robot system in Chungnam National University.

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Kang, H.C., Kim, SS. & Lee, CH. Parallel processing with the subsystem synthesis method for efficient vehicle analysis. J Mech Sci Technol 29, 2663–2669 (2015). https://doi.org/10.1007/s12206-015-0512-4

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  • DOI: https://doi.org/10.1007/s12206-015-0512-4

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