Current Optics and Photonics

  • 제5권6호
  • /
  • Pages.617-626
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  • 2021
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  • 2508-7266(pISSN)
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  • 2508-7274(eISSN)
한국광학회 (Optical Society of Korea)
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GPU-based Monte Carlo Photon Migration Algorithm with Path-partition Load Balancing

  • Jeon, Youngjin (Department of Electronics and Information Engineering, Korea University Sejong Campus) ;
  • Park, Jongha (Department of Electronics and Information Engineering, Korea University Sejong Campus) ;
  • Hahn, Joonku (Department of Electronics and Information Engineering, Korea University Sejong Campus) ;
  • Kim, Hwi (Department of Electronics and Information Engineering, Korea University Sejong Campus)
  • 투고 : 2021.06.23
  • 심사 : 2021.09.23
  • 발행 : 2021.12.25
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초록

A parallel Monte Carlo photon migration algorithm for graphics processing units that implements an improved load-balancing strategy is presented. Conventional parallel Monte Carlo photon migration algorithms suffer from a computational bottleneck due to their reliance on a simple load-balancing strategy that does not take into account the different length of the mean free paths of the photons. In this paper, path-partition load balancing is proposed to eliminate this computational bottleneck based on a mathematical formula that parallelizes the photon path tracing process, which has previously been considered non-parallelizable. The performance of the proposed algorithm is tested using three-dimensional photon migration simulations of a human skin model.

키워드

과제정보

This work was supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2020-0-00981, Development of Digital Holographic Metrology Technology for Phase Retrieval).

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