GPU-based Monte Carlo Photon Migration Algorithm with Path-partition Load Balancing

  • Jeon, Youngjin
  • Park, Jongha
  • Hahn, Joonku
  • Kim, Hwi
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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

Blood vessel&nbspGraphics Proccesing Unit&nbspMonte Carlo Method&nbspNumerical modeling&nbspScatteringNET ANALYTE SIGNAL
제목
GPU-based Monte Carlo Photon Migration Algorithm with Path-partition Load Balancing
저자
Jeon, YoungjinPark, JonghaHahn, JoonkuKim, Hwi
DOI
10.3807/COPP.2021.5.6.617
발행일
2021-12
유형
Article
저널명
Current Optics and Photonics
5
6
페이지
617 ~ 626