Acceleration of Monte Carlo simulation of photon migration in complex heterogeneous media using Intel many-integrated core architecture

Anton V. Gorshkov; Mikhail Yu. Kirillin

doi:10.1117/1.JBO.20.8.085002

7 August 2015 Acceleration of Monte Carlo simulation of photon migration in complex heterogeneous media using Intel many-integrated core architecture

Anton V. Gorshkov, Mikhail Yu. Kirillin

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Journal of Biomedical Optics, Vol. 20, Issue 8, 085002 (August 2015). https://doi.org/10.1117/1.JBO.20.8.085002

Abstract

Over two decades, the Monte Carlo technique has become a gold standard in simulation of light propagation in turbid media, including biotissues. Technological solutions provide further advances of this technique. The Intel Xeon Phi coprocessor is a new type of accelerator for highly parallel general purpose computing, which allows execution of a wide range of applications without substantial code modification. We present a technical approach of porting our previously developed Monte Carlo (MC) code for simulation of light transport in tissues to the Intel Xeon Phi coprocessor. We show that employing the accelerator allows reducing computational time of MC simulation and obtaining simulation speed-up comparable to GPU. We demonstrate the performance of the developed code for simulation of light transport in the human head and determination of the measurement volume in near-infrared spectroscopy brain sensing.

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Anton V. Gorshkov and Mikhail Yu. Kirillin "Acceleration of Monte Carlo simulation of photon migration in complex heterogeneous media using Intel many-integrated core architecture," Journal of Biomedical Optics 20(8), 085002 (7 August 2015). https://doi.org/10.1117/1.JBO.20.8.085002

Published: 7 August 2015

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KEYWORDS

Monte Carlo methods

Photon transport

Near infrared spectroscopy

Head

Computer simulations

Brain

Computer architecture

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