A recent study on hardware accelerated Monte Carlo modeling of light propagation in biological tissues
The Monte Carlo (MC) method is the gold standard in photon migration through 3D media with spatially varying optical properties. MC offers excellent accuracy, easy-to-program and straightforward parallelization. In this study we summarize the recent advances in accelerating simulations of light prop...
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Springer Verlag
2016
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my.utm.736712017-11-28T07:42:36Z http://eprints.utm.my/id/eprint/73671/ A recent study on hardware accelerated Monte Carlo modeling of light propagation in biological tissues Mesicek, J. Krejcar, O. Selamat, A. Kuca, K. QA75 Electronic computers. Computer science The Monte Carlo (MC) method is the gold standard in photon migration through 3D media with spatially varying optical properties. MC offers excellent accuracy, easy-to-program and straightforward parallelization. In this study we summarize the recent advances in accelerating simulations of light propagation in biological tissues. The systematic literature review method is involved selecting the relevant studies for the research. With this approach research questions regarding the acceleration techniques are formulated and additional selection criteria are applied. The selected studies are analyzed and the research questions are answered. We discovered that there are several possibilities for accelerating the MC code and the CUDA platform is used in more than 60% of all studies. We also discovered that the trend in GPU acceleration with CUDA has continued in last two years. Springer Verlag 2016 Conference or Workshop Item PeerReviewed Mesicek, J. and Krejcar, O. and Selamat, A. and Kuca, K. (2016) A recent study on hardware accelerated Monte Carlo modeling of light propagation in biological tissues. In: 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, 2-4 Aug 2016, Morioka, Japan. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978878319&doi=10.1007%2f978-3-319-42007-3_43&partnerID=40&md5=54c3b0e597ebfa8039f0698ec53b38a6 |
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QA75 Electronic computers. Computer science Mesicek, J. Krejcar, O. Selamat, A. Kuca, K. A recent study on hardware accelerated Monte Carlo modeling of light propagation in biological tissues |
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The Monte Carlo (MC) method is the gold standard in photon migration through 3D media with spatially varying optical properties. MC offers excellent accuracy, easy-to-program and straightforward parallelization. In this study we summarize the recent advances in accelerating simulations of light propagation in biological tissues. The systematic literature review method is involved selecting the relevant studies for the research. With this approach research questions regarding the acceleration techniques are formulated and additional selection criteria are applied. The selected studies are analyzed and the research questions are answered. We discovered that there are several possibilities for accelerating the MC code and the CUDA platform is used in more than 60% of all studies. We also discovered that the trend in GPU acceleration with CUDA has continued in last two years. |
format |
Conference or Workshop Item |
author |
Mesicek, J. Krejcar, O. Selamat, A. Kuca, K. |
author_facet |
Mesicek, J. Krejcar, O. Selamat, A. Kuca, K. |
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Mesicek, J. |
title |
A recent study on hardware accelerated Monte Carlo modeling of light propagation in biological tissues |
title_short |
A recent study on hardware accelerated Monte Carlo modeling of light propagation in biological tissues |
title_full |
A recent study on hardware accelerated Monte Carlo modeling of light propagation in biological tissues |
title_fullStr |
A recent study on hardware accelerated Monte Carlo modeling of light propagation in biological tissues |
title_full_unstemmed |
A recent study on hardware accelerated Monte Carlo modeling of light propagation in biological tissues |
title_sort |
recent study on hardware accelerated monte carlo modeling of light propagation in biological tissues |
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Springer Verlag |
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2016 |
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http://eprints.utm.my/id/eprint/73671/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978878319&doi=10.1007%2f978-3-319-42007-3_43&partnerID=40&md5=54c3b0e597ebfa8039f0698ec53b38a6 |
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13.154949 |