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arXiv · 1711.03244

Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms

Leiming Yu·Fanny Nina-Paravecino·David Kaeli·Qianqian Fang
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Abstract

We present a highly scalable Monte Carlo (MC) three-dimensional photon transport simulation platform designed for heterogeneous computing systems. Through the development of a massively parallel MC algorithm using the Open Computing Language (OpenCL) framework, this research extends our existing graphics processing unit (GPU)-accelerated MC technique to a highly scalable vendor-independent heterogeneous computing environment, achieving significantly improved performance and software portability. A number of parallel computing techniques are investigated to achieve portable performance over a wide range of computing hardware. Furthermore, multiple thread-level and device-level load-balancing strat- egies are developed to obtain efficient simulations using multiple central processing units (CPUs) and GPUs.

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Leiming Yu, Fanny Nina-Paravecino, David Kaeli, Qianqian Fang. 2017-11-09. Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms. https://doi.org/10.1117/1.jbo.23.1.010504

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