5 years ago

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

David Kaeli, Leiming Yu, Fanny Nina-Paravecino, Qianqian Fang

We present a highly scalable Monte Carlo (MC) 3D photon transport simulation platform designed for heterogeneous computing systems. By developing a massively parallel MC algorithm using the OpenCL framework, this research extends our existing 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 strategies have been developed to obtain efficient simulations using multiple CPUs and GPUs.

Publisher URL: http://arxiv.org/abs/1711.03244

DOI: arXiv:1711.03244v1

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