Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms
November 09, 2017 Β· Declared Dead Β· π Journal of Biomedical Optics
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Authors
Leiming Yu, Fanny Nina-Paravecino, David Kaeli, Qianqian Fang
arXiv ID
1711.03244
Category
cs.DC: Distributed Computing
Cross-listed
physics.comp-ph
Citations
120
Venue
Journal of Biomedical Optics
Last Checked
4 months ago
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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