Accelerating Monte Carlo simulations with an NVIDIA® graphics processor
Citation
Export citationMartinsen, P., Blaschke, J., Künnemeyer, R. & Jordan, R. (2009). Accelerating Monte Carlo simulations with an NVIDIA® graphics processor . Computer Physics Communications, 180(10), 1983-1989.
Permanent Research Commons link: https://hdl.handle.net/10289/2682
Abstract
Modern graphics cards, commonly used in desktop computers, have evolved beyond a simple interface between processor and display to incorporate sophisticated calculation engines that can be applied to general purpose computing. The Monte Carlo algorithm for modelling photon transport in turbid media has been implemented on an NVIDIA® 8800gt graphics card using the CUDA toolkit. The Monte Carlo method relies on following the trajectory of millions of photons through the sample, often taking hours or days to complete. The graphics-processor implementation, processing roughly 110 million scattering events per second, was found to run more than 70 times faster than a similar, single-threaded implementation on a 2.67 GHz desktop computer.
Date
2009Type
Publisher
Elsevier
Rights
This is an author’s accepted version of an article published in the journal: Computer Physics Communications. Copyright © 2009 Elsevier B.V. All rights reserved.