Research Commons
      • Browse 
        • Communities & Collections
        • Titles
        • Authors
        • By Issue Date
        • Subjects
        • Types
        • Series
      • Help 
        • About
        • Collection Policy
        • OA Mandate Guidelines
        • Guidelines FAQ
        • Contact Us
      • My Account 
        • Sign In
        • Register
      View Item 
      •   Research Commons
      • University of Waikato Research
      • Science and Engineering
      • Science and Engineering Papers
      • View Item
      •   Research Commons
      • University of Waikato Research
      • Science and Engineering
      • Science and Engineering Papers
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Accelerating Monte Carlo simulations with an NVIDIA® graphics processor

      Martinsen, Paul; Blaschke, Johannes; Künnemeyer, Rainer; Jordan, Robert
      Thumbnail
      Files
      Kunnemeyer Accelerating.pdf
      248.2Kb
      DOI
       10.1016/j.cpc.2009.05.013
      Find in your library  
      Citation
      Export citation
      Martinsen, 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
      2009
      Type
      Journal Article
      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.
      Collections
      • Science and Engineering Papers [3122]
      Show full item record  

      Usage

      Downloads, last 12 months
      86
       
       
       

      Usage Statistics

      For this itemFor all of Research Commons

      The University of Waikato - Te Whare Wānanga o WaikatoFeedback and RequestsCopyright and Legal Statement