GPU Acceleration of Monte Carlo Simulation at the Cellular and DNA Levels

  • Shogo Okada
  • Koichi Murakami
  • Katsuya Amako
  • Takashi Sasaki
  • Sébastien Incerti
  • Mathieu Karamitros
  • Nick Henderson
  • Margot Gerritsen
  • Makoto Asai
  • Andrea Dotti
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 45)

Abstract

Geant4-DNA is an extension of the general purpose Geant4 Monte Carlo simulation toolkit. It can simulate particle-matter physical interactions down to very low energies in liquid water. The simulation in that energy scale needs enormous computing time since it simulates all physical interactions following a discrete approach. This work presents the implementation of the physics processes/models of the Geant4-DNA extension in GPU architecture. We observed impressive performance gain with the same physics accuracy as existing methods.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Shogo Okada
    • 1
  • Koichi Murakami
    • 1
  • Katsuya Amako
    • 1
  • Takashi Sasaki
    • 1
  • Sébastien Incerti
    • 2
  • Mathieu Karamitros
    • 2
  • Nick Henderson
    • 3
  • Margot Gerritsen
    • 3
  • Makoto Asai
    • 4
  • Andrea Dotti
    • 4
  1. 1.High Energy Accelerator Research OrganizationKEKTsukubaJapan
  2. 2.Centre D’Etudes Nucléaires de Bordeaux GradignanUniversité de BordeauxCenbgFrance
  3. 3.Institute for Computational and Mathematical EngineeringStanford UniversityStanfordUSA
  4. 4.SLAC National Accelerator LaboratoryMenlo ParkUSA

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