Browse Dept. of Computer Science by Subject "Monte Carlo"

  • Iandola, Forrest; O'Brien, Matthew; Procassini, Richard (ANS/LAS International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2011), 2011-05)
    Parallel scientific applications are often written in low-level languages for optimal performance. However, such applications often sacrifice straightforward debugging and usability in the interest of performance. Mercury ...

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  • Walsh, Jonathan; Chase, Lila (Lawrence Livermore National Laboratory Technical Report, 2010-08-12)
    A means for translating MCNP5 input files into a form that can be run by Mercury, a modern Monte Carlo particle transport code, will allow MCNP5 users to more easily take advantage of the high-performance computing benefits ...

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