Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Nuclear Science and Engineering, 2013.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (p. 191-199).Monte Carlo particle transport methods are being considered as a viable option for high-fidelity simulation of nuclear reactors. While Monte Carlo methods offer several potential advantages over deterministic methods, there are a number of algorithmic shortcomings that would prevent their immediate adoption for full-core analyses. In this thesis, algorithms are proposed both to ameliorate the d...
Monte Carlo particle transport applications consist in studying the behaviour of particles moving ab...
The computing power available nowadays to the average Monte-Carlo-code user is sufficient to perform...
There is a need to improve the predictive capability of high-fidelity simulations of physical phenom...
An algorithm for decomposing large tally data in Monte Carlo particle transport simulations is devel...
Monte Carlo (MC) neutral particle transport codes are considered the gold-standard for nuclear simul...
In this work we describe a new method for parallelizing the source iterations in a Monte Carlo criti...
An algorithm for decomposing tally data in Monte Carlo simulations using servers has recently been p...
A new Monte Carlo code called OpenMC is currently under development at the Massachusetts Institute o...
The traditional form of parallelism in Monte Carlo particle transport simulations, wherein each indi...
This electronic version was submitted by the student author. The certified thesis is available in th...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Thesis: S.M., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, ...
The shift toward multicore architectures has ushered in a new era of shared memory parallelism for s...
Since near the very beginning of electronic computing, Monte Carlo particle transport has been a fun...
AbstractBecause of prohibitive data storage requirements in large-scale simulations, the memory prob...
Monte Carlo particle transport applications consist in studying the behaviour of particles moving ab...
The computing power available nowadays to the average Monte-Carlo-code user is sufficient to perform...
There is a need to improve the predictive capability of high-fidelity simulations of physical phenom...
An algorithm for decomposing large tally data in Monte Carlo particle transport simulations is devel...
Monte Carlo (MC) neutral particle transport codes are considered the gold-standard for nuclear simul...
In this work we describe a new method for parallelizing the source iterations in a Monte Carlo criti...
An algorithm for decomposing tally data in Monte Carlo simulations using servers has recently been p...
A new Monte Carlo code called OpenMC is currently under development at the Massachusetts Institute o...
The traditional form of parallelism in Monte Carlo particle transport simulations, wherein each indi...
This electronic version was submitted by the student author. The certified thesis is available in th...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Thesis: S.M., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, ...
The shift toward multicore architectures has ushered in a new era of shared memory parallelism for s...
Since near the very beginning of electronic computing, Monte Carlo particle transport has been a fun...
AbstractBecause of prohibitive data storage requirements in large-scale simulations, the memory prob...
Monte Carlo particle transport applications consist in studying the behaviour of particles moving ab...
The computing power available nowadays to the average Monte-Carlo-code user is sufficient to perform...
There is a need to improve the predictive capability of high-fidelity simulations of physical phenom...