2020
DOI: 10.2172/1649625
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Omnibus User Manual

Abstract: Execution flow for omnibus-run. The small black boxes are the typical input/output files, blue circles are parts of the Python pre-processor run on the head node, the red circle is the Omnibus executable (run on the compute nodes), and dotted lines denote optional files (e.g., multiple input files).

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Cited by 6 publications
(5 citation statements)
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“…Two results from Shift are presented using Omnibus-Shift and SCALE-Shift. The Shift Monte Carlo code can be executed via two distinct frontends: SCALE [4] and Omnibus [9]. Currently, cell-wise few-group cross sections can be generated using the Omnibus frontend.…”
Section: Msre Model Validationmentioning
confidence: 99%
“…Two results from Shift are presented using Omnibus-Shift and SCALE-Shift. The Shift Monte Carlo code can be executed via two distinct frontends: SCALE [4] and Omnibus [9]. Currently, cell-wise few-group cross sections can be generated using the Omnibus frontend.…”
Section: Msre Model Validationmentioning
confidence: 99%
“…1. Omnibus: Omnibus is available through SCALE and is designed to launch Shift calculations in high performance computing (HPC) environments [5]. Runtime options such as scheduler type, number of nodes, walltime, processors per node, and message passing interface (MPI) command-line arguments are specified in the Omnibus input file.…”
Section: Executable Optionsmentioning
confidence: 99%
“…Figure 2 b) illustrates the hybrid method used in this study. There are two options in the deterministic step: the Consistent Adjoint Driven Importance Sampling (CADIS) or the Forward-Weighted consistent Adjoint Driven Importance Sampling (FW-CADIS) [4]. With CADIS, the deterministic SN code Denovo, which was developed by ORNL, calculates the adjoint flux (neutron importance) on a simplified and homogenized problem of the original model and generate the weight window for Shift to perform the main transport.…”
Section: Monte Carlo Variance Reduction Techniquesmentioning
confidence: 99%
“…Then, the NEAMS Monte Carlo code Shift, which is being developed at ORNL, was used to model the same problem. Shift is a massively parallel Monte Carlo radiation transport code [4], which made it very attractive for NEAMS to assess its potential use in dose rate and shielding calculations. ANL and ORNL worked together to set up and run the Shift code successfully on the INL HPC cluster.…”
Section: Introductionmentioning
confidence: 99%