Implementation, capabilities, and benchmarking of shift, a massively parallel Monte Carlo radiation transport code
type: Item
instance of: scholarly article
title: Implementation, capabilities, and benchmarking of shift, a massively parallel Monte Carlo radiation transport code
zbMATH Open document ID: 1351.82083
author: Tara M. Pandya
author: Seth R. Johnson
author: T. M. Evans
author: G. G. Davidson
author: Steven P. Hamilton
author: Andrew T. Godfrey
published in: Journal of Computational Physics
publication date: 2016-12-20T00:00:00Z
Mathematics Subject Classification ID: 82C80
Mathematics Subject Classification ID: 65C05
Mathematics Subject Classification ID: 65Y05
Mathematics Subject Classification ID: 65Y15
Mathematics Subject Classification ID: 82D75
zbMATH DE Number: 6666811
zbMATH Keywords: Monte Carlo methods
zbMATH Keywords: neutron transport
zbMATH Keywords: parallel computation
describes a project that uses: VESTA
describes a project that uses: ADVANTG
describes a project that uses: AMPX-2000
describes a project that uses: MORSE-CGA
describes a project that uses: KENO
describes a project that uses: MCNP
describes a project that uses: VERA
describes a project that uses: DENOVO
describes a project that uses: VisIt
describes a project that uses: ENDF
MaRDI profile type: Publication
full work available at URL: j.jcp.2015.12.037
OpenAlex ID: W2221005642
Wikidata QID: Q57703555
cites work: Comparison of four parallel algorithms for domain decomposed implicit Monte Carlo
cites work: An efficient, robust, domain-decomposition algorithm for particle Monte Carlo
DOI: 10.1016/J.JCP.2015.12.037
description: scientific article; zbMATH DE number 6666811