Obtaining identical results with double precision global accuracy on different numbers of processors in parallel particle Monte Carlo simulations

DOI10.1016/j.jcp.2013.05.041zbMath1349.65042OpenAlexW2079094383MaRDI QIDQ347945

Jeffrey A. Keasler, Thomas A. Brunner, Mathew A. Cleveland, Nicholas A. Gentile

Publication date: 5 December 2016

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2013.05.041

zbMATH Keywords

Monte Carloparallelnumerical reproducibilitysoftware extended precision

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Parallel numerical computation (65Y05) Stochastic particle methods (65C35)

Related Items (2)

First steps towards more numerical reproducibility ⋮ Four Decades of Implicit Monte Carlo

Uses Software

• gmp
• LBNL
• Kull IMC

Cites Work

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• An efficient, robust, domain-decomposition algorithm for particle Monte Carlo
• Adaptive precision floating-point arithmetic and fast robust geometric predicates
• A floating-point technique for extending the available precision
• An implicit Monte Carlo scheme for calculating time and frequency dependent nonlinear radiation transport

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