Articles | Volume 16, issue 3
Development and technical paper
03 Feb 2023
Development and technical paper |  | 03 Feb 2023

Parallelized domain decomposition for multi-dimensional Lagrangian random walk mass-transfer particle tracking schemes

Lucas Schauer, Michael J. Schmidt, Nicholas B. Engdahl, Stephen D. Pankavich, David A. Benson, and Diogo Bolster


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-781', Anonymous Referee #1, 12 Sep 2022
    • AC1: 'Reply to RC1', Lucas Schauer, 21 Sep 2022
      • EC1: 'Reply on AC1', David Ham, 11 Oct 2022
  • RC2: 'Comment on egusphere-2022-781', Anonymous Referee #2, 23 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Lucas Schauer on behalf of the Authors (17 Nov 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Reconsider after major revisions (01 Dec 2022) by David Ham
AR by Lucas Schauer on behalf of the Authors (13 Jan 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (13 Jan 2023) by David Ham
AR by Lucas Schauer on behalf of the Authors (13 Jan 2023)  Manuscript 
Short summary
We develop a multi-dimensional, parallelized domain decomposition strategy for mass-transfer particle tracking methods in two and three dimensions, investigate different procedures for decomposing the domain, and prescribe an optimal tiling based on physical problem parameters and the number of available CPU cores. For an optimally subdivided diffusion problem, the parallelized algorithm achieves nearly perfect linear speedup in comparison with the serial run-up to thousands of cores.