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CITATION.cff
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62 lines (61 loc) · 2.07 KB
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# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Parallel Coupler for Multimodel Simulations
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Jacob
family-names: Merson
email: mersoj2@rpi.edu
affiliation: Rensselaer Polytechnic Institute
orcid: 'https://orcid.org/0000-0002-6813-6532'
name-particle: S
- given-names: Cameron
name-particle: W
family-names: Smith
affiliation: Rensselaer Polytechnic Institute
- given-names: Mark
name-particle: S
family-names: Shephard
affiliation: Rensselaer Polytechnic Institute
- given-names: Fuad
family-names: Hasan
affiliation: Rensselaer Polytechnic Institute
- given-names: Abhiyan
family-names: Paudel
affiliation: Rensselaer Polytechnic Institute
- given-names: Angel
family-names: Castillo-Crooke
affiliation: Rensselaer Polytechnic Institute
- given-names: Joyal
family-names: Mathew
affiliation: Rensselaer Polytechnic Institute
- given-names: Mohammad
family-names: Elahi
affiliation: Rensselaer Polytechnic Institute
identifiers:
- type: doi
value: 10.48550/arXiv.2510.18838
repository-code: 'https://github.com/SCOREC/pcms'
abstract: >-
PCMS provides infrastructure to couple multiple simulation
codes at scale on exascale systems. It uses scalable
methodologies for transferring data between distributed
applications. PCMS takes a hierarchical approach to field
transfer using as much information as possible, such as
mesh topology, to accommodate conservation and other
physical constraints. In the context of limited
information, alternative strategies, such as radial basis
functions, are used to support field transfer. PCMS has
been demonstrated on coupled fusion simulations that make
use of volume coupling of high-dimensional data and
complex coordinate systems.
keywords:
- HPC
- coupling
- supercomputing
- unstructured-meshes
license: BSD-3-Clause