Paper Info
Title
The Model Coupling Toolkit: A New Fortran90 Toolkit for Building Multiphysics Parallel Coupled Models
Abstract
Many problems in science and engineering are best simulated as a set of mutually interacting models, resulting in a coupled or multiphysics model. These models present challenges stemming from their interdisciplinary nature and from their computational and algorithmic complexities. The computational complexity of individual models, combined with the popularity of the distributed-memory parallel programming model used on commodity micro-processor-based clusters, results in a parallel coupling problem when building a coupled model. We define and elucidate this problem and how it results in a set of requirements for software capable of simplifying the construction of parallel coupled models. We describe the package, the Model Coupling Toolkit (MCT), which we have developed to meet these general requirements and the specific requirements of a parallel climate model. We present the MCT programming model with illustrative code examples. We present representative results that measure MCT's scalability, performance portability, and a proxy for coupling overhead.
Year
DOI
Venue
2005
10.1177/1094342005056115
IJHPCA
Keywords
Field
DocType
distributed memory,computational complexity,programming model,parallel computer,parallel computing,multiphysics,parallel programming model
Coupling,Multiphysics,Programming paradigm,Computer science,Parallel computing,Theoretical computer science,Software,Parallel programming model,Software portability,Distributed computing,Scalability,Computational complexity theory
Journal
Volume
Issue
ISSN
19
3
1094-3420
Citations 
PageRank 
References 
73
4.39
9
Authors
3
Name
Order
Citations
PageRank
Jay Walter Larson112711.98
Robert L. Jacob214013.23
Everest T. Ong312710.50