Name
Abstract | ||
|---|---|---|
The high degree of computational complexity of atmosphere and ocean general circulation models, land-surface models, and dynamical sea-ice models makes coupled climate modeling a grand-challenge problem in high-performance computing. On distributed-memory parallel computers, a coupled model comprises multiple message-passing-parallel models, each of which must exchange data among themselves or through a special component called a coupler. The Model Coupling Toolkit (MCT) is a set of Fortran90 objects that can be used to easily create low bandwidth parallel data exchange algorithms and other functions of a parallel coupler. In this paper we describe the MCT, how it was employed to implement some of the important functions found in the ux coupler for the Parallel Climate Model(PCM), and compare the performance of MCT-based PCM functions with their PCM counterparts. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-46080-2_79 | International Conference on Computational Science (2) |
Keywords | Field | DocType |
parallel climate,ux coupler,real application,low bandwidth parallel data,pcm counterpart,exchange algorithm,parallel coupler,fortran90 object,model coupling toolkit,distributed-memory parallel computer,mct-based pcm function,computational complexity,climate model,distributed memory,mathematical model | Data exchange,Coupling,Shared memory,Parallel algorithm,Computer science,Algorithm,Distributed memory,Computational science,Bandwidth (signal processing),Mathematical model,Computational complexity theory,Distributed computing | Conference |
Volume | ISSN | ISBN |
2330 | 0302-9743 | 3-540-43593-X |
Citations | PageRank | References |
4 | 0.70 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Everest T. Ong | 1 | 127 | 10.50 |
| Jay Walter Larson | 2 | 127 | 11.98 |
| Robert L. Jacob | 3 | 140 | 13.23 |