Abstract
We describe the Uintah Computational Framework (UCF), a set of software components and libraries that facilitate the simulation of Partial Differential Equations (PDEs) on Structured AMR (SAMR) grids using hundreds to thousands of processors. The UCF uses a non-traditional approach to achieving parallelism, employing an abstract taskgraph representation to describe computation and communication. This representation has a number of advantages that affect the performance of the resulting simulation. We demonstrate performance of the system on a solid mechanics algorithm, two different Computational Fluid-Dynamics (CFD) algorithms, and coupled CFD/solids algorithms. We illustrate the performance of the UCF for jobs requiring up to 2000 processors. © Springer-Verlag 2002.
Cite
CITATION STYLE
Parker, S. G. (2002). A component-based architecture for parallel multi-physics PDE simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2331 LNCS, pp. 719–734). Springer Verlag. https://doi.org/10.1007/3-540-47789-6_75
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