Abstract | ||
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We present a new methodology for generating and adapting octreemeshes for terascale applications. Our approach combines existing methods,such as parallel octree decomposition and space-filling curves, with a setof new methods that address the special needs of parallel octree meshing.We have implemented these techniques in a parallel meshing tool called Octor.Performance evaluations on up to 2000 processors show that Octor has goodisogranular scalability, fixed-size scalability, and absolute running time. Octor also provides a novel data access interface to parallel PDE solvers andparallel visualization pipelines, making it possible to develop tightly coupledend-to-end finite element simulations on terascale systems. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1109/SC.2005.61 | SC |
Keywords | Field | DocType |
biomedical engineering,finite element methods,scalability,computer science,computational modeling,mesh generation,linear system,data visualization,pipelines,high resolution,data access | Data visualization,Polygon mesh,Visualization,Computer science,Parallel computing,Finite element method,Computational science,Data access,Mesh generation,Octree,Scalability | Conference |
ISBN | Citations | PageRank |
1-59593-061-2 | 33 | 2.22 |
References | Authors | |
20 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tiankai Tu | 1 | 193 | 14.17 |
David R. O'hallaron | 2 | 1243 | 126.28 |
Omar Ghattas | 3 | 697 | 61.43 |