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Parallel guaranteed quality Delaunay uniform mesh refinement
- SIAM Journal on Scientific Computing
, 2006
"... Abstract. We present a theoretical framework for developing parallel guaranteed quality Delaunay mesh generation software, that allows us to use commercial off-the-shelf sequential Delaunay meshers for two-dimensional geometries. In this paper, we describe our approach for constructing uniform meshe ..."
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Cited by 4 (3 self)
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Abstract. We present a theoretical framework for developing parallel guaranteed quality Delaunay mesh generation software, that allows us to use commercial off-the-shelf sequential Delaunay meshers for two-dimensional geometries. In this paper, we describe our approach for constructing uniform meshes, in other words, the meshes in which all elements have approximately the same size. Our uniform distributed- and shared-memory implementations are based on a simple (block) coarse-grained mesh decomposition. Our method requires only local communication, which is bulk and structured as opposed to fine and unpredictable communication of the existing practical parallel guaranteed quality mesh generation and refinement techniques. Our experimental data show that on a cluster of more than 100 workstations we can generate about 0.9 billion elements in less than 5 minutes in the absence of work-load imbalances. Preliminary results for this paper were presented in [5]. Our work in progress includes extending the presented approach, which can efficiently generate only uniform meshes, to nonuniform graded meshes. Key words. Delaunay triangulation, mesh generation, parallel refinement AMS subject classifications. 65D18, 68W05, 68W10, 68N19 1. Introduction. There
Milena: Write Generic Morphological Algorithms Once, Run on Many Kinds of Images
"... Abstract. We present a programming framework for discrete mathematical morphology centered on the concept of genericity. We show that formal definitions of morphological algorithms can be translated into actual code, usable on virtually any kind of compatible images, provided a general definition of ..."
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Cited by 3 (3 self)
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Abstract. We present a programming framework for discrete mathematical morphology centered on the concept of genericity. We show that formal definitions of morphological algorithms can be translated into actual code, usable on virtually any kind of compatible images, provided a general definition of the concept of image is given. This work is implemented in Milena, a generic, efficient, and user-friendly image processing library 3 1

