Partitioning of unstructured meshes for load balancing

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Partitioning of unstructured meshes for load balancing

Many large-scale engineering and scientiic calculations involve repeated updating of variables on an unstructured mesh. To do these types of computations on distributed memory parallel computers, it is necessary to partition the mesh among the processors so that the load balance is maximized and inter-processor communication time is minimized. This can be approximated by the problem of partitio...

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Mesh adaption is a powerful tool for eecient unstructured-grid computations but causes load imbalance among processors on a parallel machine. We present a novel method called PLUM to dynamically balance the processor workloads with a global view. This paper describes the implementation and integration of all major components within our dynamic load balancing strategy for adaptive grid calculati...

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PLUM: Parallel Load Balancing for Unstructured Adaptive Meshes

Dynamic mesh adaption on unstructured grids is a powerful tool for computing large-scale problems that require grid modifications to efficiently resolve solution features. Unfortunately, an efficient parallel implementation is difficult to achieve, primarily due to the load imbalance created by the dynamically-changing nonuniform grid. To address this problem, we have developed PLUM, an automat...

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Dynamic Load-Balancing For PDE Solvers Using Adaptive Unstructured Meshes

Modern PDE solvers written for time-dependent problems increasingly employ adaptive unstructured meshes (see Flaherty et al. [4]) in order to both increase e ciency and control the numerical error. If a distributed memory parallel computer is to be used, there arises the signi cant problem of dividing up the domain equally amongst the processors whilst minimising the intersubdomain dependencies...

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Dynamic load-balancing for PDE solvers on adaptive unstructured meshes

Modern PDE solvers written for time-dependent problems increasingly employ adaptive unstructured meshes (see Flaherty et al. [4]) in order to both increase e ciency and control the numerical error. If a distributed memory parallel computer is to be used, there arises the signi cant problem of dividing up the domain equally amongst the processors whilst minimising the intersubdomain dependencies...

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ژورنال

عنوان ژورنال: Concurrency: Practice and Experience

سال: 1995

ISSN: 1040-3108,1096-9128

DOI: 10.1002/cpe.4330070404