A parallel method for the dynamic partitioning of unstructured meshes is described. The method introduces a new iterative optimisation technique known as relative gain optimisation which both balances the workload and attempts to minimise the interprocessor communications overhead. Experiments on a series of adaptively refined meshes indicate that the algorithm provides partitions of an equivalent or higher quality to static partitioners (which do not reuse the existing partition) and much more rapidly. Perhaps more importantly, the algorithm results in only a small fraction of the amount of data migration compared to the static partitioners
Multilevel algorithms are a successful class of optimisation techniques which address the mesh parti...
The efficient solution of many large-scale scientific calculations depends on unstructured mesh stra...
To increase the speed of computer simulations we solve partial differential equations (PDEs) using s...
A method is outlined for optimising graph partitions which arise in mapping un- structured mesh calc...
A parallel method for dynamic partitioning of unstructured meshes is described. The method employs a...
A parallel method for the dynamic partitioning of unstructured meshes is outlined. The method includ...
A new method is described for optimising graph partitions which arise in mapping unstructured mesh ...
A method is outlined for optimising graph partitions which arise in mapping unstructured mesh calcul...
A parallel method for the dynamic partitioning of unstructured meshes is described. The method intro...
This chapter describes a parallel optimization technique that incorporates a distributed load-balanc...
A parallel method for dynamic partitioning of unstructured meshes is described. The metho
dient of our method is a technique for the estimation of the size and the element distribution of th...
Graph partitioning has been shown to be an effective way to divide a large computation over an arbit...
This paper presents a parallel remeshing algorithm for distributed-memory architectures. It is an it...
Graph partitioning is a fundamental problem in many scientific contexts. Algorithms that find a good...
Multilevel algorithms are a successful class of optimisation techniques which address the mesh parti...
The efficient solution of many large-scale scientific calculations depends on unstructured mesh stra...
To increase the speed of computer simulations we solve partial differential equations (PDEs) using s...
A method is outlined for optimising graph partitions which arise in mapping un- structured mesh calc...
A parallel method for dynamic partitioning of unstructured meshes is described. The method employs a...
A parallel method for the dynamic partitioning of unstructured meshes is outlined. The method includ...
A new method is described for optimising graph partitions which arise in mapping unstructured mesh ...
A method is outlined for optimising graph partitions which arise in mapping unstructured mesh calcul...
A parallel method for the dynamic partitioning of unstructured meshes is described. The method intro...
This chapter describes a parallel optimization technique that incorporates a distributed load-balanc...
A parallel method for dynamic partitioning of unstructured meshes is described. The metho
dient of our method is a technique for the estimation of the size and the element distribution of th...
Graph partitioning has been shown to be an effective way to divide a large computation over an arbit...
This paper presents a parallel remeshing algorithm for distributed-memory architectures. It is an it...
Graph partitioning is a fundamental problem in many scientific contexts. Algorithms that find a good...
Multilevel algorithms are a successful class of optimisation techniques which address the mesh parti...
The efficient solution of many large-scale scientific calculations depends on unstructured mesh stra...
To increase the speed of computer simulations we solve partial differential equations (PDEs) using s...