Increasingly large scale computations are using unstructured discrete computational grids. A typical example is unstructured grid calculations based on finite volume methods (FVM) in computational fluid dynamics (CFD). One of the efficient ways to deal with such large scale problems is parallelization. The present paper will focus on domain/mesh decomposition. This is the first step for distributing unstructured computational domains on a MIMD-type parallel computer system. A graph theory framework for this problem will be constructed. Based on the framework three domain decomposition algorithms: recursive coordinate bisection (RCB), recursive angular bisection (RAB) and recursive graph bisection (RGB), will be introduced, tested an...
Most finite element methods used nowadays utilize unstructured meshes. These meshes are often very l...
. Domain decomposition methods for Finite Element problems using a partition based on the underlying...
The ultimate goal of this study is to develop a 'tool' by which large-scale unstructured grids for r...
The divide-and-conquer paradigm of iterative domain decomposition, or substructuring, has become a p...
Desire to model in ever increasing detail geometrical and physical features has lead to a steady inc...
Mesh partitioning is often the preferred approach for solving unstructured computational mechanics p...
The desire to simulate more and more geometrical and physical features of technical structures and t...
We address the problem of automatic partitioning of unstructured finite element meshes in the contex...
A framework for parallel unstructured grid generation targeting both shared memory multi-processors ...
Abstract. The desire to simulate more and more geometrical and physical features of technical struct...
A new method is described for optimising graph partitions which arise in mapping unstructured mesh ...
The domain decomposition method embodies large potentials for a parallelization of FEM methods. In t...
Large-scale parallel numerical simulations are fundamental for the understanding of a wide variety o...
AbstractDomain decomposition methods are commonly employed within the context of parallel numerical ...
© 2018 Elsevier Ltd A parallel algorithm is proposed for scalable generation of large-scale tetrahed...
Most finite element methods used nowadays utilize unstructured meshes. These meshes are often very l...
. Domain decomposition methods for Finite Element problems using a partition based on the underlying...
The ultimate goal of this study is to develop a 'tool' by which large-scale unstructured grids for r...
The divide-and-conquer paradigm of iterative domain decomposition, or substructuring, has become a p...
Desire to model in ever increasing detail geometrical and physical features has lead to a steady inc...
Mesh partitioning is often the preferred approach for solving unstructured computational mechanics p...
The desire to simulate more and more geometrical and physical features of technical structures and t...
We address the problem of automatic partitioning of unstructured finite element meshes in the contex...
A framework for parallel unstructured grid generation targeting both shared memory multi-processors ...
Abstract. The desire to simulate more and more geometrical and physical features of technical struct...
A new method is described for optimising graph partitions which arise in mapping unstructured mesh ...
The domain decomposition method embodies large potentials for a parallelization of FEM methods. In t...
Large-scale parallel numerical simulations are fundamental for the understanding of a wide variety o...
AbstractDomain decomposition methods are commonly employed within the context of parallel numerical ...
© 2018 Elsevier Ltd A parallel algorithm is proposed for scalable generation of large-scale tetrahed...
Most finite element methods used nowadays utilize unstructured meshes. These meshes are often very l...
. Domain decomposition methods for Finite Element problems using a partition based on the underlying...
The ultimate goal of this study is to develop a 'tool' by which large-scale unstructured grids for r...