Domain decomposition methods are a valuable approach when solving partial differential equation (PDE) problems on parallel computers. In this paper, we focus our attention onto parallelization strategies for these numerical methods when dealing with irregular applica-tions, more specifically when adaptive refinement techniques [Ver96] are applied to PD
ABSTRACT. We consider a class of adaptive multilevel domain decomposition-like al-gorithms, built fr...
A relatively new field, domain composition methods draw on parallel computing techniques and are pro...
Abstract. We present two parallel multilevel methods for solving large-scale discretized partial dif...
INTRODUCTION We consider partial differential equations, e.g. an elliptic scalar differential equat...
Numerical simulation applications requiring the resolution of Partial Differential Equation (PDE) pr...
The purpose of this book is to offer an overview of the most popular domain decomposition methods fo...
We present a multithreaded model for the dynamic load-balancing of numerical, adaptive computations ...
SIGLEAvailable from British Library Document Supply Centre-DSC:7769.555(2000/11) / BLDSC - British L...
Computer simulations that solve partial differential equations (PDEs) are common in many fields of s...
This paper examines the potential of parallel computation methods for partial differential equations...
MasterThe purpose of this text is to offer an overview of the most popular domain decomposition meth...
In this paper we review several methods for solving large sparse linear systems arising from discret...
The focus of the subject DOE sponsored research concerns parallel methods, algorithms, and software ...
Abstract. We describe a domain decomposition (DD) algorithm for use in the parallel adaptive meshing...
This paper examines the potential of parallel computation methods for pamal differential equations (...
ABSTRACT. We consider a class of adaptive multilevel domain decomposition-like al-gorithms, built fr...
A relatively new field, domain composition methods draw on parallel computing techniques and are pro...
Abstract. We present two parallel multilevel methods for solving large-scale discretized partial dif...
INTRODUCTION We consider partial differential equations, e.g. an elliptic scalar differential equat...
Numerical simulation applications requiring the resolution of Partial Differential Equation (PDE) pr...
The purpose of this book is to offer an overview of the most popular domain decomposition methods fo...
We present a multithreaded model for the dynamic load-balancing of numerical, adaptive computations ...
SIGLEAvailable from British Library Document Supply Centre-DSC:7769.555(2000/11) / BLDSC - British L...
Computer simulations that solve partial differential equations (PDEs) are common in many fields of s...
This paper examines the potential of parallel computation methods for partial differential equations...
MasterThe purpose of this text is to offer an overview of the most popular domain decomposition meth...
In this paper we review several methods for solving large sparse linear systems arising from discret...
The focus of the subject DOE sponsored research concerns parallel methods, algorithms, and software ...
Abstract. We describe a domain decomposition (DD) algorithm for use in the parallel adaptive meshing...
This paper examines the potential of parallel computation methods for pamal differential equations (...
ABSTRACT. We consider a class of adaptive multilevel domain decomposition-like al-gorithms, built fr...
A relatively new field, domain composition methods draw on parallel computing techniques and are pro...
Abstract. We present two parallel multilevel methods for solving large-scale discretized partial dif...