The multigrid algorithm is a fast and efficient (in fact provably optimal) method for solving a wide class of integral and partial differential equations. In addition, it is a natural choice for implementation on parallel computers because of the parallelism inherent in the algorithm. Over the past several years, there has been increasing research into parallel multigrid algorithms, ranging from purely theoretical studies to actual codes running on real parallel computers, some built with multigrid algorithms in mind. It is our goal in this paper to provide a brief but structured account of this field of research
The scalable implementation of multigrid methods for machines with several thousands of processors i...
Reproduced by courtesy of Springer-Verlag form Lecture Notes Volume 960 'Multigrid Methods'; With 11...
A number of experimental implementations of the multigrid algorithm for the solution of systems of p...
Summary. Multigrid methods are among the fastest numerical algorithms for the solution of large spar...
This paper surveys the techniques that are necessary for constructing compu-tationally ecient parall...
Multigrid technique is a mathematical method which when13; implemented for the numerical solution of...
Multigrid technique is a mathematical method which when13; implemented for the numerical solution of...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
Multigrid presents both an elementary introduction to multigrid methods for solving partial differen...
Numerical solutions of partial differential equations (pde\u27s) are required in many physical probl...
Numerical solutions of partial differential equations (pde\u27s) are required in many physical probl...
The halfsweep multigrid algorithm, introduced by Othman et al in 1998 for solving a linear system, i...
Abstract: Multigrid method is widely used for computations of diffusion, fluid dynamics, e...
The halfsweep multigrid algorithm, introduced by Othman et al in 1998 for solving a linear system, i...
The scalable implementation of multigrid methods for machines with several thousands of processors i...
Reproduced by courtesy of Springer-Verlag form Lecture Notes Volume 960 'Multigrid Methods'; With 11...
A number of experimental implementations of the multigrid algorithm for the solution of systems of p...
Summary. Multigrid methods are among the fastest numerical algorithms for the solution of large spar...
This paper surveys the techniques that are necessary for constructing compu-tationally ecient parall...
Multigrid technique is a mathematical method which when13; implemented for the numerical solution of...
Multigrid technique is a mathematical method which when13; implemented for the numerical solution of...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
Multigrid presents both an elementary introduction to multigrid methods for solving partial differen...
Numerical solutions of partial differential equations (pde\u27s) are required in many physical probl...
Numerical solutions of partial differential equations (pde\u27s) are required in many physical probl...
The halfsweep multigrid algorithm, introduced by Othman et al in 1998 for solving a linear system, i...
Abstract: Multigrid method is widely used for computations of diffusion, fluid dynamics, e...
The halfsweep multigrid algorithm, introduced by Othman et al in 1998 for solving a linear system, i...
The scalable implementation of multigrid methods for machines with several thousands of processors i...
Reproduced by courtesy of Springer-Verlag form Lecture Notes Volume 960 'Multigrid Methods'; With 11...
A number of experimental implementations of the multigrid algorithm for the solution of systems of p...
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