'To take full advantage of the parallelism in a standard multigrid algorithm requires as many processors as points. However, since coarse grids contain fewer points, most processors are idle during the coarse grid iterations. Frederickson and McBryan claim that retaining all points on all grid levels (using all pro-cessors) can lead to a 'superconvergent ' algorithm. Has the 'parallel supercon-vergent ' multigrid algorithm, PSMG, of Frederickson and McBryan solved the problem of implementing multigrid on a massively parallel SIMD architecture? How much can be gained by retaining all points on all grid levels, keeping all processors busy? The purpose of this work is to show that the PSMG algorithm, though it achieves...
From careful observations, scientists derive rules to describe phenomena in nature. These rules are ...
Many current computer designs employ caches and a hierarchical memory architecture. The speed of a c...
A major challenge in undertaking high resolution numerical simulations for engineering problems come...
To take full advantage of the parallelism in a standard multigrid algorithm requires as many process...
The scalable implementation of multigrid methods for machines with several thousands of processors i...
We study the potential performance of multigrid algorithms running on massively parallel computers w...
Abstract: Making multigrid algorithms run efficiently on large parallel computers is a challenge. Wi...
Efficient solution of partial differential equations require a match between the algorithm and the t...
The convergence rate of standard multigrid algorithms degenerates on problems with stretched grids o...
Efficient solution of partial differential equations require a match between the algorithm and the t...
Summary. Multigrid methods are among the fastest numerical algorithms for the solution of large spar...
The parallel multigrid algorithm of Frederickson and McBryan (1987) is considered. This algorithm us...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
Four totally parallel algorithms for the solution of a sparse linear system have common characterist...
Programming for parallel systems and in particular, multicomputers, is still uncomfortable and ineff...
From careful observations, scientists derive rules to describe phenomena in nature. These rules are ...
Many current computer designs employ caches and a hierarchical memory architecture. The speed of a c...
A major challenge in undertaking high resolution numerical simulations for engineering problems come...
To take full advantage of the parallelism in a standard multigrid algorithm requires as many process...
The scalable implementation of multigrid methods for machines with several thousands of processors i...
We study the potential performance of multigrid algorithms running on massively parallel computers w...
Abstract: Making multigrid algorithms run efficiently on large parallel computers is a challenge. Wi...
Efficient solution of partial differential equations require a match between the algorithm and the t...
The convergence rate of standard multigrid algorithms degenerates on problems with stretched grids o...
Efficient solution of partial differential equations require a match between the algorithm and the t...
Summary. Multigrid methods are among the fastest numerical algorithms for the solution of large spar...
The parallel multigrid algorithm of Frederickson and McBryan (1987) is considered. This algorithm us...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
Four totally parallel algorithms for the solution of a sparse linear system have common characterist...
Programming for parallel systems and in particular, multicomputers, is still uncomfortable and ineff...
From careful observations, scientists derive rules to describe phenomena in nature. These rules are ...
Many current computer designs employ caches and a hierarchical memory architecture. The speed of a c...
A major challenge in undertaking high resolution numerical simulations for engineering problems come...