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 processors) can lead to a superconvergent algorithm. The purpose of this work is to show that the parellel superconvergent multigrid (PSMG) algorithm of Frederickson and McBryan, though it achieves perfect processor utilization, is no more efficient than a parallel implementation of standard multigrid methods. PSMG is simply a new and perhaps simpler way of achieving the same results
Multigrid methods play an important role in the numerical approximation of partial differential equa...
This paper describes the performance of a multigrid method implemented on a transputer-based archite...
In parallel computing, scalability is an important issue and getting linear speed-ups is difficult f...
'To take full advantage of the parallelism in a standard multigrid algorithm requires as many p...
The parallel multigrid algorithm of Frederickson and McBryan (1987) is considered. This algorithm us...
The convergence rate of standard multigrid algorithms degenerates on problems with stretched grids o...
Four totally parallel algorithms for the solution of a sparse linear system have common characterist...
We study the potential performance of multigrid algorithms running on massively parallel computers w...
Efficient solution of partial differential equations require a match between the algorithm and the t...
Efficient solution of partial differential equations require a match between the algorithm and the t...
Multigrid algorithms are widely used to solve large-scale sparse linear systems, which is essential ...
Summary. Multigrid methods are among the fastest numerical algorithms for the solution of large spar...
Numerical solutions of partial differential equations (pde\u27s) are required in many physical probl...
160 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.The experimental results moti...
Abstract: Making multigrid algorithms run efficiently on large parallel computers is a challenge. Wi...
Multigrid methods play an important role in the numerical approximation of partial differential equa...
This paper describes the performance of a multigrid method implemented on a transputer-based archite...
In parallel computing, scalability is an important issue and getting linear speed-ups is difficult f...
'To take full advantage of the parallelism in a standard multigrid algorithm requires as many p...
The parallel multigrid algorithm of Frederickson and McBryan (1987) is considered. This algorithm us...
The convergence rate of standard multigrid algorithms degenerates on problems with stretched grids o...
Four totally parallel algorithms for the solution of a sparse linear system have common characterist...
We study the potential performance of multigrid algorithms running on massively parallel computers w...
Efficient solution of partial differential equations require a match between the algorithm and the t...
Efficient solution of partial differential equations require a match between the algorithm and the t...
Multigrid algorithms are widely used to solve large-scale sparse linear systems, which is essential ...
Summary. Multigrid methods are among the fastest numerical algorithms for the solution of large spar...
Numerical solutions of partial differential equations (pde\u27s) are required in many physical probl...
160 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.The experimental results moti...
Abstract: Making multigrid algorithms run efficiently on large parallel computers is a challenge. Wi...
Multigrid methods play an important role in the numerical approximation of partial differential equa...
This paper describes the performance of a multigrid method implemented on a transputer-based archite...
In parallel computing, scalability is an important issue and getting linear speed-ups is difficult f...