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Abstract. The most common technique for the parallelization of multi- grid methods is grid partitioning. For such methods Brandt and Diskin.
Typically, multigrid algorithms require O((log P)^2) communication steps in order to solve a PDE problem to the level of discretization accuracy, where P is the ...
A parallel multigrid method with this technique avoids all communication on the finest grid levels. This article will examine some features of this class of ...
A parallel multigrid method with this technique avoids all communication on the finest grid levels. This article will examine some features of this class of ...
A parallel multigrid method with this technique avoids all communication on the finest grid levels. This article will examine some features of this class of ...
A parallel multigrid method with this technique avoids all communication on the finest grid levels. This article will examine some features of this class of ...
Abstract—Algebraic multigrid is an optimal sparse linear solver that suffers from poor parallel scalability due to large communication requirements.
This article will examine some features of this class of algorithms as compared to standard parallel multigrid methods, and the communication pattern will ...
High-energy error is reduced by relaxation, while low-energy error is mapped to coarse-grids and reduced there. However, large parallel communication costs ...
Jun 25, 2019 · The goal of AMG-DD is to provide a low-communication alternative to standard AMG V-cycles by trading some additional computational overhead for ...