Solvers for elliptic partial differential equations are needed in a wide area of scientific applications. We will present a highly parallel CPU and GPU implementation of a conjugate gradient solver with an algebraic multigrid pre-conditioner in a package called Parallel Toolbox. The solvers operates on fully unstructured discretizations of the PDE. The algorithmic specialities are investigated with respect to many-core architectures and the code is applied to one current application. Benchmark results of computations on clusters of CPUs and GPUs will be presented. They will show that a linear equation system with 25million unknowns can be solved in about 1 second
For the solution of discretized ordinary or partial differential equations it is necessary to solve ...
Abstract: Making multigrid algorithms run efficiently on large parallel computers is a challenge. Wi...
...-I I for public release and 'sa le;its " La _ L ditribution is unlimited. DEPARMENTOF C...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
The paper considers the parallel implementation of an algebraic multigrid method. The sequential ver...
A parallel multigrid method for the resolution of elliptic partial differential equations has been i...
INTRODUCTION We consider partial differential equations, e.g. an elliptic scalar differential equat...
In this paper, we present a robust and efficient algebraic multigrid preconditioned conjugate gradie...
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
The paper maps the possibilities of exploitation of the massive parallel computational hardware (na...
The algebraic multigrid (AMG) approach provides a purely algebraic means to tackle the efficient sol...
The multigrid algorithm is a fast and efficient (in fact provably optimal) method for solving a wide...
Abstract. We design and implement a parallel algebraic multigrid method for isotropic graph Laplacia...
We present an efficient, robust and fully GPU-accelerated aggregation-based al-gebraic multigrid pre...
. The implementation and performance of algorithms for the solution of elliptic problems on the Ceda...
For the solution of discretized ordinary or partial differential equations it is necessary to solve ...
Abstract: Making multigrid algorithms run efficiently on large parallel computers is a challenge. Wi...
...-I I for public release and 'sa le;its " La _ L ditribution is unlimited. DEPARMENTOF C...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
The paper considers the parallel implementation of an algebraic multigrid method. The sequential ver...
A parallel multigrid method for the resolution of elliptic partial differential equations has been i...
INTRODUCTION We consider partial differential equations, e.g. an elliptic scalar differential equat...
In this paper, we present a robust and efficient algebraic multigrid preconditioned conjugate gradie...
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
The paper maps the possibilities of exploitation of the massive parallel computational hardware (na...
The algebraic multigrid (AMG) approach provides a purely algebraic means to tackle the efficient sol...
The multigrid algorithm is a fast and efficient (in fact provably optimal) method for solving a wide...
Abstract. We design and implement a parallel algebraic multigrid method for isotropic graph Laplacia...
We present an efficient, robust and fully GPU-accelerated aggregation-based al-gebraic multigrid pre...
. The implementation and performance of algorithms for the solution of elliptic problems on the Ceda...
For the solution of discretized ordinary or partial differential equations it is necessary to solve ...
Abstract: Making multigrid algorithms run efficiently on large parallel computers is a challenge. Wi...
...-I I for public release and 'sa le;its " La _ L ditribution is unlimited. DEPARMENTOF C...