This thesis introduces the AscAMG preconditioner, a parallel Algebraic Multigrid Preconditioner for scalar, elliptic H1-problems that has been developed for NGSolve. The method gets is name from an alternative way to define strong connections that is based on a replacement matrix. This leads directly to a new variation of the smoothed prolongation method commonly found in aggregation based Multigrid solvers. The parallelization of the method is described in detail and scalable smoothers are found and discussed. After demonstrating the scalability of the method to at least 1800 cores with numerical results, conclusions are drawn and an outlook on possible future developments of the method is given
A major challenge in undertaking high resolution numerical simulations for engineering problems come...
AbstractThe report presents some results in solving finite element equations via a parallel version ...
Algebraic multigrid solvers and preconditioners are level of the art solution techniques for many t...
In this work we focus on the application phase of AMG preconditioners, and in particular on the choi...
We present an efficient, robust and fully GPU-accelerated aggregation-based al-gebraic multigrid pre...
Fully implicit petroleum reservoir simulations result in huge, often very ill-conditioned linear sys...
The development of high performance, massively parallel computers and the increasing demands of comp...
Linear solvers for large and sparse systems are a key element of scientific applications, and their ...
Linear solvers for large and sparse systems are a key element of scientific applications, and their ...
Abstract. We discuss advantages of using algebraic mul-tigrid based on smoothed aggregation for solv...
We present an elaborate preconditioning scheme for Krylov subspace methods which has been developed ...
The algebraic multigrid (AMG) approach provides a purely algebraic means to tackle the efficient sol...
Algebraic multigrid methods offer the hope that multigrid convergence can be achieved (for at least ...
Multigrid methods are well suited to large massively parallel computer architectures because they ar...
The paper proposes a combination of the subdomain deflation method and local algebraic multigrid as ...
A major challenge in undertaking high resolution numerical simulations for engineering problems come...
AbstractThe report presents some results in solving finite element equations via a parallel version ...
Algebraic multigrid solvers and preconditioners are level of the art solution techniques for many t...
In this work we focus on the application phase of AMG preconditioners, and in particular on the choi...
We present an efficient, robust and fully GPU-accelerated aggregation-based al-gebraic multigrid pre...
Fully implicit petroleum reservoir simulations result in huge, often very ill-conditioned linear sys...
The development of high performance, massively parallel computers and the increasing demands of comp...
Linear solvers for large and sparse systems are a key element of scientific applications, and their ...
Linear solvers for large and sparse systems are a key element of scientific applications, and their ...
Abstract. We discuss advantages of using algebraic mul-tigrid based on smoothed aggregation for solv...
We present an elaborate preconditioning scheme for Krylov subspace methods which has been developed ...
The algebraic multigrid (AMG) approach provides a purely algebraic means to tackle the efficient sol...
Algebraic multigrid methods offer the hope that multigrid convergence can be achieved (for at least ...
Multigrid methods are well suited to large massively parallel computer architectures because they ar...
The paper proposes a combination of the subdomain deflation method and local algebraic multigrid as ...
A major challenge in undertaking high resolution numerical simulations for engineering problems come...
AbstractThe report presents some results in solving finite element equations via a parallel version ...
Algebraic multigrid solvers and preconditioners are level of the art solution techniques for many t...