The efficient utilization of parallel computational capabilities of modern hardware architecture is a must in large scale industrial applications. In this paper we focus on the parallelization of algebraic multigrid (AMG) in general and identify the respective challenges imposed on any hierarchical iterative linear solver. Moreover, we summarize the strategies employed in the parallel implementation of our SAMG library to cope with these issues and present some performance indicators of SAMG in real-world industrial applications
AbstractCurrent trends in high performance computing (HPC) are advancing towards the use of graphics...
Multigrid methods are well suited to large massively parallel computer architectures because they ar...
AbstractCurrent trends in high performance computing (HPC) are advancing towards the use of graphics...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
The algebraic multigrid (AMG) approach provides a purely algebraic means to tackle the efficient sol...
The Algebraic Multigrid (AMG) method has over the years developed into an ecient tool for solving un...
The algebraic multigrid (AMG) approach provides a purely algebraic means to tackle the efficient sol...
Algebraic Multigrid (AMG) solvers are an essential component of many large-scale scientific simulati...
The development of high performance, massively parallel computers and the increasing demands of comp...
Abstract: The major portion of computing time in a computational fluid dynamic (CFD) flow solver is ...
Algebraic multigrid (AMG) is a popular solver for large-scale scientific computing and an essential ...
In this paper, we develop a new parallel auxiliary grid algebraic multigrid (AMG) method to leverage...
This paper surveys the techniques that are necessary for constructing compu-tationally ecient parall...
This paper deals with the implementation and performance analysis of a parallel Algebraic Multigrid ...
AbstractCurrent trends in high performance computing (HPC) are advancing towards the use of graphics...
Multigrid methods are well suited to large massively parallel computer architectures because they ar...
AbstractCurrent trends in high performance computing (HPC) are advancing towards the use of graphics...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
Abstract. Algebraic multigrid methods for large, sparse linear systems are a necessity in many compu...
The algebraic multigrid (AMG) approach provides a purely algebraic means to tackle the efficient sol...
The Algebraic Multigrid (AMG) method has over the years developed into an ecient tool for solving un...
The algebraic multigrid (AMG) approach provides a purely algebraic means to tackle the efficient sol...
Algebraic Multigrid (AMG) solvers are an essential component of many large-scale scientific simulati...
The development of high performance, massively parallel computers and the increasing demands of comp...
Abstract: The major portion of computing time in a computational fluid dynamic (CFD) flow solver is ...
Algebraic multigrid (AMG) is a popular solver for large-scale scientific computing and an essential ...
In this paper, we develop a new parallel auxiliary grid algebraic multigrid (AMG) method to leverage...
This paper surveys the techniques that are necessary for constructing compu-tationally ecient parall...
This paper deals with the implementation and performance analysis of a parallel Algebraic Multigrid ...
AbstractCurrent trends in high performance computing (HPC) are advancing towards the use of graphics...
Multigrid methods are well suited to large massively parallel computer architectures because they ar...
AbstractCurrent trends in high performance computing (HPC) are advancing towards the use of graphics...