The influence of multi-core central processing units and graphics processing units on several algebraic multigrid methods is investigated in this work. Different performance metrics traditionally employed for algebraic multigrid are re-considered and reevaluated on these novel computing archi-tectures. Our benchmark results show that with the use of graphics processing units for the solver phase, it is crucial to keep algebraic multigrid setup low, even if this leads to a higher number of solver iterations. 1
The efficient utilization of parallel computational capabilities of modern hardware architecture is ...
Solvers for elliptic partial differential equations are needed in a wide area of scientific applicat...
This paper deals with the implementation and performance analysis of a parallel Algebraic Multigrid ...
In this work we focus on the application phase of AMG preconditioners, and in particular on the choi...
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...
We study the performance of a two-level algebraic-multigrid algorithm, with a focus on the impact of...
Algebraic Multigrid (AMG) solvers are an essential component of many large-scale scientific simulati...
We describe main issues and design principles of an efficient implementation, tailored to recent gen...
AbstractThe performance of algebraic multigrid (AMG) algorithms, implemented in 4-byte floating poin...
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
The development of high performance, massively parallel computers and the increasing demands of comp...
We explore a GPU implementation of a Krylov-accelerated algebraic multigrid (AMG) algorithm with fle...
Algebraic multigrid (AMG) is a popular solver for large-scale scientific computing and an essential ...
The efficient utilization of parallel computational capabilities of modern hardware architecture is ...
Solvers for elliptic partial differential equations are needed in a wide area of scientific applicat...
This paper deals with the implementation and performance analysis of a parallel Algebraic Multigrid ...
In this work we focus on the application phase of AMG preconditioners, and in particular on the choi...
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...
We study the performance of a two-level algebraic-multigrid algorithm, with a focus on the impact of...
Algebraic Multigrid (AMG) solvers are an essential component of many large-scale scientific simulati...
We describe main issues and design principles of an efficient implementation, tailored to recent gen...
AbstractThe performance of algebraic multigrid (AMG) algorithms, implemented in 4-byte floating poin...
Abstract. Fast, robust and efficient multigrid solvers are a key numer-ical tool in the solution of ...
The development of high performance, massively parallel computers and the increasing demands of comp...
We explore a GPU implementation of a Krylov-accelerated algebraic multigrid (AMG) algorithm with fle...
Algebraic multigrid (AMG) is a popular solver for large-scale scientific computing and an essential ...
The efficient utilization of parallel computational capabilities of modern hardware architecture is ...
Solvers for elliptic partial differential equations are needed in a wide area of scientific applicat...
This paper deals with the implementation and performance analysis of a parallel Algebraic Multigrid ...