We describe main issues and design principles of an efficient implementation, tailored to recent generations of Nvidia Graphics Processing Units (GPUs), of an Algebraic Multigrid (AMG) preconditioner previously proposed by one of the authors and already available in the open-source package BootCMatch: Bootstrap algebraic multigrid based on Compatible weighted Matching for standard CPUs.This work has been partially supported by the EC under the Horizon 2020 Project Energy Oriented Center of Excellence (EoCoE II): Toward Exascale for Energy, Project ID: 82415
This is an original software publication. The software is certified by Ocean Code and is freely avai...
This article has two main objectives: one is to describe some extensions of an adaptive Algebraic Mu...
Multigrid methods are well suited to large massively parallel computer architectures because they ar...
We describe main issues and design principles of an efficient implementation, tailored to recent gen...
In this work we focus on the application phase of AMG preconditioners, and in particular on the choi...
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 ...
This article has two main objectives: one is to describe some extensions of an adaptive Algebraic Mu...
We explore a GPU implementation of a Krylov-accelerated algebraic multigrid (AMG) algorithm with fle...
In this paper, we develop a new parallel auxiliary grid algebraic multigrid (AMG) method to leverage...
AbstractCurrent trends in high performance computing (HPC) are advancing towards the use of graphics...
Algebraic multigrid (AMG) is a popular solver for large-scale scientific computing and an essential ...
Algebraic Multigrid (AMG) solvers are an essential component of many large-scale scientific simulati...
The influence of multi-core central processing units and graphics processing units on several algebr...
⊲ Introduction to Markov chains ⊲ Problem setting and solution approaches ⊲ Introduction to algebrai...
This is an original software publication. The software is certified by Ocean Code and is freely avai...
This article has two main objectives: one is to describe some extensions of an adaptive Algebraic Mu...
Multigrid methods are well suited to large massively parallel computer architectures because they ar...
We describe main issues and design principles of an efficient implementation, tailored to recent gen...
In this work we focus on the application phase of AMG preconditioners, and in particular on the choi...
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 ...
This article has two main objectives: one is to describe some extensions of an adaptive Algebraic Mu...
We explore a GPU implementation of a Krylov-accelerated algebraic multigrid (AMG) algorithm with fle...
In this paper, we develop a new parallel auxiliary grid algebraic multigrid (AMG) method to leverage...
AbstractCurrent trends in high performance computing (HPC) are advancing towards the use of graphics...
Algebraic multigrid (AMG) is a popular solver for large-scale scientific computing and an essential ...
Algebraic Multigrid (AMG) solvers are an essential component of many large-scale scientific simulati...
The influence of multi-core central processing units and graphics processing units on several algebr...
⊲ Introduction to Markov chains ⊲ Problem setting and solution approaches ⊲ Introduction to algebrai...
This is an original software publication. The software is certified by Ocean Code and is freely avai...
This article has two main objectives: one is to describe some extensions of an adaptive Algebraic Mu...
Multigrid methods are well suited to large massively parallel computer architectures because they ar...