The paper deals with parallel approach for the numerical solution of large, sparse, non-symmetric systems of linear equations, that can be part of any finite element software. In this contribution, the differences between the sequential and parallel solution are highlighted and the approach to efficiently interface with distributed memory version of SuperLU solver is described
The parallel linear equations solver capable of effectively using 1000þ processors becomes the bottl...
International audienceIn this talk we will discuss the current and future research activities on the...
The aim of this paper is to evaluate the performance of existing parallel linear equation solvers to...
The paper deals with parallel approach for the numerical solution of large, sparse, non-symmetric sy...
In this paper, we present the main algorithmic features in the software package SuperLU DIST, a dis...
In this review paper, we consider some important developments and trends in algorithm design for t...
The need to solve large sparse linear systems of equations efficiently lies at the heart of many app...
The solution of large sparse linear systems is often the most time-consuming part of many science an...
The solution of large sparse linear systems is often the most time-consuming part of many science an...
Abstract- The basic problems in developing parallel direct solvers of sparse systems of linear equat...
This paper provides a comprehensive study and comparison of two state-of-the-art direct solvers for ...
This paper presents a comparative study on two different direct parallel solution strategies for the...
In this paper, we present the main algorithmic features in the software package SuperLU_DIST, a dis...
. The efficiency of solving sparse linear systems on parallel processors and more complex multiclust...
In this paper, we present the main algorithmic features in the software package SuperLU{_}DIST, a di...
The parallel linear equations solver capable of effectively using 1000þ processors becomes the bottl...
International audienceIn this talk we will discuss the current and future research activities on the...
The aim of this paper is to evaluate the performance of existing parallel linear equation solvers to...
The paper deals with parallel approach for the numerical solution of large, sparse, non-symmetric sy...
In this paper, we present the main algorithmic features in the software package SuperLU DIST, a dis...
In this review paper, we consider some important developments and trends in algorithm design for t...
The need to solve large sparse linear systems of equations efficiently lies at the heart of many app...
The solution of large sparse linear systems is often the most time-consuming part of many science an...
The solution of large sparse linear systems is often the most time-consuming part of many science an...
Abstract- The basic problems in developing parallel direct solvers of sparse systems of linear equat...
This paper provides a comprehensive study and comparison of two state-of-the-art direct solvers for ...
This paper presents a comparative study on two different direct parallel solution strategies for the...
In this paper, we present the main algorithmic features in the software package SuperLU_DIST, a dis...
. The efficiency of solving sparse linear systems on parallel processors and more complex multiclust...
In this paper, we present the main algorithmic features in the software package SuperLU{_}DIST, a di...
The parallel linear equations solver capable of effectively using 1000þ processors becomes the bottl...
International audienceIn this talk we will discuss the current and future research activities on the...
The aim of this paper is to evaluate the performance of existing parallel linear equation solvers to...