Add to ORKGIn this paper, we make efficient use of pipelining on LU decomposition with pivoting and a column-scattered data decomposition to derive precise variations of the computational complexities. We then compare these results with experiments on the Intel iPSC/860 and Paragon machines
We investigate performance characteristics for the LU factorization of large matrices with various ...
LU decomposition is intensively used in various scientific and engineering computations. A parallel ...
The LU factorization is an important numerical algorithm for solving systems of linear equations in ...
In this paper, we make efficient use of asynchronous communications on the LU decomposition algorit...
This paper considers key ideas in the design of out-of-core dense LU factorization routines. A left...
This paper presents some works on the LU factorization from the ScaLAPACK library. First, a complexi...
AbstractThis paper considers key ideas in the design of out-of-core dense LU factorization routines....
On multicomputers the partial pivoting phase of the LU factorization has a peculiar load unbalancing...
We present a new concurrent LU‐decomposition algorithm based on implicit pivoting of both rows and c...
We present an out-of-core sparse nonsymmetric LU-factorization algorithm with partial pivoting. We h...
Abstract—LU factorization with partial pivoting is a canonical numerical procedure and the main comp...
The paper proposes an analytical model for estimating the performance of Pipelined Ring algorithm fo...
We investigate performance characteristics for the LU factorization of large matrices with various s...
The number of cores in multicore computers has an irreversible tendency to increase. Also, computers...
The LU factorization is an important numerical algorithm for solving systems of linear equations in ...
We investigate performance characteristics for the LU factorization of large matrices with various ...
LU decomposition is intensively used in various scientific and engineering computations. A parallel ...
The LU factorization is an important numerical algorithm for solving systems of linear equations in ...
In this paper, we make efficient use of asynchronous communications on the LU decomposition algorit...
This paper considers key ideas in the design of out-of-core dense LU factorization routines. A left...
This paper presents some works on the LU factorization from the ScaLAPACK library. First, a complexi...
AbstractThis paper considers key ideas in the design of out-of-core dense LU factorization routines....
On multicomputers the partial pivoting phase of the LU factorization has a peculiar load unbalancing...
We present a new concurrent LU‐decomposition algorithm based on implicit pivoting of both rows and c...
We present an out-of-core sparse nonsymmetric LU-factorization algorithm with partial pivoting. We h...
Abstract—LU factorization with partial pivoting is a canonical numerical procedure and the main comp...
The paper proposes an analytical model for estimating the performance of Pipelined Ring algorithm fo...
We investigate performance characteristics for the LU factorization of large matrices with various s...
The number of cores in multicore computers has an irreversible tendency to increase. Also, computers...
The LU factorization is an important numerical algorithm for solving systems of linear equations in ...
We investigate performance characteristics for the LU factorization of large matrices with various ...
LU decomposition is intensively used in various scientific and engineering computations. A parallel ...
The LU factorization is an important numerical algorithm for solving systems of linear equations in ...