In this report we present a parallel implementation of the Gauss-Seidel algorithm on the Flosolver parallel computer. Our algorithm improves upon-the method currently being13; used in a running Flosolver application. The Gauss-Seidel method is inherently sequential but our parallel implementation attempts to overcome this limitation by distributing computations in a pipelined fashion. We have obtained good speedups on the Flosolver parallel computer. We present salient features of our parallel algorithm and performance results on 8 processors
AbstractIn this paper, a variant of Gaussian Elimination (GE) called Successive Gaussian Elimination...
The halfsweep multigrid algorithm, introduced by Othman et al in 1998 for solving a linear system, i...
The present report describes the design and development of the Flosolver series of parallel computer...
Gauss Seidel algorithm for solving iteratively system of equations is usually categorised as an intr...
W artykule przedstawiono przykładowe rezultaty analizy efektywności równoległych realizacji algorytm...
International audienceThe Gauss-Seidel method is very efficient for solving problems such as tightly...
In this paper, parallel algorithms suitable for the iterative solution of large sets of linear equat...
En préparation pour soumission à PPL.. Rapport interne.The data-parallel programming is convenient f...
Gauss-Seidel is a popular multigrid smoother as it is provably optimal on structured grids and exhib...
Abstract: In order to optimize data locality, communication and synchronization overhead, this pape...
Being able to simulate granular matter is important, because they are ubiquitous both in nature and ...
A parallel variant of the block Gauss-Seidel iteration is presented for the solution of Mock tridiag...
Progress of the Flosolver project in Parallel Computing over the period 1986-91 is briefly described
As parallel machines become more widely available, many existing algorithms are being converted to t...
The Flosolver parallel computer designed and built at NAL for fluid dynamics problem solving is desc...
AbstractIn this paper, a variant of Gaussian Elimination (GE) called Successive Gaussian Elimination...
The halfsweep multigrid algorithm, introduced by Othman et al in 1998 for solving a linear system, i...
The present report describes the design and development of the Flosolver series of parallel computer...
Gauss Seidel algorithm for solving iteratively system of equations is usually categorised as an intr...
W artykule przedstawiono przykładowe rezultaty analizy efektywności równoległych realizacji algorytm...
International audienceThe Gauss-Seidel method is very efficient for solving problems such as tightly...
In this paper, parallel algorithms suitable for the iterative solution of large sets of linear equat...
En préparation pour soumission à PPL.. Rapport interne.The data-parallel programming is convenient f...
Gauss-Seidel is a popular multigrid smoother as it is provably optimal on structured grids and exhib...
Abstract: In order to optimize data locality, communication and synchronization overhead, this pape...
Being able to simulate granular matter is important, because they are ubiquitous both in nature and ...
A parallel variant of the block Gauss-Seidel iteration is presented for the solution of Mock tridiag...
Progress of the Flosolver project in Parallel Computing over the period 1986-91 is briefly described
As parallel machines become more widely available, many existing algorithms are being converted to t...
The Flosolver parallel computer designed and built at NAL for fluid dynamics problem solving is desc...
AbstractIn this paper, a variant of Gaussian Elimination (GE) called Successive Gaussian Elimination...
The halfsweep multigrid algorithm, introduced by Othman et al in 1998 for solving a linear system, i...
The present report describes the design and development of the Flosolver series of parallel computer...