Add to ORKGEn préparation pour soumission à PPL.. Rapport interne.The data-parallel programming is convenient for numerical computation dealing with data collections like arrays. Physicists use very efficient sequential programs to simulate physical processes, but such programs can not be easily adapted to parallel architectures. The Gauss-Seidel fix point computation is an example. This paper aims at showing how data-parallel modeling and programming helps in redesigning sequential programs for an efficient parallel implementation whatever the parallel architecture is
A parallel variant of the block Gauss-Seidel iteration is presented for the solution of Mock tridiag...
La quête de performance a été une constante à travers l'histoire des systèmes informatiques.Il y a p...
Finite Element problems are often solved using multigrid techniques. The most time consuming part of...
Abstract: In order to optimize data locality, communication and synchronization overhead, this pape...
In this report we present a parallel implementation of the Gauss-Seidel algorithm on the Flosolver p...
International audienceThe Gauss-Seidel method is very efficient for solving problems such as tightly...
W artykule przedstawiono przykładowe rezultaty analizy efektywności równoległych realizacji algorytm...
AbstractThe refinement calculus and the action system formalism are combined to provide a uniform me...
Gauss Seidel algorithm for solving iteratively system of equations is usually categorised as an intr...
Being able to simulate granular matter is important, because they are ubiquitous both in nature and ...
Parallel programming allows the speed of computations to be increased by using multiple processors o...
The n ed for effective parallel methods for solving problems in science and engineering well recogni...
Enforcing box consistency---or a variation thereof---is an efficient means to reliably solve nonline...
This article describes a parallel algorithm for the Structured Gauss-ian Elimination step of the Num...
In this paper, parallel algorithms suitable for the iterative solution of large sets of linear equat...
A parallel variant of the block Gauss-Seidel iteration is presented for the solution of Mock tridiag...
La quête de performance a été une constante à travers l'histoire des systèmes informatiques.Il y a p...
Finite Element problems are often solved using multigrid techniques. The most time consuming part of...
Abstract: In order to optimize data locality, communication and synchronization overhead, this pape...
In this report we present a parallel implementation of the Gauss-Seidel algorithm on the Flosolver p...
International audienceThe Gauss-Seidel method is very efficient for solving problems such as tightly...
W artykule przedstawiono przykładowe rezultaty analizy efektywności równoległych realizacji algorytm...
AbstractThe refinement calculus and the action system formalism are combined to provide a uniform me...
Gauss Seidel algorithm for solving iteratively system of equations is usually categorised as an intr...
Being able to simulate granular matter is important, because they are ubiquitous both in nature and ...
Parallel programming allows the speed of computations to be increased by using multiple processors o...
The n ed for effective parallel methods for solving problems in science and engineering well recogni...
Enforcing box consistency---or a variation thereof---is an efficient means to reliably solve nonline...
This article describes a parallel algorithm for the Structured Gauss-ian Elimination step of the Num...
In this paper, parallel algorithms suitable for the iterative solution of large sets of linear equat...
A parallel variant of the block Gauss-Seidel iteration is presented for the solution of Mock tridiag...
La quête de performance a été une constante à travers l'histoire des systèmes informatiques.Il y a p...
Finite Element problems are often solved using multigrid techniques. The most time consuming part of...