AbstractA parallel version of the cyclic reduction algorithm for the solution of tridiagonal linear systems is presented. The original problem is divided into subproblems which may be solved almost independently. Synchronizations among the processors involved is only needed to solve a reduced tridiagonal system whose dimension depends on the number of processors.Numerical tests have been performed on a linear array of processors. The obtained speedups show that this is the best possible parallel implementation of the cyclic reduction and one of the fastest algorithms for the solution of tridiagonal systems on a parallel computer with medium grain parallelism
本論文對線性三對角方程組之解法提出平行演算法於超立方體網路 (hypercube network), 並且此平行演算法能達到最佳費用 (optimalcost ) O(N). 討論的解法包含 (1)循...
Tridiagonal systems play a fundamental role in matrix computation. In particular, in recent years pa...
Tridiagonal systems play a fundamental role in matrix computation. In particular, in recent years pa...
AbstractA parallel version of the cyclic reduction algorithm for the solution of tridiagonal linear ...
ABSTRACT. Tridiagonal linear systems of equations can be solved on conventional serial machines in a...
An optimized parallel algorithm is proposed to solve the problem occurred in the process of complica...
AbstractThe recursive doubling algorithm as developed by Stone can be used to solve a tridiagonal li...
AbstractWe formalize the concept of parallel factorization as a set of scalar factorizations. By mea...
We study the performance of three parallel algorithms and their hybrid variants for solving tridiago...
We formalize the concept of patm!kZfitorhztim as a set of scalar factorizations. By means of this co...
this paper, the wrap-around partitioning methodology, originally proposed by Hegland [1], is conside...
Tridiagonal diagonally dominant linear systems arise in many scientific and engineering applications...
In this paper we present a method to solve a symmetric and tridiagonal system of linear equations on...
The Parallel Diagonal Dominant (PDD) algorithm is an efficient tridiagonal solver. In this paper, a ...
We are concerned with the parallel solution of large tridiagonal systems on message-based MIMD compu...
本論文對線性三對角方程組之解法提出平行演算法於超立方體網路 (hypercube network), 並且此平行演算法能達到最佳費用 (optimalcost ) O(N). 討論的解法包含 (1)循...
Tridiagonal systems play a fundamental role in matrix computation. In particular, in recent years pa...
Tridiagonal systems play a fundamental role in matrix computation. In particular, in recent years pa...
AbstractA parallel version of the cyclic reduction algorithm for the solution of tridiagonal linear ...
ABSTRACT. Tridiagonal linear systems of equations can be solved on conventional serial machines in a...
An optimized parallel algorithm is proposed to solve the problem occurred in the process of complica...
AbstractThe recursive doubling algorithm as developed by Stone can be used to solve a tridiagonal li...
AbstractWe formalize the concept of parallel factorization as a set of scalar factorizations. By mea...
We study the performance of three parallel algorithms and their hybrid variants for solving tridiago...
We formalize the concept of patm!kZfitorhztim as a set of scalar factorizations. By means of this co...
this paper, the wrap-around partitioning methodology, originally proposed by Hegland [1], is conside...
Tridiagonal diagonally dominant linear systems arise in many scientific and engineering applications...
In this paper we present a method to solve a symmetric and tridiagonal system of linear equations on...
The Parallel Diagonal Dominant (PDD) algorithm is an efficient tridiagonal solver. In this paper, a ...
We are concerned with the parallel solution of large tridiagonal systems on message-based MIMD compu...
本論文對線性三對角方程組之解法提出平行演算法於超立方體網路 (hypercube network), 並且此平行演算法能達到最佳費用 (optimalcost ) O(N). 討論的解法包含 (1)循...
Tridiagonal systems play a fundamental role in matrix computation. In particular, in recent years pa...
Tridiagonal systems play a fundamental role in matrix computation. In particular, in recent years pa...