AbstractThe parallelization of the modified Gram-Schmidt orthogonalisation algorithm is studied. Different parallel algorithms are discussed and implemented on an array of Transputers configured in a ring topology. It is shown to what extend pipelining in data transfers contributes to higher performances
This paper describes parallel matrix transpose algorithms on distributed memory concurrent processor...
AbstractThe performance of parallel algorithms implementing the block SOR iterative method, used for...
Parallel computing on networks of workstations are intensively used in some application areas such a...
AbstractThe parallelization of the modified Gram-Schmidt orthogonalisation algorithm is studied. Dif...
In this paper we analyse implementations of parallel Gram-Schmidt orthogonalization algorithms. One ...
Abstract—Important operations in numerical computing are vector orthogonalization. One of the well-k...
A parallel matrix multiplication algorithm is presented, and studies of its performance and estimati...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Parallel matrix multiplication is one of the most studied fun-damental problems in distributed and h...
We present a study of the implementational aspects of iterative methods to solve systems of linear e...
Parallel computing on networks of workstations are intensively used in some application areas such a...
Parallel matrix multiplication is one of the most studied fun-damental problems in distributed and h...
The present state of electronic technology is such that factors affecting computation speed have alm...
Pipelining is normally associated with shared memory and vector computers and rarely used as an algo...
AbstractThis paper gives output-sensitive parallel algorithms whose performance depends on the outpu...
This paper describes parallel matrix transpose algorithms on distributed memory concurrent processor...
AbstractThe performance of parallel algorithms implementing the block SOR iterative method, used for...
Parallel computing on networks of workstations are intensively used in some application areas such a...
AbstractThe parallelization of the modified Gram-Schmidt orthogonalisation algorithm is studied. Dif...
In this paper we analyse implementations of parallel Gram-Schmidt orthogonalization algorithms. One ...
Abstract—Important operations in numerical computing are vector orthogonalization. One of the well-k...
A parallel matrix multiplication algorithm is presented, and studies of its performance and estimati...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Parallel matrix multiplication is one of the most studied fun-damental problems in distributed and h...
We present a study of the implementational aspects of iterative methods to solve systems of linear e...
Parallel computing on networks of workstations are intensively used in some application areas such a...
Parallel matrix multiplication is one of the most studied fun-damental problems in distributed and h...
The present state of electronic technology is such that factors affecting computation speed have alm...
Pipelining is normally associated with shared memory and vector computers and rarely used as an algo...
AbstractThis paper gives output-sensitive parallel algorithms whose performance depends on the outpu...
This paper describes parallel matrix transpose algorithms on distributed memory concurrent processor...
AbstractThe performance of parallel algorithms implementing the block SOR iterative method, used for...
Parallel computing on networks of workstations are intensively used in some application areas such a...