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
We present a study of the implementational aspects of iterative methods to solve systems of linear e...
AbstractThe goal of this paper is to present practical experiments on broadcasting algorithms on a c...
AbstractThe performance of parallel algorithms implementing the block SOR iterative method, used for...
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...
Due to the character of the original source materials and the nature of batch digitization, quality ...
A parallel matrix multiplication algorithm is presented, and studies of its performance and estimati...
Pipelining is normally associated with shared memory and vector computers and rarely used as an algo...
The concurrent solution of large linear systems of equations on processor meshes of fixed size has b...
Parallel computing on networks of workstations are intensively used in some application areas such a...
In this paper we present a systematic method for mapping systolizable problems onto Distributed Memo...
In this paper the parallelization of a new learning algorithm for multilayer perceptrons, specifical...
Gram-Schmidtov postopek je klasičen postopek za ortonormiranje množice vektorjev v vektorskem prosto...
Many optimizations (of programs with loops) used in parallelizing compilers and systolic array desig...
We present a study of the implementational aspects of iterative methods to solve systems of linear e...
AbstractThe goal of this paper is to present practical experiments on broadcasting algorithms on a c...
AbstractThe performance of parallel algorithms implementing the block SOR iterative method, used for...
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...
Due to the character of the original source materials and the nature of batch digitization, quality ...
A parallel matrix multiplication algorithm is presented, and studies of its performance and estimati...
Pipelining is normally associated with shared memory and vector computers and rarely used as an algo...
The concurrent solution of large linear systems of equations on processor meshes of fixed size has b...
Parallel computing on networks of workstations are intensively used in some application areas such a...
In this paper we present a systematic method for mapping systolizable problems onto Distributed Memo...
In this paper the parallelization of a new learning algorithm for multilayer perceptrons, specifical...
Gram-Schmidtov postopek je klasičen postopek za ortonormiranje množice vektorjev v vektorskem prosto...
Many optimizations (of programs with loops) used in parallelizing compilers and systolic array desig...
We present a study of the implementational aspects of iterative methods to solve systems of linear e...
AbstractThe goal of this paper is to present practical experiments on broadcasting algorithms on a c...
AbstractThe performance of parallel algorithms implementing the block SOR iterative method, used for...
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