Add to ORKGThe computation of the CS decomposition is the key to the stable computation of the Generalized Singular Value Decomposition, and is also important in other applications. This paper describes our implementation of a technique to compute the CS decomposition, and investigates the transfer of this technique to systolic computer architectures with parallel computation
In this paper a systolic algorithm is presented for the Simplex algorithm as used in Linear Programm...
A systematic method to map systolizable problems onto multicomputers is presented in this paper. A s...
Abstract. This paper provides a comparison between two automatic systolic array design methods: the ...
This paper contains the computation of the singular value decomposition using systolic arrays. Two ...
This paper concerns the systolic array computation of the generalized singular value decomposition....
We propose a systolic architecture for computing a singular value decomposition of an m x n matrix,...
If the columns of a matrix are orthonormal and it is partitioned into a 2-by-1 block matrix, then t...
Architectures for systolic array processor elements for calculating the singular value decomposition...
AbstractA profile is given of current research, as it pertains to computational mathematics, on Very...
A cyclic Jacobi method for computing the singular value decomposition of an $mxn$ matrix $(m \geq n...
In this paper, we show that every systolic array executes a Regular Iterative Algorithm with a stron...
[[abstract]]Algorithms which are to be mapped onto interconnecting processing elements in order to d...
An algorithm for computing the complete CS decomposition of a partitioned uni-tary matrix is develop...
The efficient solution of a large problem on a small systolic array requires good partitioning techn...
The paper presents a design for a hardware genetic algorithm which uses a pipeline of systolic array...
In this paper a systolic algorithm is presented for the Simplex algorithm as used in Linear Programm...
A systematic method to map systolizable problems onto multicomputers is presented in this paper. A s...
Abstract. This paper provides a comparison between two automatic systolic array design methods: the ...
This paper contains the computation of the singular value decomposition using systolic arrays. Two ...
This paper concerns the systolic array computation of the generalized singular value decomposition....
We propose a systolic architecture for computing a singular value decomposition of an m x n matrix,...
If the columns of a matrix are orthonormal and it is partitioned into a 2-by-1 block matrix, then t...
Architectures for systolic array processor elements for calculating the singular value decomposition...
AbstractA profile is given of current research, as it pertains to computational mathematics, on Very...
A cyclic Jacobi method for computing the singular value decomposition of an $mxn$ matrix $(m \geq n...
In this paper, we show that every systolic array executes a Regular Iterative Algorithm with a stron...
[[abstract]]Algorithms which are to be mapped onto interconnecting processing elements in order to d...
An algorithm for computing the complete CS decomposition of a partitioned uni-tary matrix is develop...
The efficient solution of a large problem on a small systolic array requires good partitioning techn...
The paper presents a design for a hardware genetic algorithm which uses a pipeline of systolic array...
In this paper a systolic algorithm is presented for the Simplex algorithm as used in Linear Programm...
A systematic method to map systolizable problems onto multicomputers is presented in this paper. A s...
Abstract. This paper provides a comparison between two automatic systolic array design methods: the ...