Search Results - "parallel QR-factorization algorithms"

A family of parallel QR factorization algorithms by Meyer, Gerard G.L., Pascale, Mike

“…Rapid computation of the QR factorization of a matrix is fundamental to many scientific and engineering problems. The paper presents a family of algorithms…”
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Efficiency and scalability of two parallel QR factorization algorithms by Malard, J., Paige, C.C.

“…Both the Householder QR factorization algorithm and the modified Gram-Schmidt algorithm can be written in terms of matrix-matrix operations using the Compact…”
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Adaptive antenna selection by parallel QR-factorization for cognitive radio cloud network by Shih Yu Chang, Hsiao-Chun Wu

“…) is under scientific investigation. By making use of the parallel computing capacity of the cloud, we propose innovative parallel QR-factorization algorithms to establish an adaptive transmitter system by dynamically selecting the antennae…”
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An efficient parallel approach for quad-constellation GNSS real-time precise orbit determination enabling 5-second intervals updating by Zheng, Hongjie, Li, Xingxing, Yuan, Yongqiang, Wu, Jiaqi, Huang, Shi

“…). In the proposed approach, parallel QR factorization algorithms are implemented to expedite parameter estimation based on SRIF, while parallel processing model is designed for real-time POD to enhance…”
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Parallel Tall-and-Skinny QR Factorization Based on LU-CholeskyQR Algorithm by Uchino, Yuki, Imamura, Toshiyuki

“…We present optimal parallel QR factorization algorithms with reduced communication overhead…”
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A coarse-grained parallel QR-factorization algorithm for sparse least squares problems by Ostromsky, Tz, Hansen, P.C., Zlatev, Z.

“…A sparse QR-factorization algorithm SPARQR for coarse-grained parallel computations is described. The coefficient matrix, which is assumed to be general…”
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The parallel QR factorization algorithm for tridiagonal linear systems by Amodio, Pierluigi, Brugnano, Luigi

“…We describe a new parallel solver in the class of partition methods for general, nonsingular tridiagonal linear systems. Starting from an already known…”
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An Optimized Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks by Zini, Julia El, Rizk, Yara, Awad, Mariette

“…Recurrent neural networks (RNN) have been successfully applied to various sequential decision-making tasks, natural language processing applications, and…”
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A Parallel QR Factorization Algorithm with Controlled Local Pivoting by Bischof, Christian H.

“…This paper presents a new version of the Householder algorithm with column pivoting for computing a QR factorization that identifies rank and range space of a…”
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A parallel QR factorization algorithm for solving Toeplitz tridiagonal systems by Shaw, R.E., Garey, L.E., White, A.M.

“… We present two parallel QR factorization algorithms used to solve Toeplitz tridiagonal systems…”
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A parallel QR factorization algorithm using local pivoting by Bischof, C. H.

“…This paper presents a new parallel version of the Householder algorithm with column pivoting for computing the QR factorization of a matrix. In contrast to the…”
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A parallel QR factorization algorithm using local pivoting by Bischof, C.H.

“…A parallel version of the Householder algorithm with column pivoting is introduced for computing the QR factorization of a matrix. Local pivoting allows…”
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QR factorization for shared memory and message passing by Dunn, Ian N, Meyer, Gerard G.L

“…This paper describes the design, implementation, and performance of three new parallel QR factorization algorithms…”
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An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks by Julia El Zini, Rizk, Yara, Awad, Mariette

“…Recurrent neural networks (RNN) have been successfully applied to various sequential decision-making tasks, natural language processing applications, and…”
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Parallel compact WY QR factorization for asynchronous message passing by Dunn, I.N., Meyer, G.G.L.

“…This paper describes the design, implementation, and performance of a new parallel QR factorization algorithm based on the Compact WY representation of Householder reflections…”
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