Evaluations of parallel double divide and conquer on a 16-core computer (数理モデル化と問題解決)
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概要
- 論文の詳細を見る
For bidiagonal SVD, double Divide and Conquer was proposed. It first computes singular values by a compact version of Divide and Conquer. The corresponding singular vectors are then computed by twisted factorization. The speed and accuracy of double Divide and Conquer are as good or even better than standard algorithms such as QR and the original Divide and Conquer. Moreover, it shows high scalability even on a PC cluster, distributed memory architecture. This paper presents evaluations of parallel double Divide and Conquer for singular value decomposition on a 16-core architecture.
- 一般社団法人情報処理学会の論文
- 2008-07-07
著者
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NAKAMURA Yoshimasa
Department of Food Science and Technology, Faculty of Agriculture, Kyoto University
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Konda Taro
Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University
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Nakamura Yoshimasa
Department Of Biofunctional Chemistry Division Of Bioscience Graduate School Of Natural Science And
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Konda Taro
Department Of Applied Mathematics And Physics Graduate School Of Informatics Kyoto University:sorst
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Toyokawa Hiroki
Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University
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Toyokawa Hiroki
Department Of Applied Mathematics And Physics Graduate School Of Informatics Kyoto University:sorst
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Nakamura Yoshimasa
Department Of Applied Mathematics And Physics Graduate School Of Informatics Kyoto University:sorst
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Nakamura Yoshimasa
Department Of Applied Mathematics And Physics Faculty Of Engineering Kyoto University
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