Preliminary Result of Parallel double Divide and Conquer
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概要
- 論文の詳細を見る
This paper shows a concept for parallelization of double Divide and Conquer and its preliminary result. For singular value decomposition, double Divide and Conquer was recently 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 well or even better than standard algorithms such as QR and Divide and Conquer. In addition, it is expected that double Divide and Conquer has great parallelism because each step is theoretically parallel and heavy communication is no required. However, any parallel model of double Divide and Conquer has not been studied yet. In this paper, policy of the parallelization is discussed. Then, a parallel implementation with MPI is tested on a distributed memory parallel computer. It successfully shows a high parallelism.
- 一般社団法人情報処理学会の論文
- 2006-06-26
著者
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NAKAMURA Yoshimasa
Department of Food Science and Technology, Faculty of Agriculture, Kyoto University
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Nakamura Yoshimasa
Sorst Jst And Graduate School Of Informatics Kyoto University
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Takata Masami
Graduate School of Humanities and Sciences, Nara Women's University
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Konda Taro
Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University
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Tsuboi Hiroaki
Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University
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Iwasaki Masashi
Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University
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Iwasaki Masashi
SORST, JST and Graduate School of Informatics Kyoto University
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Konda Taro
Department Of Applied Mathematics And Physics Graduate School Of Informatics Kyoto University:sorst
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Takata Masami
Graduate School Of Humanity And Science Nara Women's University
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Takata Masami
Graduate School Of Human Culture Nara Women's University
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Tsuboi Hiroaki
Sorst Jst And Graduate School Of Informatics Kyoto University
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Iwasaki Masashi
Sorst Jst And Graduate School Of Informatics Kyoto University
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Nakamura Yoshimasa
Department Of Applied Mathematics And Physics Faculty Of Engineering Kyoto University
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