On parallelism of the I-SVD algorithm with a multi-core processor
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概要
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The I-SVD algorithm is a singular value decomposition algorithm consisting of the mdLVs scheme and the dLV twisted factorization. By assigning each piece of computations to each core of a multi-core processor, the I-SVD algorithm is parallelized partly. The basic idea is a use of splitting and deflation in the mdLVs. The splitting divides a bidiagonal matrix into two smaller matrices. The deflation gives one of the singular values, and then the corresponding singular vector becomes computable by the dLV. Numerical experiments are done on a multi-core processor, and the algorithm can be about 5 times faster with 8 cores.
著者
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Nakamura Yoshimasa
Graduate School Of Agriculture Kyoto University
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Takata Masami
Graduate School Of Human Culture Nara Women's University
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Kimura Kinji
Graduate School of Informatics, Kyoto University
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Toyokawa Hiroki
Graduate School of Informatics, Kyoto University
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