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- W1500483794 abstract "A parallel implementation for linear set of equations of the form Ax = b is presented in this paper. In this implementation, instead of the traditional direct solution of Ax = b, conjugate gradient method is used. The conjugate gradient method is accelerated with an approximate inverse matrix preconditioner obtained from a linear combination of matrix-valued Chebyshev polynomials. This implementation is tested on a Sun SMP machine. Since conjugate gradient method and preconditioner contain only matrix-vector and matrix-matrix multiplications, convincing results are obtained in terms of both speed and scalability." @default.
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- W1500483794 date "2004-07-08" @default.
- W1500483794 modified "2023-09-26" @default.
- W1500483794 title "A parallel implementation of chebyshev preconditioned conjugate gradient method" @default.
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- W1500483794 doi "https://doi.org/10.1109/ispdc.2003.1267636" @default.
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