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- W2086720083 abstract "Though a variety of parallel sparse Cholesky factorizations have been developed and diverse experiments on various machines have been reported, there is still a lack of theoretical evaluations because of the irregular structure of sparse matrices. This study is an effort on such research. On the basis of the elimination tree model, we compared the computation and communication perspective of four widely adopted parallel Cholesky factorization methods, including column-Cholesky, row-Cholesky, submatrix-Cholesky and multifrontal. The results show that the multifrontal method is superior to the others." @default.
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- W2086720083 date "2000-01-01" @default.
- W2086720083 modified "2023-09-23" @default.
- W2086720083 title "On evaluating elimination tree based parallel sparse cholesky factorizations" @default.
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- W2086720083 doi "https://doi.org/10.1080/00207160008804948" @default.
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