Supernodal symbolic Cholesky factorization on a local-memory multiprocessor

Ng, Esmond

doi:10.1016/0167-8191(93)90045-m

Supernodal symbolic Cholesky factorization on a local-memory multiprocessor

Journal Article · Thu Aug 14 00:00:00 EDT 2003 · Parallel Computing

DOI:https://doi.org/10.1016/0167-8191(93)90045-m· OSTI ID:5456424

Ng, Esmond ^[1]

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Here, in this paper, we consider the symbolic factorization step in computing the Cholesky factorization of a sparse symmetric positive definite matrix on distributed-memory multiprocessor systems. By exploiting the supernodal structure in the Cholesky factor, the performance of a previous parallel symbolic factorization algorithm is improved. Empirical tests demonstrate that there can be drastic reduction in the execution time required by the new algorithm on an Intel iPSC/2 hypercube.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC05-84OR21400

OSTI ID:: 5456424

Report Number(s):: ORNL/TM--11836; ON: DE91014967

Journal Information:: Parallel Computing, Journal Name: Parallel Computing Journal Issue: 2 Vol. 19; ISSN 0167-8191

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (19)

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