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A mapping algorithm for parallel sparse Cholesky factorization

Journal Article · · SIAM Journal on Scientific and Statistical Computing (Society for Industrial and Applied Mathematics); (United States)
DOI:https://doi.org/10.1137/0914074· OSTI ID:6107258
 [1];  [2]
  1. Univ. of Waterloo, Ontario (Canada)
  2. Cornell Univ., Ithaca, NY (United States). Advanced Computing Research Inst.
A task-to-processor mapping algorithm is described for computing the parallel multifrontal Cholesky factorization of irregular sparse problems on distributed-memory multiprocessor. The performance of the mapping algorithm is compared with the only general mapping algorithm previously reported. Using this mapping, the distributed multifrontal algorithm is nearly as efficient on a collection of problems with irregular sparsity structure as it is for the regular grid problems.
OSTI ID:
6107258
Journal Information:
SIAM Journal on Scientific and Statistical Computing (Society for Industrial and Applied Mathematics); (United States), Journal Name: SIAM Journal on Scientific and Statistical Computing (Society for Industrial and Applied Mathematics); (United States) Vol. 14:5; ISSN 0196-5204; ISSN SIJCD4
Country of Publication:
United States
Language:
English

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