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dc.creatorSustaita, Agapito
dc.date.accessioned2012-06-07T22:42:58Z
dc.date.available2012-06-07T22:42:58Z
dc.date.created1995
dc.date.issued1995
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-1995-THESIS-S877
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references.en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractThe results of a new static mapping of the sparse Cholesky factorization problem onto two distributed memory architectures are presented within this report. This mapping technique is based on the ideas of both a critical path, and the fact that not all tasks have the same computational workload. The proposed mapping technique makes use of the elimination tree which is derived from the column dependencies in the sparse definite positive input matrix A. The mapping solution presented will be compared with both simple methods which do not rely on the elimination tree, and against other well known mapping techniques. Performance results favor the proposed weighted critical path (WCP) mapping.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectcomputer science.en
dc.subjectMajor computer science.en
dc.titleA static mapping of sparse Cholesky factorization onto distributed memory architecturesen
dc.typeThesisen
thesis.degree.disciplinecomputer scienceen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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