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Increasing Data Reuse in the Unsymmetric QR Algorithm

dc.contributor.authorHenry, Gregen_US
dc.date.accessioned2007-04-03T14:42:58Z
dc.date.available2007-04-03T14:42:58Z
dc.date.issued1992-07en_US
dc.description.abstractThis paper models data use in the Unsymmetric QR Eigenvalue Algorithm to improve performance on machines with memory hierarchy. Most of the algorithms and strategies presented can be implemented so that they are numerically similar to strategies found in such libraries as LAPACK and EISPACK ([1,5]). We provide tests to show improvement of performance. Some strategies implemented include the use of block methods, transposing the matrix, reducing the average stride, reducing data movement with hybrid steps, and using block data structures.en_US
dc.format.extent247901 bytes
dc.format.extent690086 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.tc/92-100en_US
dc.identifier.urihttps://hdl.handle.net/1813/5477
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjecttheory centeren_US
dc.titleIncreasing Data Reuse in the Unsymmetric QR Algorithmen_US
dc.typetechnical reporten_US

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