2017
DOI: 10.1145/3134441
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Remark on Algorithm 539

Abstract: The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.

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Cited by 2 publications
(5 citation statements)
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“…This approach is unlikely to allow good performance on modern highly pipelined processors. All other approaches consist in scaling the terms a i , i.e., we multiply or divide them by one (or several) constant(s) such that computing sums of squares of the scaled values is over ow-free, and that under ow is either impossible or harmless (a good presentation, along with comparisons of existing Fortran codes can be found in [19]). A straightforward choice is to scale all values by the factor max |a i |, i.e., to evaluate the norm as…”
Section: Aim and Organization Of This Papermentioning
confidence: 99%
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“…This approach is unlikely to allow good performance on modern highly pipelined processors. All other approaches consist in scaling the terms a i , i.e., we multiply or divide them by one (or several) constant(s) such that computing sums of squares of the scaled values is over ow-free, and that under ow is either impossible or harmless (a good presentation, along with comparisons of existing Fortran codes can be found in [19]). A straightforward choice is to scale all values by the factor max |a i |, i.e., to evaluate the norm as…”
Section: Aim and Organization Of This Papermentioning
confidence: 99%
“…Higham [24, Pages 500 and 507] attributes to Hammarling a smart algorithm that consists in dynamically scaling the data. It was implemented in the LAPACK [19] package released by netlib 3 . We start from s 0 = 1 and t 0 = |x 0 |.…”
Section: Aim and Organization Of This Papermentioning
confidence: 99%
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