- 08 Nov, 2019 1 commit
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Andreas Marek authored
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- 24 Oct, 2019 1 commit
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Andreas Marek authored
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- 23 Oct, 2019 1 commit
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Andreas Marek authored
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- 21 Oct, 2019 1 commit
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Andreas Marek authored
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- 05 Jul, 2019 1 commit
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Carolin Penke authored
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- 04 Jul, 2019 1 commit
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Carolin Penke authored
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- 19 Jun, 2019 1 commit
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Carolin Penke authored
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- 12 Jun, 2019 1 commit
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Carolin Penke authored
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- 03 Dec, 2018 2 commits
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Carolin Penke authored
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Carolin Penke authored
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- 08 Nov, 2018 4 commits
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Carolin Penke authored
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Carolin Penke authored
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Andreas Marek authored
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Andreas Marek authored
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- 27 Aug, 2018 3 commits
- 14 Aug, 2018 3 commits
- 13 Aug, 2018 1 commit
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Pavel Kus authored
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- 15 Jun, 2018 1 commit
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Andreas Marek authored
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- 25 May, 2018 1 commit
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Pavel Kus authored
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- 24 May, 2018 1 commit
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Pavel Kus authored
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- 11 May, 2018 2 commits
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Andreas Marek authored
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Andreas Marek authored
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- 18 Apr, 2018 1 commit
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Pavel Kus authored
if provided a a fourth parameter, all correctness checks will be skipped. Can be usefull for repeated performance tests.
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- 01 Dec, 2017 1 commit
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Andreas Marek authored
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- 26 Oct, 2017 1 commit
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Lorenz Huedepohl authored
To be used like this class(elpa_t), pointer :: e class(elpa_autotune_t), pointer :: tune_state e => elpa_allocate() call e%set(...) [...] assert_elpa_ok(e%setup()) tune_state => e%autotune_setup(ELPA_AUTOTUNE_FAST, ELPA_AUTOTUNE_DOMAIN_REAL) ! Autotuning loop, continues until all combinations have been tried do while (e%autotune_step(tune_state)) ! Do the steps that are representative of your calculation call e%eigenvectors(a, ev, z, error) end do ! Fix best parameters, and de-allocate the autotune object call e%autotune_set_best(tune_state) call elpa_autotune_deallocate(tune_state)
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