It seems short of the mark to support just 2 of the 3 libraries with static link. I have linked successfully with static lapack and mkl_em64t, without OpenMP runtime, but this seems to require mkl_sequential.so. It does so as I would expect in a dynamic link, contrary to the advice I have seen so far always to link explicitly against libguide and libpthread even when using mkl_sequential. That reasoning doesn't seem to bear on mkl_sequential, as I would think the point of mkl_sequential is to avoid dependency on OpenMP runtime. MKL 10 release notes give a lot of strong advice against static links, the only reason given being the possibility of mistakenly linking in more than one OpenMP library. Feel free to use our contribution forms to make suggestions.We would like to use mkl_sequential mkl_lapack in a static link. We greatly appreciate the contributions of others to the Hub, and would love to hear further suggestions for things that could or should be included. We will continue to add resources of our own and highlight the resources of others, to make sequential analysis increasingly easy to understand and perform. Rather, we hope to point people to useful resources so that they can make a more informed decision for themselves.įinally, the Sequential Testing Hub is not complete. Nor do we intend to tell people exactly what approach they should use, as there is no one-size-fits-all solution to most problems. We cannot hope to cover all aspects of experimental design, such as participant randomisation. We have tried to focus the resources more specifically on issues that directly relate to the use of sequential analytic approaches and particular challenges these might pose. The Sequential Testing Hub is also not intended to cover all aspects of experimental design or clinical trial design. However, we do hope to reduce the difficulties of performing such analyses, so that if someone does want to use them, they are better equipped to do so. Sequential analysis can impose some technical, practical, and sometimes ethical difficulties, and may not be appropriate for everyone or for every problem. Our aim is not to convince everyone that they should always be trying to do sequential analyses and that these approaches are necessarily better than ‘simpler’, more typical approaches to experimental design. Our ultimate aim is to bring together the insights and work of researchers and experts tackling sequential analysis from multiple angles, to make this powerful analytic approach increasingly feasible for practicing researchers. We also felt that even for consideration of the statistical aspects of sequential testing, it would be helpful for there to be a collection of useful resources in one place, which could evolve and develop as new techniques, software, or tutorials become available. We noticed firstly that the literature had given relatively little attention to the possible psychological impact of performing interim analyses, instead emphasising statistical corrections - hence, our emphasis on the possibility of keeping experimenters blinded to the results of interim analyses. The Sequential Testing Hub grew out of our own experience performing sequential analysis as part of a small scale trial of a new intervention for anxiety disorders. Given that we are psychological researchers, our primary audience is psychologists and behavioural scientists, although the resources and tools we highlight are not only applicable to psychological experiments. The Sequential Testing Hub is intended as an evolving resource to help facilitate the use of sequential analytic approaches.
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