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Hi Avraham, What a coincidence, I have been following this post of yours: https://www.avrahamadler.com/2013/10/24/an-openblas-based-rblas-for-windows-64-step-by-step/ Looks like this post is slightly older than what you have shared previously. It is strange that you did not get the attachments. I am pasting the contents of the MkRules.local here: ---------------------------------------------...

Hi All, I am trying to compile R from source on a 64 bit Windows. I have downloaded and installed all the third party software as per the R - documentation. The compilation starts fine and after a while it stops with the following error message: D:/Rtools/mingw_64/bin/../lib/gcc/x86_64-w64-mingw32/4.9.3/../../../../x86_64-w64-mingw32/bin/ld.exe: cannot find -lRgraphapp collect2.exe: error: ld

...then can be compiled into R with no issues />>/(on my platforms, at least). Most matrix operations performed better />>/with multi-threaded except for R's eigenvalue decomposition, to the />>/nest of my recollection. />>//>>/Avi />>//>>/[1] https://www.avrahamadler.com/r-tips/build-openblas-for-windows-r64/ />>//>>/______________________________________________ />>/R-devel at r-project.org <https://stat.ethz.ch/mailman/listinfo/r-devel> mailing list />>/https://stat.ethz.ch/mailman/listinfo/r-devel />>//>// >>&gt...

...ulti > threaded BLAS compile and then can be compiled into R with no issues > (on my platforms, at least). Most matrix operations performed better > with multi-threaded except for R's eigenvalue decomposition, to the > nest of my recollection. > > Avi > > [1] https://www.avrahamadler.com/r-tips/build-openblas-for-windows-r64/ > > ______________________________________________ > R-devel at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > [[alternative HTML version deleted]]

...then can be compiled into R with no issues />>/(on my platforms, at least). Most matrix operations performed better />>/with multi-threaded except for R's eigenvalue decomposition, to the />>/nest of my recollection. />>//>>/Avi />>//>>/[1] https://www.avrahamadler.com/r-tips/build-openblas-for-windows-r64/ />>//>>/______________________________________________ />>/R-devel at r-project.org > <https://stat.ethz.ch/mailman/listinfo/r-devel> mailing list />>/https://stat.ethz.ch/mailman/listinfo/r-devel />>//>// >...

.../with > multi-threaded except for R's eigenvalue > decomposition, to the />>/nest of my > recollection. />>//>>/Avi />>//>>/[1] > https://www.avrahamadler.com/r-tips/build-openblas-for-windows-r64/ > <https://www.avrahamadler.com/r-tips/build-openblas-for-windows-r64/> > />>//>>/______________________________________________ > />>/R-...

It seems like many of the multi-threaded BLASes have some sort of fundamental problem preventing use in the way Juan suggests: - Dirk's vignette states that ATLAS "fixes the number of cores used at compile-time and cannot vary this setting at run-time", so any user-friendly implementation for R would have to compile ATLAS for 1-16 threads to allow the user to switch at run-time.

...exinfo.htm. But not sure where to get *texi2any*. Can you guide me in this step? Regards, Indrajit On Fri, Feb 9, 2018 at 11:58 AM, Indrajit Sen Gupta <indrajitsg at gmail.com> wrote: > Hi Avraham, > > What a coincidence, I have been following this post of yours: https://www. > avrahamadler.com/2013/10/24/an-openblas-based-rblas-for- > windows-64-step-by-step/ > > Looks like this post is slightly older than what you have shared > previously. It is strange that you did not get the attachments. I am > pasting the contents of the MkRules.local here: > > -----------...

...tes/products/mkl/mkl_link_line_advisor.htm> (the guide here https://csantill.github.io/RPerformanceWBLAS/ is only targeted at Linux & Mac as well and the only other guide about installing an optimized BLAS, OpenBLAS on Windows also doesn't seem to be for the faint of heart, https://www.avrahamadler.com/r-tips/build-openblas-for-windows-r64/;<https://www.avrahamadler.com/r-tips/build-openblas-for-windows-r64/> for Linux there is the excellent guide by Dirk Eddelbuittel though, https://github.com/eddelbuettel/mkl4deb which is great in that it does not require recompilation of the whole...

...ran a few years ago, both single and multi threaded BLAS compile and then can be compiled into R with no issues (on my platforms, at least). Most matrix operations performed better with multi-threaded except for R's eigenvalue decomposition, to the nest of my recollection. Avi [1] https://www.avrahamadler.com/r-tips/build-openblas-for-windows-r64/

...then can be compiled into R with no issues />>/(on my platforms, at least). Most matrix operations performed better />>/with multi-threaded except for R's eigenvalue decomposition, to the />>/nest of my recollection. />>//>>/Avi />>//>>/[1] https://www.avrahamadler.com/r-tips/build-openblas-for-windows-r64/ />>//>>/______________________________________________ />>/R-devel at r-project.org <https://stat.ethz.ch/mailman/listinfo/r-devel> mailing list />>/https://stat.ethz.ch/mailman/listinfo/r-devel />>//>// >>&gt...

...then can be compiled into R with no issues />>/(on my platforms, at least). Most matrix operations performed better />>/with multi-threaded except for R's eigenvalue decomposition, to the />>/nest of my recollection. />>//>>/Avi />>//>>/[1] https://www.avrahamadler.com/r-tips/build-openblas-for-windows-r64/ />>//>>/______________________________________________ />>/R-devel at r-project.org <https://stat.ethz.ch/mailman/listinfo/r-devel> mailing list />>/https://stat.ethz.ch/mailman/listinfo/r-devel />>//>// >> [...

I have several related questions. 1. Is it possible to use a GUI: Rstudio/Eclipse/Visual-studio to debug compiled code on Windows? Things that work on Eclipse for Windows do not work on Eclipse for Windows. 2. R CMD INSTALL seems to override default attempts to provide CFLAGS="-DDEBUG -g3 -O0" 3. Is it necessary to compile R with debug turned on? One of the FAQs mentioned to

...then can be compiled into R with no issues />>/(on my platforms, at least). Most matrix operations performed better />>/with multi-threaded except for R's eigenvalue decomposition, to the />>/nest of my recollection. />>//>>/Avi />>//>>/[1] https://www.avrahamadler.com/r-tips/build-openblas-for-windows-r64/ />>//>>/______________________________________________ />>/R-devel at r-project.org <https://stat.ethz.ch/mailman/listinfo/r-devel> mailing list />>/https://stat.ethz.ch/mailman/listinfo/r-devel />>//>// >>&gt...

...least). Most matrix operations performed better />>/with >>>>>> multi-threaded except for R's eigenvalue decomposition, to the />>/nest of >>>>>> my recollection. />>//>>/Avi />>//>>/[1] >>>>>> https://www.avrahamadler.com/r-tips/build-openblas-for-windows-r64/ >>>>>> />>//>>/______________________________________________ />>/R-devel >>>>>> at r-project.org <https://stat.ethz.ch/mailman/listinfo/r-devel> >>>>>> mailing list />>/...

...then can be compiled into R with no issues />>/(on my platforms, at least). Most matrix operations performed better />>/with multi-threaded except for R's eigenvalue decomposition, to the />>/nest of my recollection. />>//>>/Avi />>//>>/[1] https://www.avrahamadler.com/r-tips/build-openblas-for-windows-r64/ />>//>>/______________________________________________ />>/R-devel at r-project.org <https://stat.ethz.ch/mailman/listinfo/r-devel> mailing list />>/https://stat.ethz.ch/mailman/listinfo/r-devel />>//>// >>&gt...

I think the thing that is missing is a simple way for end users on windows to replace blas/lapack libraries with MKL-a package that you install that puts the libraries in the right place. Microsoft provides something for their distro, but we don't have the equivalent if you get R from cran. On 29 October 2017 at 22:01, Kenny Bell wrote: | User here: incorporating Intel's MKL, as MRO

.... Can you guide me in this step? > > Regards, > Indrajit > > On Fri, Feb 9, 2018 at 11:58 AM, Indrajit Sen Gupta <indrajitsg at gmail.com> > wrote: > >> Hi Avraham, >> >> What a coincidence, I have been following this post of yours: https://www. >> avrahamadler.com/2013/10/24/an-openblas-based-rblas-for- >> windows-64-step-by-step/ >> >> Looks like this post is slightly older than what you have shared >> previously. It is strange that you did not get the attachments. I am >> pasting the contents of the MkRules.local here: &...