Here is a message that I received that was not in the "email chain" ...
Hi Emmanuel. Probably you take a look to the approach taken by Microsoft in LightGBM R package. I do not know details (so approach could be irrelevant to what you've asked), but on windows they build package (even with gpu support) using Visual Studio toolchain. You can check here - https://github.com/Microsoft/LightGBM/tree/master/R-package. If you will find it useful please report back to this mailing list, so we will be aware of it. Thanks. 2018-01-23 15:00 GMT+04:00 <rcpp-devel-requ...@lists.r-forge.r-project.org>: > Send Rcpp-devel mailing list submissions to > rcpp-devel@lists.r-forge.r-project.org > > To subscribe or unsubscribe via the World Wide Web, visit > https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo > /rcpp-devel > > or, via email, send a message with subject or body 'help' to > rcpp-devel-requ...@lists.r-forge.r-project.org > > You can reach the person managing the list at > rcpp-devel-ow...@lists.r-forge.r-project.org > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of Rcpp-devel digest..." 2018-01-23 11:28 GMT-05:00 Qiang Kou <q...@umail.iu.edu>: > On Mon, Jan 22, 2018 at 11:24 PM, Emmanuel Hamel <manu.ha...@gmail.com> > wrote: > >> >> For the moment, I compile the GPU code with Visual studio 2015 to make à >> DLL, and then I call it from R. It is the only solution I found for the >> moment. >> >> > In MXNet R package, we also compile the cuda code using visual studio to > generate the dll. > > This is the easiest way I know. > > Best, > > KK >
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