Julia Programming Language uses also OpenBlas, and it is actively maintained with bugs being fixed as I have checked it out:
http://www.openblas.net/Changelog.txt So I still see it ok to be included as an options(...) feature (by default off, just for safety), over other Blas libraries. R could not use Intel MKL for legal reasons (I think), because as long that R ships with GPL libraries, shipping R by default with Non-GPL is illegal. Cheers, Juan El 17/12/2017 2:50 a. m., "Avraham Adler" <avraham.ad...@gmail.com> escribió: > On Sat, Dec 16, 2017 at 7:41 PM, Kenny Bell <kmbel...@gmail.com> wrote: > > 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. This might dramatically > > affect install times. > > > > - MKL seems like it's been outright rejected in the past based on not > > being "free-enough". > > > > - OpenBLAS causes crashes. > > > > Has anyone tried ExBLAS for use with R? > > > > On Sun, Dec 17, 2017 at 1:03 PM, Peter Langfelder < > > peter.langfel...@gmail.com> wrote: > > > >> I would be very cautious about OpenBLAS in particular... from time to > >> time I get complains from users that compiled code calculations in my > >> WGCNA package crash or produce wrong answers with large data, and they > >> all come from OpenBLAS users. I am yet to reproduce any of their > >> crashes when using MKL and ATLAS BLAS implementations. > >> > >> Just my 2 cents... > >> > >> Peter > > I've been building R on Windows 64 bit with OpenBLAS for years and my > builds pass check-devel. For a while in the past it failed one check > as the tolerance was 5e-5 and with my build of OpenBLAS the error was > 5.4e-5 or 5.7e-5, but that was changed around R 3.3, if I recall > correctly. I provide descriptions here [1], but I haven't gone so far > as to post compiled Rblas.dlls just yet. My personal build sets 4 > threads when compiling OpenBLAS itself as I'm currently on a quad-core > SandyBridge. In tests I 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/ > > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > [[alternative HTML version deleted]] ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
