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Buenas, Alguno ha probado a usar Microsfot R Open? Segun leo, se han centrado en hacer que R por defecto sea multicore (cosa que podemos hacer usando parallel, foreach...) https://mran.revolutionanalytics.com/documents/rro/multithread Home [mran.revolutionanalytics.com]<https://mran.revolutionanalytics.com/documents/rro/multithread> This site uses cookies for analytics, personalized content and ads. By continuing to browse this site, you agree to this use. Learn more mran.revolutionanalytics.com De ser as?,...

...believe that the R Community will benefit a lot from his work. However, the debate I would like to open is about if some of Microsoft R Open Code shall be ported from R Open to Mainstream R. There are some beneficts in R Open such as multithreaded performance: https://mran.microsoft.com/documents/rro/multithread/ Maybe, the R Consortium, and in particular, Microsoft R Team, could collaborate, if appropriate, in such duty. Thank you, Juan Telleria [[alternative HTML version deleted]]

...to not use it - Intel MKL: this is part of Intel Parallel Studio and is a paid software. Now, there is the MKL package distributed by Revolutionanalytics, but I am not certain how this can be distributed for free. Is there any kind of difference? In case of use of this package, do I need to install RRO or can I just build R from GNU against these libraries? Thank you for advices. -- google.com/+arnaudgabourygabx

...art of Intel Parallel Studio and is a paid >> software. Now, there is the MKL package distributed by >> Revolutionanalytics, but I am not certain how this can be distributed >> for free. Is there any kind of difference? In case of use of this >> package, do I need to install RRO or can I just build R from GNU >> against these libraries? > > We regularly build the standard R against MKL, simply using Do you use proprietary Intel MKL or open source package like OpenBLAS ? > > ./configure --with-blas='-mkl=parallel' --with-lapack --enable-BLAS-shlib...

...t a lot from his work. | > | > However, the debate I would like to open is about if some of Microsoft R | > Open Code shall be ported from R Open to Mainstream R. | > | > There are some beneficts in R Open such as multithreaded performance: | > https://mran.microsoft.com/documents/rro/multithread/ | > | > Maybe, the R Consortium, and in particular, Microsoft R Team, could | > collaborate, if appropriate, in such duty. | > | > Thank you, | > Juan Telleria | > | > [[alternative HTML version deleted]] | > | > ___________________________________...

...his work. >> >> However, the debate I would like to open is about if some of Microsoft R >> Open Code shall be ported from R Open to Mainstream R. >> >> There are some beneficts in R Open such as multithreaded performance: >> https://mran.microsoft.com/documents/rro/multithread/ >> >> Maybe, the R Consortium, and in particular, Microsoft R Team, could >> collaborate, if appropriate, in such duty. >> >> Thank you, >> Juan Telleria >> >> [[alternative HTML version deleted]] >> >> _______________...

...ntel Parallel Studio and is a paid | >> software. Now, there is the MKL package distributed by | >> Revolutionanalytics, but I am not certain how this can be distributed | >> for free. Is there any kind of difference? In case of use of this | >> package, do I need to install RRO or can I just build R from GNU | >> against these libraries? | > | > We regularly build the standard R against MKL, simply using | | Do you use proprietary Intel MKL or open source package like OpenBLAS ? You may be able to switch at will _after_ R has been built and installed. That...

...and is a paid > | >> software. Now, there is the MKL package distributed by > | >> Revolutionanalytics, but I am not certain how this can be distributed > | >> for free. Is there any kind of difference? In case of use of this > | >> package, do I need to install RRO or can I just build R from GNU > | >> against these libraries? > | > > | > We regularly build the standard R against MKL, simply using > | > | Do you use proprietary Intel MKL or open source package like OpenBLAS ? > > You may be able to switch at will _after_ R has...

...> benefit a lot from his work. > > However, the debate I would like to open is about if some of Microsoft R > Open Code shall be ported from R Open to Mainstream R. > > There are some beneficts in R Open such as multithreaded performance: > https://mran.microsoft.com/documents/rro/multithread/ > > Maybe, the R Consortium, and in particular, Microsoft R Team, could > collaborate, if appropriate, in such duty. > > Thank you, > Juan Telleria > > [[alternative HTML version deleted]] > > ______________________________________________ > R-d...

...>> However, the debate I would like to open is about if some of Microsoft R > >> Open Code shall be ported from R Open to Mainstream R. > >> > >> There are some beneficts in R Open such as multithreaded performance: > >> https://mran.microsoft.com/documents/rro/multithread/ > >> > >> Maybe, the R Consortium, and in particular, Microsoft R Team, could > >> collaborate, if appropriate, in such duty. > >> > >> Thank you, > >> Juan Telleria > >> > >> [[alternative HTML version del...

Hola buenas noches, estos días he estado buscando pero a falta de que no encontré una solución me atreví a preguntar por este medio. Quisiera saber cual es la capacidad de análisis de R, cual es el tamaño de la base de datos que puede trabajar como máximo. Un ejemplo seria de que capacidad máxima en filas por columnas es capaz de manejar. Gracias. Wilmer Contreras. [[alternative HTML version

Dear R-devel: The Cluster administrators at KU got enthusiastic about testing R-3.2.2 with Intel MKL when I asked for some BLAS integration. Below I forward a performance report, which is encouraging, and thought you would like to know the numbers. Appears to my untrained eye there are some extraordinary speedups on Cholesky decomposition, determinants, and matrix inversion. They had

Hi Paul, We've been through this process ourselves for the Revolution R Open project. There are a number of pitfalls to avoid, but you can take a look at how we achieved it in the build scripts at: https://github.com/RevolutionAnalytics/RRO There are also some very useful notes in the R Installation guide: https://cran.r-project.org/doc/manuals/r-release/R-admin.html#BLAS Most packages do benefit from MKL (or any multi-threaded BLAS) to some degree, although the actual benefit depends on the R functions they call. Some packages (an...

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...d a rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee prep-out.log The build failed at the end: Processing files: kernel-xenU-devel-2.6.9-67.0.20.EL Checking for unpackaged file(s): /usr/lib/rpm/check-files /home/john/rpmbuild/tmp/kernel-2.6.9-67.0.20.EL-root RPM build errors: In my setup rebuilding the 2.6.9-67.0.15.EL kernel went ok Does anybody knows what I do miss or what is going wrong? For the curios: Why to recompile the kernel? I want to rebuild the kernel because I created a patch to decrease the kernel timer frequency from 1000 to 100 HZ. The CentOS4.6...

The final two examples in ?make.unique do not appear to be relevant to that function, namely rbind(data.frame(x = 1), data.frame(x = 2), data.frame(x = 3)) rbind(rbind(data.frame(x = 1), data.frame(x = 2)), data.frame(x = 3)) both producing x 1 1 2 2 3 3 (identically) on R 3.4.3 and 3.5.1. Following a brief discussion on Twitter, Rich FitzJohn [1] identified that under R 1.8.0 (circa 2003,