similar to: Problem building R with Intel MKL v10 BLAS

Hi folks, if you want to use MKL (the fast BLAS I have tested on my Thinkpad T410) with the R 2.14.0 built as Debian/Ubuntu packages available on CRAN mirror, the following tricks may works for without some known side-effects (likes openmp breaking issues), you may try to build your own libblas.so.3gf.0 with following command: $ gfortran -L/opt/intel/lib/intel64 -liomp5

Hi, I have seen a lot of problems from people trying to compile R with MKL. So I am writing my experience in case it helps and to ask one question. I installed R-2.8.1.patched in Ubuntu 9.04 (gcc 4.3.3) using MKL 10.1.1.019. I configured correctly (following MKL userguide) with : sudo ./configure --with-blas="-I/opt/intel/mkl/10.1.1.019/include -L/opt/intel/mkl/10.1.1.019/lib/em64t

Hi, I have seen a lot of problems from people trying to compile R with MKL. So I am writing my experience in case it helps and to ask one question. I installed R-2.8.1.patched in Ubuntu 9.04 (gcc 4.3.3) using MKL 10.1.1.019. I configured correctly (following MKL userguide) with : sudo ./configure --with-blas="-I/opt/intel/mkl/10.1.1.019/include -L/opt/intel/mkl/10.1.1.019/lib/em64t

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

Dear R-developers, I would appreciate any insights over compiling R 3.4 with Intel MKL -- I have been successful until R 3.3.3 but now it stops complaining about pcre though it worked without Intel MKL as follows, ./configure LDFLAGS=-L/genetics/data/software/lib CFLAGS=-fPIC -I/genetics/data/software/include --enable-R-shlib I have used, export MKL_NUM_THREADS=15 export

Hi! I've been playing with MKL for a few days and I noticed the instructions in the R Installation Administration manual [1] no longer apply. It seems that since version 10.0 (the one used by the manual), libmkl_lapack.so has been renamed/split (although the official explanations seem to imply this was already the case in 10.0 [2]). As a consequence, the instructions for dynamic linking no

On our Scientific Linux 6, there is gcc --version gcc (GCC) 4.4.7 20120313 (Red Hat 4.4.7-17) and later version (a symbolic at HOME to the system directory), export MKL=/home/jhz22/11.3.3.210/mkl export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$MKLROOT/lib/intel64 ./configure --prefix=/home/jhz22 LDFLAGS=-L/home/jhz22/lib CPPFLAGS=-I/home/jhz22/include \ --enable-R-shlib --with-lapack \

Hi, I'm trying to follow the R-admin instructions for using MKL10 as the external BLAS compiling R-2.6.2 under Linux on a RH EL head node of a cluster. The configure process seems to have problems when it checks for dgemm in the BLAS. I'm using configure as: ./configure CC=icc F77=ifort --with-lapack="$MKL" --with-blas="$MKL" where $MKL is defined as in R-admin

Hi all, I'm trying to build R from subversion with MKL 10.0.2 on Ubuntu. I tried: ./configure --with-blas='-L/opt/intel/mkl/10.0.2.018/lib/em64t -lmkl -lguide' --with-lapack='/opt/intel/mkl/10.0.2.018/lib/em64t -lmkl -lmkl_lapack' --enable-R-shlib and got: R is now configured for x86_64-unknown-linux-gnu Source directory: . Installation directory: /usr/local

Hi all, I'm trying to build R from subversion with MKL 10.0.2 on Ubuntu. I tried: ./configure --with-blas='-L/opt/intel/mkl/10.0.2.018/lib/em64t -lmkl -lguide' --with-lapack='/opt/intel/mkl/10.0.2.018/lib/em64t -lmkl -lmkl_lapack' --enable-R-shlib and got: R is now configured for x86_64-unknown-linux-gnu Source directory: . Installation directory: /usr/local

I am having trouble of compiling R 3.0.2 with MKL 11.1.0.080; tried the following resources: http://software.intel.com/en-us/articles/intel-mkl-link-line-advisor http://cran.r-project.org/doc/manuals/R-admin.html#MKL http://software.intel.com/en-us/comment/reply/328415 and getting the following: *checking for dgemm_ in -Wl,--start-group -lmkl_gf_lp64 -lmkl_gnu_thread -lmkl_core -Wl,--end-group

Hello, I compiled R-2.15.2 with linux intel compilers (see below). when I execute some R code on a // 4 proc x 4 cores // server (export MKL_NUM_THREADS = 16) very often I have the situations where only one processor (4 cores) is active instead of 4 (16 cores) ! do you know this fact depends on what ? thank you ! P.S. many functions of R are single-threaded, is there a simple way to make them

Hi all, I have the issue: icc -std=c99 -std=gnu11 -I../../src/extra -I../../src/extra/xdr -I. -I../../src/include -I../../src/include -I/usr/local/include -I../../src/nmath -DHAVE_CONFIG_H -fopenmp -fpic -g -O3 -wd188 -ip -mp -c eval.c -o eval.o arithmetic.c(66): warning #274: declaration is not visible outside of function int matherr(struct exception *exc) ^

And here's a patch for Intel Math Kernel Library. This allows commercial users of Speex to use a high-speed FFT library that isn't GPL'd. (You do need to pay for it though). This is 3 times faster than the default FFT in speex, and also faster than FFTW3 since MKL has native support for the complex packing Speex uses. Since Intel hasn't supplied any pkg-config files, and which

Note that 'intel 2022' is a bit vague. The current version is 2023.1.0, and that has both the 'classic' (icc/icpc/ifort which it seems you used) and new (icx/ixpx/ifx) compilers -- the former are said to be going to be discontinued later this year. R did not know about ifx so did not build with the new set. The parts of the manual Tomas referred to were about the old

> I would appreciate any insights over compiling R 3.4 with Intel MKL -- I have been successful until R 3.3.3 but now it stops complaining about pcre though it worked without Intel MKL as follows, I successfully built R-rc_2017-04-19_r72555.tar.gz with icc & MKL on centos 7 with this: # https://software.intel.com/en-us/articles/build-r-301-with-intel-c-compiler-and-intel-mkl-on-linux#

Hi r-devel, a recent install of R-3.4.0 RC (2017-04-13 r72510)? on Linux (Ubuntu 16.04.1 LTS) x86_64-linux-gnu? with?g++ (Ubuntu 5.4.0-6ubuntu1~16.04.4) 5.4.0 20160609 (see?http://bioconductor.org/checkResults/devel/bioc-LATEST/malbec2-NodeInfo.html?for more)? results in CXXFLAGS not containing "-O2" as optimisation flag, there is only " -Wall", while?CFLAGS are happy with

I believe that actually means configure was able to use the BLAS you specified (MKL in this case). You can scan through config.log to make sure. Andy > From: > > Fedora Core 3 > > I installed the Intel MLk, > > and tried : --with-blas="-lmkl -lguide -lpthread" > > and got : External libraries: readline, BLAS(generic) > > thus I'm

I have problems building R 2.11.1 with an external BLAS. I've tried several with several libraries: # ACML: export LD_LIBRARY_PATH=/site/VERSIONS/acml-3.6.0/gfortran64_int64/lib BLAS=--with-blas="-L/site/VERSIONS/acml-3.6.0/gfortran64_int64/lib -lacml" LAPACK=--with-lapack # MKL 11: BLAS=--with-blas="-L/site/VERSIONS/intel-11.1/mkl/lib/em64t -lmkl_gf_lp64 -lmkl_sequential

Dear R friends My goal is to eliminate this specific group(1) if the # of NAs in this group greater than 50%(specifically say greater than 3). Would you please show me how to do it. I have a sample data as following: Thanks a lot. Kevin Lin y group f1 f2 f3 30 NA 1 1 1 1 27 NA 1 1 2 2 48 NA 1 2 1 2 40 -0.6066416 1 2 2 1 24