similar to: configure can't find dgemm in MKL10

If I configure in R-patched and R-devel, with the same options to configure, then R-patched says checking for ATL_xerbla in -latlas... yes checking for cblas_dgemm in -lcblas... yes checking for dgemm_ in -lf77blas... yes which R-devel says checking for ATL_xerbla in -latlas... yes checking for cblas_dgemm in -lcblas... yes checking for dgemm in -lf77blas... no This is on the same computer and

Hi all, I have a C function, say Cfun, that calls Lapack's DGEMM routine and I need to create a shared library to use Cfun inside R. The C file is the following #include<stdio.h> #include<R.h> #include<R_ext/Lapack.h> void Cfun(double *res, double *X, int *n, int *q) { char *ptr_TRANSA, TRANSA='T', *ptr_TRANSB, TRANSB='N'; ptr_TRANSA=&TRANSA;

NO Hi. I'm not sure if this is an R-help or R-devel problem, so I'm starting here in the hope that someone can help (and willing to go to the other list if it's more appropriate). I think I am following all of the instructions in the various manuals, but clearly I am missing something. I have an Intel EM64T Dell with 2 dual-core Xeon processors running Red Hat EL5. I would

Looking at parLapplyLB, one sees that it takes in X and then passes splitList(X, length(cl)) to clusterApplyLB, which then calls dynamicClusterApply. Thus while dynamicClusterApply does handle tasks in a load-balancing fashion, sending out individual tasks as previous tasks complete, parLapplyLB preempts that by splitting up the tasks in advance into as many groups of tasks as there are cluster

Hello. I am a Linux neophyte and know almost nothing ?about compiling, so I would appreciate any help and advice y'all would care to offer. I am trying to compile the 64 bit version of R using a tuned ATLAS and LAPACK (ATLAS 3.9.24). I am running Ubunto 10.04 LTS (through wubi, FWIW). The ATLAS and LAPACK files (atlas.so, f77blas.so, lapack.so, and cblas.so) are sitting in the folder

Hi, I want to install "Matrix" using > install.packages("Matrix") After a while I get: checking whether we are using GNU C... yes checking whether gcc accepts -g... yes checking for ATL_xerbla in -latlas... no checking for dgemm_ in -lcxml... no checking for dgemm_ in -ldxml... no checking for dgemm_ in -lscs... no checking for dgemm_ in -lcomplib.sgimath... no checking

Dear R-devel, I've written a numerical solver for SOCPs (second order cone programs) in R, and now I want to move most of the solver code into C for speed. I've written combined R/C packages before, but in this case I need to do matrix operations in my C code. As I have never done that before, I'm trying to write some simple examples to make sure I understand the basics. I am stuck

Hi I am new to writing C code and am trying to write an R extension in C. I have hit a wall with F77_CALL(dgemm) in that it produces wrong results. The code below is a simplified example that multiplies the matrices Ab and Bm to give Cm. The results below show clearly that Cm is wrong. Am= 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Bm= 1 1 1 1 1

So, tried again from scratch. Again, CentOS 5.3, which is essentially RHEL 5.3. ./configure --with-blas="-L/opt/acml4.3.0/gfortran64/lib -lacml" In config.log, get things like configure:37199: checking for dgemm_ in -L/opt/acml4.3.0/gfortran64/lib -lacml configure:37230: gcc -std=gnu99 -o conftest -g -O2 -I/usr/local/include -L/usr/local/lib64 conftest.c

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

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

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

Hello. I know almost nothing about Linux, so I apologize if the answer to this is obvious. I am trying to compile R with ATLAS (successfully compiled 3.9.24 on Ubuntu 10.04 64 bit). I configured with: ./configure --enable-R-shlib --enable-BLAS-shlib --with-blas="-L/usr/local/atlas/lib -lf77blas -latlas" --with-lapack="-L/usr/local/atlaslib -llapack -lcblas" --with-x and I

Hello. I know almost nothing about Linux, so I apologize if the answer to this is obvious. I am trying to compile R with ATLAS (successfully compiled 3.9.24 on Ubuntu 10.04 64 bit). I configured with: ./configure --enable-R-shlib --enable-BLAS-shlib --with-blas="-L/usr/local/atlas/lib -lf77blas -latlas" --with-lapack="-L/usr/local/atlaslib -llapack -lcblas" --with-x and I

I am trying to get R to use the ACML BLAS, specifically the 'mp' version for multithreading. I have installed acml-4-4-0-gfortran-64bit I added /opt/acml4.4.0/gfortran64_mp/lib to $LD_LIBRARY_PATH. I ran: sudo ./configure --with-blas="-L/opt/acml4.4.0/gfortran64_mp/lib -lacml_mp" At the end of the configuration, the only external library listed is readline, and at the end

I've used R for a couple of years on FreeBSD with few problems. Recently, a couple of the contributed packages seem to have difficulty finding symbols in the shared libraries. Currently, I'm running R 1.3.1 on FreeBSD 4.4. I've tried setting LD_LIBRARY_PATH to /usr/local/lib and some other things. The packages I've had trouble with are: Matrix 0.3.15 RODBC 0.8.3 RSPython 0.3

When I run the gam function as part of an optimization and do the optimization many times using a loop, I'm finding that memory use increases over time (based on simply monitoring top). Below is some example code that involves varying the penalty parameter in gam, trying to find the value that gives exactly 50 edf for a simple smoothing problem. I thought I would post to the list to see if

On Wed, 2015-09-02 at 20:49 +0200, arnaud gaboury wrote: > On Wed, Sep 2, 2015 at 7:35 PM, arnaud gaboury <arnaud.gaboury at gmail.com> wrote: > > After a few days of reading and headache, I finally gave a try at > > building R from source with Intel MKL and ICC. Documentation and posts > > on this topic are rather incomplete, sometime fantasist et do not give > >