similar to: R-2.1.0 compilation with Intel icc and ifort

Full_Name: Reinhold Bader Version: 2.1.0 OS: SLES 9 Submission from: (NULL) (129.187.48.1) I tried to build R using the Intel compilers (icc, ifort) and the Math Kernel Libraries for BLAS/LAPACK Optimizations used were -O3, and the FPICFLAGS="-fpic" was exported. The build failed with the following error message: ... dumping R code in package 'methods' Saving namespace image

Hi, I got the following problem when I type make. The error is not enough verbose to me so I can find the problem. Please cc me, I'm not subscribed. Thanks, Mathieu --------------------------- make[4]: `vfonts.so' is up to date. building system startup profile building package 'base' all.R is unchanged ../../../library/base/R/base is unchanged dyld: lazy symbol binding failed:

Two post-doctoral positions are available from the Brain Physiology Laboratory in Paris (France). The first position is available immediately to work on spike sorting and spike train analysis. It consists in both data analysis and methods development. Familiarity with neurophysiology is not required. Familiarity with R and with some of the methodologies used: clustering, classification,

Hello r-bugs, I am running openSuse 11.0, with my new Intel 8500 (Penryn) C2D, and I want to use icc and ifort. I was able to get a working Goto BLAS, following Dr. Goto's instructions. That seems to work OK with gcc and gfortran. I get about 10% faster computations by using -O3 rather than -O2. I get faster results with Goto BLAS rather than the R BLAS. Now I want to make icc and ifort

Hi all, I've uploaded STAR (Spike Train Analysis with R) on CRAN two days ago. The package is designed to analyze neuronal spike (action potential) trains. It uses S3 classes and methods and makes heavy use of other CRAN packages like gss, R2HTML, mgcv, survival. * Analysis of both spontaneous and stimulus evoked activity is implemented for single neuron spike trains as well as for many

Hi all, I've uploaded STAR (Spike Train Analysis with R) on CRAN two days ago. The package is designed to analyze neuronal spike (action potential) trains. It uses S3 classes and methods and makes heavy use of other CRAN packages like gss, R2HTML, mgcv, survival. * Analysis of both spontaneous and stimulus evoked activity is implemented for single neuron spike trains as well as for many

Hi all, The new version of STAR (0.2-2) is now available on CRAN. * An error in function varianceTime has been corrected (thanks to Chong Gu). * The vignette has been updated. * A new vignette is available on STAR web sire: http://sites.google.com/site/spiketrainanalysiswithr/ * The new goodness-of-fit test for spike train models announced in the previous release in now fully functional

Hi all, The new version of STAR (0.2-2) is now available on CRAN. * An error in function varianceTime has been corrected (thanks to Chong Gu). * The vignette has been updated. * A new vignette is available on STAR web sire: http://sites.google.com/site/spiketrainanalysiswithr/ * The new goodness-of-fit test for spike train models announced in the previous release in now fully functional

Hi, I am running Linux (64 bit) R, compiled under gnu compilers. I am looking to compile a Fortran program with the ifort (the intel compiler) and then be able to import that as a library into my version of R. I am using the flags FC=ifort and SHLIB_FCLD=ifort, however ifort does not seem to recognize the libR.so file. Does any one have experience with this/know of a a way to load an ifort

Hello everyone, I'm working on a package using S4 classes and methods and I ran into the following "problem" when I tried to create an "apply" method for objects of one of my new classes. I've found a way around the problem but I wonder if I did not paint myself into the corner. I'd like your opinion about that. So I have an object "myObj" of class

Hi, There is something I don't get with object of class "mle" returned by a function I wrote. More precisely it's about the behaviour of method "confint" and "profile" applied to these object. I've written a short function (see below) whose arguments are: 1) A univariate sample (arising from a gamma, log-normal or whatever). 2) A character string

I am having trouble compiling R-2.6.2 on suse linux x86_64 using the intel compiler. I read section C.2.1 Intel compilers in the R Installation and Administration manual, and put CC=icc CFLAGS="-g -O3 -wd188 -ip" F77=ifort FFLAGS="-g -O3" ICC_LIBS=/opt/intel/cce/10.1.012/lib IFC_LIBS=/opt/intel/fce/10.1.012/lib/ LDFLAGS="-L$ICC_LIBS -L$IFC_LIBS -L/usr/lib64"

arnaud gaboury <arnaud.gaboury at gmail.com> writes: > 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 > much explanations about configure options. > As I am not sure if mine is correct, I would appreciate some

On Fri, Sep 4, 2015, 9:24 AM Bj?rn-Helge Mevik <b.h.mevik at usit.uio.no> wrote: arnaud gaboury <arnaud.gaboury at gmail.com> writes: > 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 > much explanations about

On Sat, 2015-09-05 at 11:53 +0200, arnaud gaboury wrote: > On Fri, Sep 4, 2015 at 5:58 PM, Martyn Plummer <plummerm at iarc.fr> wrote: > > 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

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 much explanations about configure options. As I am not sure if mine is correct, I would appreciate some advices and hints. OS: Fedora 22 parallel_studio_xe_2016 Hardware : 8 Thread(s) per

On Wed, Sep 9, 2015 at 11:26 PM, Nathan Kurz <nate at verse.com> wrote: > > As a short and simple approach, I just compiled the current R release > on Ubuntu with ICC and MKL using just this: > > $ tar -xzf R-3.2.2.tar.gz > $ cd R-3.2.2 > $ CC=icc CXX=icpc AR=xiar LD=xild CFLAGS="-g -O3 -xHost" CXXFLAGS="-g > -O3 -xHost" ./configure

Bugs compiling R-1.7.1 with Intel compilers icc and ifc, on x86-computer (Pentium IV) and linux operating system Hello, as there aren't many reports about that issue, I'll give a little report here. (Hope I don't bother anyone) The best thing about using icc and ifc are the warnings, because it is said that the Intel compilers are stricter and give more precise warnings than gcc.

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 > much explanations about configure options. > As I am not sure if mine is

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 > >