I was experiencing a strange pattern of slowdowns when using
sample.int(), where sampling from a one population would sometimes
take 1000x longer than taking the same number of samples from a
slightly larger population. For my application, this resulted in a
runtime of several hours rather than
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 --with-blas="-lmkl_rt -lpthread" --with-lapack
--en
Hello,
I am trying to profile a function of OpenMx
(http://openmx.psyc.virginia.edu) for CPU time. My operating system is
OS X 10.10. OpenMx contains C++ and Fortran code. I have read the
section regarding profiling compiled code in the manual
(https://cran.r-project.org/doc/manuals/r-release
On Wed, Sep 9, 2015 at 9:11 AM, Prof Brian Ripley wrote:
> On 09/09/2015 07:40, arnaud gaboury wrote:
>>
>> I built R form source succesfully on my Fedora 22 box. No errors.
>
>
> Which version of R?
3-2-1
>>
>>
>> I can read there is an issue with some manuals at build time when
>> running makei
On 09/09/2015 07:40, arnaud gaboury wrote:
I built R form source succesfully on my Fedora 22 box. No errors.
Which version of R?
I can read there is an issue with some manuals at build time when
running makeinfo, especially these two:
doc/manual/R-exts.texi
cp doc/manual/R-intro.texi
Some dis
