similar to: Intel libraries

> Ultimately, it's Jean-Marc's call. Integrating the Intel IPP/MKL might > be a side-project for someone else to do and offer. If done right, it > can boil down to a set of compiler/linker directives (a la PGP/OpenSSL > using RSAREF) so the only sticking point would be a legal/ethical one > and not technological. Here's my take on it. I don't believe that using the

Warning: newbie post I've scanned the archives and found some discussion of porting some code so it's integer based as opposed to floating point based. Has anyone looked at using Intel's Integrated Performance Primitives or their Math Kernel Library in an effort to optimize the code across all x86/XScale processors? IPP: http://www.intel.com/software/products/ipp/ipp30/ KML:

> 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#

Dear all, Given that the Intel MKL multithreaded BLAS is now free (https://software.intel.com/en-us/mkl/choose-download, released under the very permissive Intel Simplified Software License, https://software.intel.com/en-us/license/intel-simplified-software-license) and that this BLAS comes out as the fastest in most benchmarks, and that Microsoft R Open compiled against Intel MKL seems to be

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

There is nothing here indicating any kind of error, so no way to give any insights .... And please do follow the posting guide, including not posting HTML. FWIW, I have tested R 3.4.0 RC (sic) with MKL 11.3, which is later than your 2013 ... (on x86_64 Fedora 24). On 20/04/2017 10:39, jing hua zhao wrote: > Dear R-developers, > > > I would appreciate any insights over compiling R

Hello, For education purpose, I would like to add G729 support to an Asterisk 1.4.19.1 system. I've read this : http://www.readytechnology.co.uk/open/ipp-codecs-g729-g723.1/ but when downloading Intel IPP software, it appears that latest IPP version is 5.3. As installation instructions here ( http://www.readytechnology.co.uk/open/ipp-codecs-g729-g723.1/doc-svn8.txt) relates to Intel IPP

Hi Guillaume, In principle, mycrossprod function does not need to PROTECT "ans", because it does not call any allocating function after allocating "ans" ("dgemm" in particular should not allocate from the R heap). So it is surprising that PROTECTion makes a difference in your case. I agree there is no harm protecting defensively. R itself calls dgemm with the R

I wonder if anyone has already built a Fedora package for R-MKL (did not found entry in rpmfusion)? I just installed parrallel-studio-xe-2016 and would like to build R with the Intel compiler and MKL library on Fedora 22. Shall I thus make my own rpm package to install properly R-MKL ? If yes, I guess I can use the Fedora src.rpm package as a base and modify the R.spce file ? Thank you for hints

Dear all, I would like to submit an issue that we are facing. Indeed, in our environment, we are optimizing the R code to speed up some mathematical calculations as matrix products using the INTEL libraries ( MKL) ( https://software.intel.com/en-us/mkl ) With the last version of the MKL libraries Intel 2018, we are facing to an issue with *all INTERNAL command* that are executing in R.

Hello, I am building the SPEC 2006 Benchmark with Clang as the compiler. I have written a function pass in LLVM and I am trying to run that for SPEC by invoking the pass in the build options of SPEC. The build options of SPEC are in a *.cfg config file, which allows us to specify the choice of compiler while building SPEC. (https://www.spec.org/cpu2006/Docs/install-guide-unix.html) The pass

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 \

Ryan Novosielski <novosirj at rutgers.edu> writes: > Hi there, > > I initially asked about this on r-help and was told this might be a better venue. I?m not really convinced from reading the posting guide, but I?ll give it a shot. It was also suggested that the R-Project doesn?t really care about building with ?non-standard? compilers, but I can?t find any evidence of that on the

Hello, I want to compile R-2.15.2 for Windows with Intel compilers and MKL( BLAS, LAPACK). I installed 'Rtools 2.16.0.1923' and follow the instructions of "R installation and administration" guide (3.1; A.3.1.4; C.2.2). I configured "/src/gnuwin32/MkRules.local" and "config.site" according to needed environmental variables (icc, ifort, icpc, mkl..) When

For Windows users, some instructions how to use R 4.0.0 with Intel MKL: https://linkedin.com/pulse/r-400-intel-mkl-windows-adrian-trapletti Best Regards Adrian Adrian Trapletti Steinstrasse 9b, 8610 Uster, Switzerland P +41 44 994 56 30 | M +41 79 103 71 31 adrian at trapletti.org | www.trapletti.org

For Windows users, some instructions how to use R 4.0.0 with Intel MKL: https://linkedin.com/pulse/r-400-intel-mkl-windows-adrian-trapletti Best Regards Adrian Adrian Trapletti Steinstrasse 9b, 8610 Uster, Switzerland P +41 44 994 56 30 | M +41 79 103 71 31 adrian at trapletti.org | www.trapletti.org

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 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) ^

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

Hi Team, I downloaded the R 3.0.2 and, built and installed it using Intel compilers (icc and ifort) from Intel parallel studio 2013, sp1. After performing make tried to check it using 'make check'. Most of the tests passed successfully but while checking a 'stats' package I saw many lines were printed which did not match the desired output. e.g. There