similar to: compiling r with icc

Displaying 20 results from an estimated 600 matches similar to: "compiling r with icc"

2012 Feb 10
1
Out of date instructions to build R using MKL
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
2015 Sep 04
2
Build R with MKL and ICC
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 > >
2015 Sep 02
4
Build R with MKL and ICC
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
2006 Mar 06
1
ENUM lookup issues with e164.org
Since e164.org added DNC and ADDRESS records my enum configuration has failed. Using both the old EnumLookup app and the new ENUMLOOKUP function, the lookups have consistantly failed since e164.org added E2U+ADDRESS and E2U+DNC records. Mar 6 17:39:44 WARNING[14222]: enum.c:235 parse_naptr: NAPTR Regex match failed. Mar 6 17:39:44 WARNING[14222]: enum.c:354 enum_callback: Failed to parse naptr
2007 Aug 23
2
Splitting strings
I'm having a Thursday morning mental block, any suggestions on the following would be most appreciated... I have (as an example) surgery = c("d48", "d67", "dnc37", "a75", "d10", "a78", "d31", "d55", "d1") before each number part the possibilities are c("a", "d",
2015 Sep 07
2
Build R with MKL and ICC
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
2015 Sep 29
2
Build R with MKL and ICC
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
2015 Sep 30
1
Build R with MKL and ICC
On Tue, Sep 29, 2015 at 8:11 PM, Nathan Kurz <nate at verse.com> wrote: > Hi Arnaud -- > > I'm glad it's working for you. I'm not sure I understand your final > answer. Are you saying that the version I posted worked for you as > given, or that you had to remove some of the other options? I say it works perfectly when using the single dynamic library (lmkl_rt):
2015 Sep 02
0
Build R with MKL and ICC
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
2006 Jun 26
1
Patch for rgl with gcc 4.0 in R 2.3.0 on OS X
Hi, I recently had a problem installing the rgl package on OS X and put together a simple patch. The patched package is available here: http://jinome.stanford.edu/files/rgl_0.66-patched_for_gcc4.tar.gz It can be installed with "R CMD INSTALL rgl_0.66-patched_for_gcc4.tar.gz" as normal at the command line. Also -- as of right now rgl is not in the repository of version 2.3 packages
2012 Apr 03
3
[LLVMdev] pb05 results for current llvm/dragonegg
On Tue, Apr 03, 2012 at 09:26:38AM +0200, Duncan Sands wrote: > Hi Jack, > >> Attached are the Polyhedron 2005 benchmark results for current llvm/dragonegg svn >> on x86_64-apple-darwin11 built against Xcode 4.3.2 and FSF gcc 4.6.3. > > thanks for the numbers. How does this compare to LLVM 3.0 - were there any > regressions? The results from just before
2015 Sep 05
0
Build R with MKL and ICC
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 >> > building R from source with Intel MKL and ICC. Documentation
2009 Jan 31
1
[LLVMdev] -msse3 can degrade performance
On Saturday 31 January 2009 03:42:04 Eli Friedman wrote: > On Fri, Jan 30, 2009 at 5:43 PM, Jon Harrop <jon at ffconsultancy.com> wrote: > > I just remembered an anomalous result that I stumbled upon whilst > > tweaking the command-line options to llvm-gcc. Specifically, the -msse3 > > flag > > The -msse3 flag? Does the -msse2 flag have a similar effect? Yes: $
2011 Jun 09
3
[LLVMdev] -fplugin-arg-dragonegg-enable-gcc-optzns status
Duncan, Below are the tabulated compile times and executable sizes. A) gcc 4.5.4svn using -msse3 -ffast-math -O3 -fno-tree-vectorize B) gcc 4.5.4svn/dragonegg using -msse3 -ffast-math -O3 -fno-tree-vectorize -fplugin-arg-dragonegg-enable-gcc-optzns C) gcc 4.5.4svn/dragonegg using -msse3 -ffast-math -O3 -fno-tree-vectorize Compile time (seconds) Benchmark A) stock B) gcc 4.5.4/ C)
2011 Jun 09
3
[LLVMdev] -fplugin-arg-dragonegg-enable-gcc-optzns status
Current dragonegg svn has all of the -fplugin-arg-dragonegg-enable-gcc-optzns bugs for usage with -ffast-math -O3 addressed except for those related to PR2314. Using the -fno-tree-vectorize option, we can evaluate the current state of -fplugin-arg-dragonegg-enable-gcc-optzns with the Polyhedron 2005 benchmarks compared to stock dragonegg and stock gcc 4.5.4. The runtime benchmarks below show that
2012 Apr 03
0
[LLVMdev] pb05 results for current llvm/dragonegg
On Tue, 3 Apr 2012 08:57:51 -0400 Jack Howarth <howarth at bromo.med.uc.edu> wrote: > On Tue, Apr 03, 2012 at 09:26:38AM +0200, Duncan Sands wrote: > > Hi Jack, > > > >> Attached are the Polyhedron 2005 benchmark results for current > >> llvm/dragonegg svn on x86_64-apple-darwin11 built against Xcode > >> 4.3.2 and FSF gcc 4.6.3. > > >
2012 Apr 02
6
[LLVMdev] pb05 results for current llvm/dragonegg
Attached are the Polyhedron 2005 benchmark results for current llvm/dragonegg svn on x86_64-apple-darwin11 built against Xcode 4.3.2 and FSF gcc 4.6.3. The benchmarks for -msse3 and -msse4 appear identical (at least for degg+optnz). This is fortunate since there seems to be a bug in -msse4 on 2.33 GHz (T7600) Intel Core 2 Duo Merom (http://llvm.org/bugs/show_bug.cgi?id=12434).
2011 Jun 09
3
[LLVMdev] -fplugin-arg-dragonegg-enable-gcc-optzns status
On Thu, Jun 09, 2011 at 03:44:40PM +0200, Duncan Sands wrote: > Hi Jack, thanks for doing this. > >> Below are the tabulated compile times and executable sizes. >> >> A) gcc 4.5.4svn using -msse3 -ffast-math -O3 -fno-tree-vectorize >> B) gcc 4.5.4svn/dragonegg using -msse3 -ffast-math -O3 -fno-tree-vectorize -fplugin-arg-dragonegg-enable-gcc-optzns >> C)
2012 Dec 09
3
[LLVMdev] pb05 benchmarks for llvm/dragonegg 3.2
Duncan, With the commit from http://lists.cs.uiuc.edu/pipermail/llvm-commits/Week-of-Mon-20121203/158488.html, the Polyhedron 2005 benchmarks complete again on x86_64-apple-darwin12. The result are similar to what were seen with FSF gcc 4.6.2svn and llvm/dragonegg 3.0 (which was the last release that passed pb05) http://lists.cs.uiuc.edu/pipermail/llvmdev/2011-October/044091.html. Jack
2009 Jan 31
2
[LLVMdev] -msse3 can degrade performance
I just remembered an anomalous result that I stumbled upon whilst tweaking the command-line options to llvm-gcc. Specifically, the -msse3 flag does a great job improving the performance of floating point intensive code on the SciMark2 benchmark but it also degrades the performance of the int-intensive Monte Carlo part of the test: $ llvm-gcc -Wall -lm -O3 *.c -o scimark2 $ ./scimark2 Using