similar to: undefined symbol: sgemv_thread_n

Den 2017-12-01 kl. 20:24, skrev Dirk Eddelbuettel: > > On 1 December 2017 at 19:55, G?ran Brostr?m wrote: > | Hello, > | > | the following is a part of a question asked on R-help. I realized that > | it is better suited for asking here. Apologies for the cross-posting! > | > | I'm on Ubuntu artful, and upgraded with 'apt'. Then > | > |

Dirk, thanks for your help. At work I have (ubuntu 16.04): ii libblas-common 3.6.0-2ubuntu2 amd64 Dependency package for all BLAS implementations ii libblas-dev 3.6.0-2ubuntu2 amd64 Basic Linear Algebra Subroutines 3, static library ii libblas3 3.6.0-2ubuntu2 amd64 Basic Linear Algebra Reference implementations, shared library and everything works before

On 1 December 2017 at 19:55, G?ran Brostr?m wrote: | Hello, | | the following is a part of a question asked on R-help. I realized that | it is better suited for asking here. Apologies for the cross-posting! | | I'm on Ubuntu artful, and upgraded with 'apt'. Then | | ---------------------------------------------------------------- | goran at M6800:~/src/R-3.4.3$ /usr/bin/R |

Hi there, On 1 December 2017 at 23:24, G?ran Brostr?m wrote: | Dirk, | | thanks for your help. At work I have (ubuntu 16.04): | | ii libblas-common 3.6.0-2ubuntu2 amd64 Dependency package for | all BLAS implementations | ii libblas-dev 3.6.0-2ubuntu2 amd64 Basic Linear Algebra | Subroutines 3, static library | ii libblas3 3.6.0-2ubuntu2 amd64 Basic Linear

The build system rolled up R-3.4.3.tar.gz (codename "Kite-Eating Tree") this morning. The list below details the changes in this release. You can get the source code from http://cran.r-project.org/src/base/R-3/R-3.4.3.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team, Peter Dalgaard

The build system rolled up R-3.4.3.tar.gz (codename "Kite-Eating Tree") this morning. The list below details the changes in this release. You can get the source code from http://cran.r-project.org/src/base/R-3/R-3.4.3.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team, Peter Dalgaard

Thanks: I installed from source and got an error when loading a package: -------------------------------------------------------------------- > library(eha) Loading required package: survival Error: package or namespace load failed for ?eha? in dyn.load(file, DLLpath = DLLpath, ...): unable to load shared object '/usr/local/lib/R/site-library/eha/libs/eha.so':

Dear all, I am estimating a mixed-model in Ubuntu Raring (13.04¸ amd64), with the code: fm0 <- lme(rt ~ run + group * stim * cond, random=list( subj=pdSymm(~ 1 + run), subj=pdSymm(~ 0 + stim)), data=mydat1) When I check the approximate variance-covariance matrix, I get: > fm0$apVar [1] "Non-positive definite

Hi, I tried to compile R with openblas on a ubuntu 12.04 machine. I have to say that I normally use the package system and that I have no experience with compiling R. I did the following: ./configure --enable-BLAS-shlib --enable-R-shlib LIBnn=lib --with-blas="-L/usr/lib/openblas-base/ -lopenblas" --enable-memory-profiling --with-x=yes go the output: R is now configured for

Dear All, Summary: ======== To test some packages, I want to build R-3.1.0 (current R devel). However, when I use the default libblas, make check fails with running code in 'reg-BLAS.R' ...make[3]: *** [reg-BLAS.Rout] Error 1 It does not fail, however, if I use libatlas3 or libopenblas. The same thing happens with the current R patched. I've google around and cannot find

Dear colleagues! In early 2009 there was a discussion about fast BLAS library initiated by Sachin. He reported a faster BLAS library made by Nvidia CUBLAS library. Uwe Ligges showed an interest for placing the optimized rblas.dll into windows/contrib section managed by him. Unfortunately there is no any CUBLAS version of rblas.dll in this section at present. So, is anybody interested in CUBLAS

Il 30/04/20 03:39, Dirk Eddelbuettel ha scritto: > > On 30 April 2020 at 03:26, Samuele Carcagno wrote: > | I'm not familiar with the internals of `viridisLite`, so I'm not sure > | I'd be able to help there. I could open a bug report on the > | `viridisLite` repo and see if the author has suggestions on how to > | narrow down the issue. > > It would help if

Dear list, What is the recommended incantation on Fedora 32 to swap out the openblas BLAS that the packaged (rpm) version of R-core installs for ATLAS? I'm running into some problems with some big models I want to fit using the mgcv package, and openblas is apparently not thread safe and is causing problems. I have the following installed: $ dnf list installed | grep ^R R-core.x86_64

Has anyone succeeded in getting a parallel BLAS, such as Goto's BLAS, installed on a machine running Ubuntu 11.10? I currently have the libatlas3gf-base package installed on a machine with an AMD Athlon X4 processor. I tried to install the libopenblas-base and libopenblas-dev packages but there seemed to be a glich related to having both libopenblas and libatlas3gf installed so that when I

Of course, even a simpler trick is to launch R as follows: LD_PRELOAD=/lib64/atlas/libsatlas.so.3 R and then the symbols in libsatlas take precedence over libopenblas. Or a mix between both alternatives, i.e., setting LD_PRELOAD=/path/to/some/link R and then change that link to point to openblas, atlas... Whatever suits you best. I?aki On Wed, 27 May 2020 at 11:00, I?aki Ucar <iucar at

Thank you very much Dirk! Le mer. 13 mai 2020 ? 14:59, Dirk Eddelbuettel <edd at debian.org> a ?crit : > > Salut Adrien, > > It appears to be a bad OpenMP and and OpenBLAS interaction you can (for > now) > avoid) by replacing the 'pthread' variant of OpenBLAS with the OpenMP > version > (see the thread for details). Doing > > sudo apt install

Hello R-sig-debian and (hopefully) Dirk: On Debian wheezy, I have the R packaging that CRAN (you) provide. I run into a little trouble while trying to fiddle with alternative BLAS. I know you and I went around on this last year and I think perhaps I've found something wrong in the framework, or I've just done something wrong. I installed the packages openblas-base and openblas-dev, and

Hi, I work in a large CUDA codebase and use Clang to build some of our CUDA code to improve compilation speed. We're planning to upgrade to CUDA 11 soon, and it appears that CUDA 11 is not yet supported in LLVM. >From the LLVM commits history, I can see that work on CUDA 11 has started. Is this currently being worked on? What is the remaining work left? And is any help needed to finish

I didn't do the compile; is there a way to check whether that was used? If not, I'll inquire with our sysadmin and report back. In any case, my suggestion was motivated by the fact that some parts of R use OpenMP while others do not, in the hope that the former could have their OpenBLAS omelet without breaking the OpenMP eggs, so to speak. On 01/09/2018 06:41 PM, Keith O'Hara

I run Fedora 22 R package. It is build with --with-lapack \ --with-blas \ --enable-R-shlib \. As the machine will act as a server with lots of R data computing, I try to optimize my R package. At first, I installed parallel_studio_xe_2016 with a free one year licence. Then, I build a package for R with Intel MKL and compiler. This took me lots of time as it was my first .rmp build. I finally