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Package Details: cula 17-2
Git Clone URL: | https://aur.archlinux.org/cula.git (read-only, click to copy) |
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Package Base: | cula |
Description: | Provides GPU-accelerated implementations of the LAPACK and BLAS libraries for dense linear algebra using CUDA. Contains routines for systems solvers, singular value decompositions, and eigenproblems. |
Upstream URL: | http://www.culatools.com/downloads/ |
Licenses: | |
Submitter: | fishburn |
Maintainer: | sigmundv |
Last Packager: | sigmundv |
Votes: | 4 |
Popularity: | 0.000000 |
First Submitted: | 2012-05-23 00:37 |
Last Updated: | 2015-07-08 23:04 |
Dependencies (5)
- acml-ifort
- bash (bash-devel-git, bash-devel-static-git)
- gcc-libs-multilib (gcc-libs-multilib-x32, gcc-libs-multilib-git, gcc-libs-git, gcc-libs)
- cuda>=5.0.0 (cuda-11.0, cuda11.1)
- wget (wget-git) (make)
Latest Comments
contrebasse commented on 2016-01-19 16:45
I can't install this package, the error says that there is no package() function in the PKGBUILD.
GloW commented on 2013-12-18 15:00
Thanks, it is working now.
fishburn commented on 2013-12-18 04:10
Sorry, CULA provides their own versions of the CUDA libraries. I had not included them as I thought it would be redundant.
But since they have not yet released a version for CUDA 5.5, I have now added their libraries to the package. Thanks.
GloW commented on 2013-12-17 16:34
With installed cuda 5.5, i get :
[glow@GlowArch ~/data/Ipag/compass/compass/trunk]$ ldd /usr/lib/libcula_lapack_basic.so
linux-vdso.so.1 (0x00007fff197fe000)
libiomp5.so => /usr/lib/libiomp5.so (0x00007f76b4b93000)
libcudart.so.5.0 => not found
libcublas.so.5.0 => not found
librt.so.1 => /usr/lib/librt.so.1 (0x00007f76b498a000)
libdl.so.2 => /usr/lib/libdl.so.2 (0x00007f76b4786000)
libm.so.6 => /usr/lib/libm.so.6 (0x00007f76b4482000)
libgcc_s.so.1 => /usr/lib/libgcc_s.so.1 (0x00007f76b426c000)
libpthread.so.0 => /usr/lib/libpthread.so.0 (0x00007f76b404f000)
libc.so.6 => /usr/lib/libc.so.6 (0x00007f76b3ca4000)
/usr/lib64/ld-linux-x86-64.so.2 (0x00007f76b7869000)
Why cula try to link with cuda 5.0 ?