Adding the Julia Dependencies repo then updating and upgrading the system did not change anything. "versioninfo()" gives me the same output. Shall I purge Julia and re-install it again ?
Thanks, Jan Dňa piatok, 26. septembra 2014 10:19:33 UTC+2 Ján Dolinský napísal(-a): > > Actually after more careful look, I found in Julia dependencies repo > "openblas 0.2.10.1-juliadeps1~trusty" but I thought this repo is not needed > because the description of the repo says it is meant for Ubuntu up to 13.04 > but apparently there are two packages for trusty in there ... > > Dňa piatok, 26. septembra 2014 10:14:10 UTC+2 Ján Dolinský napísal(-a): >> >> Hello, >> >> I am using the repo you mentioned. I upgraded to latest version and I get >> the following: >> versioninfo() >> Julia Version 0.3.1 >> Commit c03f413 (2014-09-21 21:30 UTC) >> Platform Info: >> System: Linux (x86_64-linux-gnu) >> CPU: Intel(R) Core(TM) i5-4300U CPU @ 1.90GHz >> WORD_SIZE: 64 >> BLAS: libblas.so.3 >> LAPACK: liblapack.so.3 >> LIBM: libopenlibm >> LLVM: libLLVM-3.3 >> >> I did not included Julia Dependencies repo because it is meant for Ubuntu >> up to 13.04. >> >> I both repos however OpenBLAS is available only for Raring, Quantal and >> Precise not for Trusty Tahr ... so I assume Julia 0.3.1~trusty1 is using >> original Ubuntu repo for linear algebra libraries and thus users of Trusty >> Tahr ends up without OpenBLAS. >> >> Best Regards, >> Jan >> >> Dňa štvrtok, 25. septembra 2014 16:57:48 UTC+2 Andreas Noack napísal(-a): >>> >>> It appears that you are not using a fast BLAS. The BLAS and LAPACK >>> entries in versioninfo() should say libopenblas instead of libblas and >>> liblapack. You should use >>> >>> https://launchpad.net/~staticfloat/+archive/ubuntu/juliareleases >>> >>> as your repo for julia. That should give you Julia with fast linear >>> algebra. >>> >>> Med venlig hilsen >>> >>> Andreas Noack >>> >>> 2014-09-25 10:36 GMT-04:00 Ján Dolinský <jan.do...@2bridgz.com>: >>> >>>> Hello, >>>> >>>> Yes, Andreas point makes sense. Sometimes you may not want threaded >>>> linear algebra routines. >>>> >>>> My current installation reports this: >>>> versioninfo() >>>> Julia Version 0.3.0 >>>> Commit 7681878 (2014-08-20 20:43 UTC) >>>> Platform Info: >>>> System: Linux (x86_64-linux-gnu) >>>> CPU: Intel(R) Core(TM) i5-4300U CPU @ 1.90GHz >>>> WORD_SIZE: 64 >>>> BLAS: libblas.so.3 >>>> LAPACK: liblapack.so.3 >>>> LIBM: libopenlibm >>>> LLVM: libLLVM-3.3 >>>> >>>> Am I using the right library ? How do I plug-in the OpenBLAS ? I am >>>> under Ubuntu 14.4.01. >>>> >>>> Thanks, >>>> Jan >>>> >>>> Dňa štvrtok, 25. septembra 2014 14:47:12 UTC+2 Andreas Noack >>>> napísal(-a): >>>>> >>>>> OpenBLAS uses threads by default, but Milan reported that Fedora's >>>>> maintainer had them disabled. Hence, unless you are using Fedora, you >>>>> should have threaded OpenBLAS. >>>>> >>>>> What is the best setup for fast linear algebra operations ? >>>>> >>>>> >>>>> That question doesn't have a single answer. Often when people want to >>>>> show performance of linear algebra libraries they run a single routine on >>>>> a >>>>> big matrix. In that case you'll often benefit from many threads. However, >>>>> in many applications you solve smaller problems many times. In this case, >>>>> many threads can actually be a problem and you could be better off with >>>>> turning off OpenBLAS threading. So it depends on your problem. >>>>> >>>>> Med venlig hilsen >>>>> >>>>> Andreas Noack >>>>> >>>>> 2014-09-25 5:52 GMT-04:00 Ján Dolinský: >>>>> >>>>>> Hello, >>>>>> >>>>>> How do I make Julia to use threaded version of OpenBLAS ? Do I have >>>>>> to compile using some special option or there is a config file ? >>>>>> What is the best setup for fast linear algebra operations ? >>>>>> >>>>>> Best Regards, >>>>>> Jan >>>>>> >>>>>> Dňa nedeľa, 21. septembra 2014 9:50:52 UTC+2 Stephan Buchert >>>>>> napísal(-a): >>>>>> >>>>>>> Wow, I have now LU a little bit faster on the latest julia Fedora >>>>>>> package than on my locally compiled julia: >>>>>>> >>>>>>> julia> versioninfo() >>>>>>> Julia Version 0.3.0 >>>>>>> Platform Info: >>>>>>> System: Linux (x86_64-redhat-linux) >>>>>>> CPU: Intel(R) Core(TM) i7-4700MQ CPU @ 2.40GHz >>>>>>> WORD_SIZE: 64 >>>>>>> BLAS: libopenblas (DYNAMIC_ARCH NO_AFFINITY Haswell) >>>>>>> LAPACK: libopenblasp.so.0 >>>>>>> LIBM: libopenlibm >>>>>>> LLVM: libLLVM-3.3 >>>>>>> >>>>>>> julia> include("code/julia/bench.jl") >>>>>>> LU decomposition, elapsed time: 0.07222901 seconds, was 0.123 >>>>>>> seconds with my julia >>>>>>> FFT , elapsed time: 0.248571629 seconds >>>>>>> >>>>>>> Thanks for making and improving the Fedora package >>>>>>> >>>>>> >>>>> >>>
