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 >>>>>> >>>>> >>>> >>
