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
>>>
>>
>
