Hello Wolfgang,

The memory bus bandwidth seems the most reliable answer. But two more 
questions arise:
- Matrix-free methods would have this problems minimised?
- Will this affect also to MPI parallelization scalability in this computer?

Regards,
Toni
 

El dimarts, 11 febrer de 2020 22:37:31 UTC+1, Wolfgang Bangerth va escriure:
>
> On 2/11/20 2:27 PM, Toni Vidal wrote: 
> > 
> > That did not solve the problem with step 6. I got the same times. 
> > 
> > Indeed I have installed deal.II without  threads (DEAL_II_WITH_THREADS = 
> > OFF) and I set in my .basrc OMP_NUM_THREADS=1. 
>
> There are many other possible reasons for contention. For example, most 
> finite element programs are limited by the transfer of data from memory 
> to the processor. If you have just one program running, then only one 
> program is using the memory bus and is getting its full speed. But if 
> you have multiple programs running, then they are all competing for the 
> same bandwidth on the memory bus, and they will also be slowed down by 
> more than a single program would be. 
>
> It could also be that you have, say, 4 cores on your processor but 3 
> other programs currently running. Then running one instance of your code 
> will get a full core, but if you ran four, the total of 7 codes would 
> have to compete for 4 cores, and all would be slowed down. 
>
> By the way, to see whether your program really is using only one thread, 
> you can run the program 'top' in a separate command line window. It will 
> show you which percentage of a processor each running job takes up. 
>
> Best 
>   W. 
>
>
> -- 
> ------------------------------------------------------------------------ 
> Wolfgang Bangerth          email:                 bang...@colostate.edu 
> <javascript:> 
>                             www: http://www.math.colostate.edu/~bangerth/ 
>

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