Re: [deal.II] Running multiple programs at the same time

2020-02-12 Thread Toni Vidal
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 
>  
> www: http://www.math.colostate.edu/~bangerth/ 
>

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Re: [deal.II] Running multiple programs at the same time

2020-02-12 Thread Toni Vidal
Hi Ahmad,

I commented the output results method but it is the times did not change 
significantly.

Toni

El dimarts, 11 febrer de 2020 22:40:42 UTC+1, Ahmad Shahba va escriure:
>
> I was just wondering how much I/O operations contribute to your timings. 
> What would happen if you minimize the I/O activities, maybe comment out 
> output_results method and see if anything changes?
>
> Regards 
> Ahmad
>
> On Tue, Feb 11, 2020 at 16:27 Toni Vidal  > wrote:
>
>> Hi David,
>>
>> 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.
>>
>> Any other idea?
>>
>>
>> El dimarts, 11 febrer de 2020 17:53:53 UTC+1, David Wells va escriure:
>>>
>>> Hi Toni, 
>>>
>>> I think that this is due to each individual program creating the same 
>>> number of threads as you have physical processors. Try adding 
>>>
>>> MultithreadInfo::set_thread_limit(1); 
>>>
>>> at the top of your code to prevent this from happening. Let us know if 
>>> this works! 
>>>
>>> Thanks, 
>>> David 
>>>
>>> On Tue, Feb 11, 2020 at 11:45 AM Toni Vidal  
>>> wrote: 
>>> > 
>>> > 
>>> > Dear deal.ii users and developers, 
>>> > 
>>> > I am currently running a deal.II based code thousands of times with 
>>> different input parameters. Each  simulation takes about 30 seconds in a 
>>> single processor. To do this, I have made a python script that runs 4 
>>> simulations at a time (using the multiprocessing module). However, each 
>>> simulation takes about 60 seconds and my have 8 cores (Intel® Core™ 
>>> i7-9700K CPU @ 3.60GHz × 8).  Is it not supposed to take approximately the 
>>> same amount of because the processors are independent? Am I 
>>> > 
>>> > In order to isolate the problem I have executed deal.II's step 6 (with 
>>> 12 cycles and 1e5 maximum solver steps) 1, 2 and 4 times at the same (using 
>>> different terminals). 
>>> > 
>>> > 1 running programs ~ 32 s user time 
>>> > 2 running programs ~ 44 s user time 
>>> > 4 running programs ~ 80 s user time 
>>> > 
>>> > Why the programs does not take the same time even though my computer 
>>> have 8 cores? 
>>> > Any idea? Am I missing something obvious? 
>>> > 
>>> > Ton Vidal 
>>> > 
>>> > -- 
>>> > The deal.II project is located at http://www.dealii.org/ 
>>> > For mailing list/forum options, see 
>>> https://groups.google.com/d/forum/dealii?hl=en 
>>> > --- 
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>>> https://groups.google.com/d/msgid/dealii/767ae142-a02d-4bc2-a454-d4c385d1b217%40googlegroups.com.
>>>  
>>>
>>>
>> -- 
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>> .
>>
>

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Re: [deal.II] Running multiple programs at the same time

2020-02-11 Thread Toni Vidal
Hi David,

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.

Any other idea?


El dimarts, 11 febrer de 2020 17:53:53 UTC+1, David Wells va escriure:
>
> Hi Toni, 
>
> I think that this is due to each individual program creating the same 
> number of threads as you have physical processors. Try adding 
>
> MultithreadInfo::set_thread_limit(1); 
>
> at the top of your code to prevent this from happening. Let us know if 
> this works! 
>
> Thanks, 
> David 
>
> On Tue, Feb 11, 2020 at 11:45 AM Toni Vidal  > wrote: 
> > 
> > 
> > Dear deal.ii users and developers, 
> > 
> > I am currently running a deal.II based code thousands of times with 
> different input parameters. Each  simulation takes about 30 seconds in a 
> single processor. To do this, I have made a python script that runs 4 
> simulations at a time (using the multiprocessing module). However, each 
> simulation takes about 60 seconds and my have 8 cores (Intel® Core™ 
> i7-9700K CPU @ 3.60GHz × 8).  Is it not supposed to take approximately the 
> same amount of because the processors are independent? Am I 
> > 
> > In order to isolate the problem I have executed deal.II's step 6 (with 
> 12 cycles and 1e5 maximum solver steps) 1, 2 and 4 times at the same (using 
> different terminals). 
> > 
> > 1 running programs ~ 32 s user time 
> > 2 running programs ~ 44 s user time 
> > 4 running programs ~ 80 s user time 
> > 
> > Why the programs does not take the same time even though my computer 
> have 8 cores? 
> > Any idea? Am I missing something obvious? 
> > 
> > Ton Vidal 
> > 
> > -- 
> > The deal.II project is located at http://www.dealii.org/ 
> > For mailing list/forum options, see 
> https://groups.google.com/d/forum/dealii?hl=en 
> > --- 
> > You received this message because you are subscribed to the Google 
> Groups "deal.II User Group" group. 
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> an email to dea...@googlegroups.com . 
> > To view this discussion on the web visit 
> https://groups.google.com/d/msgid/dealii/767ae142-a02d-4bc2-a454-d4c385d1b217%40googlegroups.com.
>  
>
>

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[deal.II] Running multiple programs at the same time

2020-02-11 Thread Toni Vidal

Dear deal.ii users and developers,

I am currently running a deal.II based code thousands of times with 
different input parameters. Each  simulation takes about 30 seconds in a 
single processor. To do this, I have made a python script that runs 4 
simulations at a time (using the multiprocessing module). However, each 
simulation takes about 60 seconds and my have 8 cores (Intel® Core™ 
i7-9700K CPU @ 3.60GHz × 8).  Is it not supposed to take approximately the 
same amount of because the processors are independent? Am I 

In order to isolate the problem I have executed deal.II's step 6 (with 12 
cycles and 1e5 maximum solver steps) 1, 2 and 4 times at the same (using 
different terminals).

1 running programs ~ 32 s user time 
2 running programs ~ 44 s user time 
4 running programs ~ 80 s user time 

Why the programs does not take the same time even though my computer have 8 
cores?
Any idea? Am I missing something obvious?

Ton Vidal

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[deal.II] Re: Configuration of PETSc

2019-09-20 Thread Toni Vidal
Hello Konrad,

I thing  PETSc PCILU does not work in parallel. You could use the 
preconditioner PETScWrappers::PreconditionBlockJacobi  that uses an ILU 
preconditioner for each process block. 

https://www.dealii.org/current/doxygen/deal.II/classPETScWrappers_1_1PreconditionBlockJacobi.html

Also youcould use HYPRE parallell ILU from petsc if you have installed it.

https://www.mcs.anl.gov/petsc/petsc-current/docs/manualpages/PC/PCHYPRE.html#PCHYPRE

 Or any other preconditioner that works in parallel. 

El divendres, 20 setembre de 2019 10:16:05 UTC+2, Konrad Simon va escriure:
>
> Dear deal.ii community,
>
> I am using deali.ii with PETSc and Trilinos. However, when I am using the 
> PETSc PreconditionILU I get an error that suggests that a solver package is 
> missing (with Trilinos it works). Petsc's PreconditionAMG works fine 
> (although not very efficiently for my problem). 
> Do I need to do any special configuration steps for PETSC? I followed the 
> instructions that are documented on the deal.ii pages on "how to configure 
> Petsc". https://www.dealii.org/current/external-libs/petsc.html
>
> Best,
> Konrad
>
> This is the error:
>
> Running using PETSc. 
> Number of active cells: 262144 
> Total number of cells: 24865 (on 7 levels) 
> Number of degrees of freedom: 1609920 (811200+798720) 
> [0]PETSC ERROR: - Error Message 
> -- 
> [0]PETSC ERROR: See 
> http://www.mcs.anl.gov/petsc/documentation/linearsolvertable.html for 
> possible LU and Cholesky solvers 
> [0]PETSC ERROR: Could not locate a solver package. Perhaps you must 
> ./configure with --download- 
> [0]PETSC ERROR: See http://www.mcs.anl.gov/petsc/documentation/faq.html 
> for trouble shooting. 
> [0]PETSC ERROR: Petsc Release Version 3.9.4, Sep, 11, 2018  
> [0]PETSC ERROR: main on a x86_64 named thunder5 by u290231 Fri Sep 20 
> 10:00:23 2019 
> [0]PETSC ERROR: Configure options --with-shared-libraries=1 --with-x=0 
> --with-mpi=yes --download-hypre=yes --with-64-bit-indices 
> --with-debugging=yes --with-hypre=yes 
> [0]PETSC ERROR: #1 MatGetFactor() line 4328 in 
> /scratch/cen/numgeo/lib/petsc-3.9.4/src/mat/interface/matrix.c 
> [0]PETSC ERROR: #2 PCSetUp_ILU() line 142 in 
> /scratch/cen/numgeo/lib/petsc-3.9.4/src/ksp/pc/impls/factor/ilu/ilu.c 
> [0]PETSC ERROR: #3 PCSetUp() line 923 in 
> /scratch/cen/numgeo/lib/petsc-3.9.4/src/ksp/pc/interface/precon.c 
> - 
> TimerOutput objects finalize timed values printed to the 
> screen by communicating over MPI in their destructors. 
> Since an exception is currently uncaught, this 
> synchronization (and subsequent output) will be skipped to 
> avoid a possible deadlock. 
> - 
> WARNING! There are options you set that were not used! 
> WARNING! could be spelling mistake, etc! 
> Option left: name:-p value: ../MsFEComplex/parameter.in 
> ERROR: Uncaught exception in MPI_InitFinalize on proc 0. Skipping 
> MPI_Finalize() to avoid a deadlock. 
>
>
>  
> Exception on processing:  
>
>  
> An error occurred in line <421> of file 
> 
>  
> in function 
>void dealii::PETScWrappers::PreconditionILU::initialize(const 
> dealii::PETScWrappers::MatrixBase&, const 
> dealii::PETScWrappers::PreconditionILU::AdditionalData&) 
> The violated condition was:  
>ierr == 0 
> Additional information:  
> deal.II encountered an error while calling a PETSc function. 
> The description of the error provided by PETSc is "See 
> http://www.mcs.anl.gov/petsc/documentation/linearsolvertable.html for 
> possible LU and Cholesky solvers". 
> The numerical value of the original error code is 92. 
>  
>
> Aborting! 
>  
> -- 
> Primary job  terminated normally, but 1 process returned 
> a non-zero exit code. Per user-direction, the job has been aborted. 
> -- 
> -- 
> mpirun detected that one or more processes exited with non-zero status, 
> thus causing 
> the job to be terminated. The first process to do so was: 
>
>  Process name: [[37149,1],0] 
>  Exit code:1 
> --
>

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