[petsc-users] Question about the performance of KSP solver

Jed Brown jed at jedbrown.org
Sun Feb 27 15:24:49 CST 2022


I assume this would be running VecWAXPY on CPU (and GPU) with some empty ranks? I'd be mildly concerned about allocating GPU memory because a crash here would be really bad.

Barry Smith <bsmith at petsc.dev> writes:

>    At PetscLogView() the code could see how long the run was, if it was greater than n seconds it could automatically run a few levels of streams (taking presumably well less than a few seconds) and adjust suitable the output. If the user runs, for example, 10min they surely don't mind .5 seconds to get more useful information.
>
>
>
>> On Feb 27, 2022, at 3:41 PM, Jed Brown <jed at jedbrown.org> wrote:
>> 
>> Probably not implied by -log_view alone, but -streams_view or some such doing it automatically would save having to context switch elsewhere to obtain that data.
>> 
>> Barry Smith <bsmith at petsc.dev> writes:
>> 
>>>  We should think about have -log_view automatically running streams on subsets of ranks and using the resulting information to provide guidance to users on interpretating the -log_view output instead of expecting users to run streams themselves on their system and then figuring out what to do.
>>> 
>>>> On Feb 27, 2022, at 9:50 AM, Gong Yujie <yc17470 at connect.um.edu.mo> wrote:
>>>> 
>>>> Hi,
>>>> 
>>>> I'm using the GMRES with ASM preconditioner with sub-domain solver ILU(2) to solve an elasticity problem. First, I use 16 cores to test the computation time, then use 32 cores to run the same code with the same parameters.  But I just get about 10% speed up. From the log file I found that the computation time of KSPSolve() and MatSolve() just decrease a little bit. My PETSc version is 3.16.0 and use --with-debugging=0 when configure it. The matrix size is about 7*10^6. Some detail of the log is shown below:
>>>> 
>>>> 16-cores:
>>>> ------------------------------------------------------------------------------------------------------------------------
>>>> Event                Count      Time (sec)     Flop                              --- Global ---  --- Stage ----  Total
>>>>                   Max Ratio  Max     Ratio   Max  Ratio  Mess   AvgLen  Reduct  %T %F %M %L %R  %T %F %M %L %R Mflop/s
>>>> ------------------------------------------------------------------------------------------------------------------------
>>>> MatMult              664 1.0 5.0794e+01 1.6 2.70e+10 1.1 7.1e+04 4.8e+04 1.0e+00  7 13 49 20  0   7 13 49 20  0  8010
>>>> MatSolve             663 1.0 1.9868e+02 1.1 1.43e+11 1.1 0.0e+00 0.0e+00 0.0e+00 33 70  0  0  0  33 70  0  0  0 10932
>>>> MatLUFactorNum         1 1.0 6.1501e+00 1.1 1.40e+10 1.1 0.0e+00 0.0e+00 0.0e+00  1  7  0  0  0   1  7  0  0  0 35056
>>>> MatILUFactorSym        1 1.0 1.5566e+01 1.2 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  2  0  0  0  0   2  0  0  0  0     0
>>>> KSPSetUp               2 1.0 5.9627e-03 1.9 0.00e+00 0.0 0.0e+00 0.0e+00 2.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> KSPSolve               1 1.0 2.5168e+02 1.0 1.90e+11 1.1 1.4e+05 4.8e+04 1.3e+03 44 93 98 40 89  44 93 98 40 90 11437
>>>> KSPGMRESOrthog       641 1.0 1.8980e+01 1.7 1.82e+10 1.1 0.0e+00 0.0e+00 6.4e+02  3  9  0  0 43   3  9  0  0 44 14578
>>>> PCSetUp                2 1.0 2.2480e+01 1.1 1.40e+10 1.1 5.3e+02 6.5e+05 7.0e+00  4  7  0  2  0   4  7  0  2  0  9591
>>>> PCSetUpOnBlocks        1 1.0 2.1555e+01 1.1 1.40e+10 1.1 0.0e+00 0.0e+00 0.0e+00  3  7  0  0  0   3  7  0  0  0 10002
>>>> PCApply              663 1.0 2.0296e+02 1.1 1.43e+11 1.1 7.0e+04 4.8e+04 1.0e+00 33 70 49 20  0  33 70 49 20  0 10701
>>>> PCApplyOnBlocks      663 1.0 1.9908e+02 1.1 1.43e+11 1.1 0.0e+00 0.0e+00 0.0e+00 33 70  0  0  0  33 70  0  0  0 10910
>>>> 
>>>> 32-cores:
>>>> ------------------------------------------------------------------------------------------------------------------------
>>>> Event                Count      Time (sec)     Flop                              --- Global ---  --- Stage ----  Total
>>>>                   Max Ratio  Max     Ratio   Max  Ratio  Mess   AvgLen  Reduct  %T %F %M %L %R  %T %F %M %L %R Mflop/s
>>>> ------------------------------------------------------------------------------------------------------------------------
>>>> MatMult              671 1.0 4.7602e+01 2.0 1.39e+10 1.1 1.7e+05 2.8e+04 1.0e+00  7 13 49 23  0   7 13 49 23  0  8637
>>>> MatSolve             670 1.0 1.7800e+02 1.1 7.56e+10 1.1 0.0e+00 0.0e+00 0.0e+00 33 71  0  0  0  33 71  0  0  0 12544
>>>> MatLUFactorNum         1 1.0 3.5714e+00 1.1 7.16e+09 1.1 0.0e+00 0.0e+00 0.0e+00  1  7  0  0  0   1  7  0  0  0 60743
>>>> MatILUFactorSym        1 1.0 8.4088e+00 1.2 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  2  0  0  0  0   2  0  0  0  0     0
>>>> KSPSetUp               2 1.0 3.8060e-03 1.5 0.00e+00 0.0 0.0e+00 0.0e+00 2.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> KSPSolve               1 1.0 2.1680e+02 1.0 9.95e+10 1.1 3.5e+05 2.8e+04 1.3e+03 44 93 98 47 89  44 93 98 47 90 13592
>>>> KSPGMRESOrthog       648 1.0 1.6999e+01 2.0 9.39e+09 1.1 0.0e+00 0.0e+00 6.5e+02  2  9  0  0 43   2  9  0  0 44 16450
>>>> PCSetUp                2 1.0 1.2439e+01 1.1 7.16e+09 1.1 1.3e+03 3.7e+05 7.0e+00  2  7  0  2  0   2  7  0  2  0 17440
>>>> PCSetUpOnBlocks        1 1.0 1.1876e+01 1.1 7.16e+09 1.1 0.0e+00 0.0e+00 0.0e+00  2  7  0  0  0   2  7  0  0  0 18267
>>>> PCApply              670 1.0 1.8235e+02 1.1 7.56e+10 1.1 1.7e+05 2.7e+04 1.0e+00 34 71 49 23  0  34 71 49 23  0 12245
>>>> PCApplyOnBlocks      670 1.0 1.7838e+02 1.1 7.56e+10 1.1 0.0e+00 0.0e+00 0.0e+00 33 71  0  0  0  33 71  0  0  0 12517
>>>> 
>>>> Hope you can help me!
>>>> 
>>>> Best Regards,
>>>> Yujie


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