Thanks Barry.
I actually tried the application myself with my optimized build + your option. I'm attaching two logs for a strong scaling analysis, if someone could spend a minute or two looking at the numbers I'd be really grateful: 1) MatAssembly still takes a rather long time IMHO. This is actually the bottleneck of my application. Especially on 1600 cores, the problem here is that I don't know if the huge time (almost a 5x slow-down w.r.t. the run on 320 cores) is due to MatMPIAIJSetPreallocationCSR (which I assumed beforehand was a no-op, but which is clearly not the case looking at the run on 320 cores) or the the option -pc_bjacobi_blocks 320 which also does one MatAssembly. 2) The other bottleneck is MatMult, which itself calls VecScatter. Since the structure of the matrix is rather dense, I'm guessing the communication pattern should be similar to an all-to-all. After having a look at the thread "VecScatter scaling problem on KNL", would you also suggest me to use -vecscatter_alltoall, or do you think this would not be appropriate for the MatMult?

Thank you very much,
Pierre

On Mon, 6 Mar 2017 09:34:53 -0600, Barry Smith wrote:
I don't think the lack of the --with-debugging=no is important here.
Though he/she should use --with-debugging=no for production runs.

   I think the reason for the "funny" numbers is that
MatAssemblyBegin and End in this case have explicit synchronization
points so some processes are waiting for other processes to get to the synchronization point thus it looks like some processes are spending a
lot of time in the assembly routines when they are not really, they
are just waiting.

   You can remove the synchronization point by calling

    MatSetOption(mat, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE); before
calling MatMPIAIJSetPreallocationCSR()

   Barry

On Mar 6, 2017, at 8:59 AM, Pierre Jolivet <[email protected]> wrote:

Hello,
I have an application with a matrix with lots of nonzero entries (that are perfectly load balanced between processes and rows). A end user is currently using a PETSc library compiled with the following flags (among others): --CFLAGS=-O2 --COPTFLAGS=-O3 --CXXFLAGS="-O2 -std=c++11" --CXXOPTFLAGS=-O3 --FFLAGS=-O2 --FOPTFLAGS=-O3
Notice the lack of --with-debugging=no
The matrix is assembled using MatMPIAIJSetPreallocationCSR and we end up with something like that in the -log_view: MatAssemblyBegin 2 1.0 1.2520e+002602.1 0.00e+00 0.0 0.0e+00 0.0e+00 8.0e+00 0 0 0 0 2 0 0 0 0 2 0 MatAssemblyEnd 2 1.0 4.5104e+01 1.0 0.00e+00 0.0 8.2e+05 3.2e+04 4.6e+01 40 0 14 4 9 40 0 14 4 9 0

For reference, here is what the matrix looks like (keep in mind it is well balanced)
 Mat Object:   640 MPI processes
   type: mpiaij
   rows=10682560, cols=10682560
   total: nonzeros=51691212800, allocated nonzeros=51691212800
   total number of mallocs used during MatSetValues calls =0
     not using I-node (on process 0) routines

Are MatAssemblyBegin/MatAssemblyEnd highly sensitive to the --with-debugging option on x86 even though the corresponding code is compiled with -O2, i.e., should I tell the user to have its PETSc lib recompiled, or would you recommend me to use another routine for assembling such a matrix?

Thanks,
Pierre

Attachment: AD-3D-320_7531028.o
Description: application/object

Attachment: AD-3D-1600_7513074.o
Description: application/object

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