[petsc-users] Performance of SLEPc's Krylov-Schur solver

Walker Andreas awalker at student.ethz.ch
Fri May 1 07:31:20 CDT 2020


Hi Jed, Hi Jose,

Thank you very much for your suggestions.

 - I tried reducing the subspace to 64 which indeed reduced the runtime by around 20 percent (sometimes more) for 128 cores. I will check what the effect on the sequential runtime is.
 - Regarding MatNest, I can just look for the eigenvalues of a submatrix to see how the speedup is affected; I will check that. Replacing the full matnest with a contiguous matrix is definitely more work but, if it improves the performance, worth the work (we assume that the program will be reused a lot).
 - Petsc is configured with mumps, openblas, scalapack (among others). But I noticed no significant difference to when petsc is configured without them.
 - The number of iterations required by the solver does not depend on the number of cores.

Best regards and many thanks,

Andreas Walker

> Am 01.05.2020 um 14:12 schrieb Jed Brown <jed at jedbrown.org>:
> 
> "Jose E. Roman" <jroman at dsic.upv.es> writes:
> 
>> Comments related to PETSc:
>> 
>> - If you look at the "Reduct" column you will see that MatMult() is doing a lot of global reductions, which is bad for scaling. This is due to MATNEST (other Mat types do not do that). I don't know the details of MATNEST, maybe Matt can comment on this.
> 
> It is not intrinsic to MatNest, though use of MatNest incurs extra
> VecScatter costs.  If you use MatNest without VecNest, then
> VecGetSubVector incurs significant cost (including reductions).  I
> suspect it's likely that some SLEPc functionality is not available with
> VecNest.  A better option would be to optimize VecGetSubVector by
> caching the IS and subvector, at least in the contiguous case.
> 
> How difficult would it be for you to run with a monolithic matrix
> instead of MatNest?  It would certainly be better at amortizing
> communication costs.
> 
>> 
>> Comments related to SLEPc.
>> 
>> - The last rows (DSSolve, DSVectors, DSOther) correspond to "sequential" computations. In your case they take a non-negligible time (around 30 seconds). You can try to reduce this time by reducing the size of the projected problem, e.g. running with -eps_nev 100 -eps_mpd 64 (see https://slepc.upv.es/documentation/current/docs/manualpages/EPS/EPSSetDimensions.html )
>> 
>> - In my previous comment about multithreaded BLAS, I was refering to configuring PETSc with MKL, OpenBLAS or similar. But anyway, I don't think this is relevant here.
>> 
>> - Regarding the number of iterations, yes the number of iterations should be the same for different runs if you keep the same number of processes, but when you change the number of processes there might be significant differences for some problems, that is the rationale of my suggestion. Anyway, in your case the fluctuation does not seem very important.
>> 
>> Jose
>> 
>> 
>>> El 1 may 2020, a las 10:07, Walker Andreas <awalker at student.ethz.ch> escribió:
>>> 
>>> Hi Matthew,
>>> 
>>> I just ran the same program on a single core. You can see the output of -log_view below. As I see it, most functions have speedups of around 50 for 128 cores, also functions like matmult etc.
>>> 
>>> Best regards,
>>> 
>>> Andreas
>>> 
>>> ************************************************************************************************************************
>>> ***             WIDEN YOUR WINDOW TO 120 CHARACTERS.  Use 'enscript -r -fCourier9' to print this document            ***
>>> ************************************************************************************************************************
>>> 
>>> ---------------------------------------------- PETSc Performance Summary: ----------------------------------------------
>>> 
>>> ./Solver on a  named eu-a6-011-09 with 1 processor, by awalker Fri May  1 04:03:07 2020
>>> Using Petsc Release Version 3.10.5, Mar, 28, 2019 
>>> 
>>>                         Max       Max/Min     Avg       Total 
>>> Time (sec):           3.092e+04     1.000   3.092e+04
>>> Objects:              6.099e+05     1.000   6.099e+05
>>> Flop:                 9.313e+13     1.000   9.313e+13  9.313e+13
>>> Flop/sec:             3.012e+09     1.000   3.012e+09  3.012e+09
>>> MPI Messages:         0.000e+00     0.000   0.000e+00  0.000e+00
>>> MPI Message Lengths:  0.000e+00     0.000   0.000e+00  0.000e+00
>>> MPI Reductions:       0.000e+00     0.000
>>> 
>>> Flop counting convention: 1 flop = 1 real number operation of type (multiply/divide/add/subtract)
>>>                            e.g., VecAXPY() for real vectors of length N --> 2N flop
>>>                            and VecAXPY() for complex vectors of length N --> 8N flop
>>> 
>>> Summary of Stages:   ----- Time ------  ----- Flop ------  --- Messages ---  -- Message Lengths --  -- Reductions --
>>>                        Avg     %Total     Avg     %Total    Count   %Total     Avg         %Total    Count   %Total 
>>> 0:      Main Stage: 3.0925e+04 100.0%  9.3134e+13 100.0%  0.000e+00   0.0%  0.000e+00        0.0%  0.000e+00   0.0% 
>>> 
>>> ------------------------------------------------------------------------------------------------------------------------
>>> See the 'Profiling' chapter of the users' manual for details on interpreting output.
>>> Phase summary info:
>>>   Count: number of times phase was executed
>>>   Time and Flop: Max - maximum over all processors
>>>                  Ratio - ratio of maximum to minimum over all processors
>>>   Mess: number of messages sent
>>>   AvgLen: average message length (bytes)
>>>   Reduct: number of global reductions
>>>   Global: entire computation
>>>   Stage: stages of a computation. Set stages with PetscLogStagePush() and PetscLogStagePop().
>>>      %T - percent time in this phase         %F - percent flop in this phase
>>>      %M - percent messages in this phase     %L - percent message lengths in this phase
>>>      %R - percent reductions in this phase
>>>   Total Mflop/s: 10e-6 * (sum of flop over all processors)/(max time over all processors)
>>> ------------------------------------------------------------------------------------------------------------------------
>>> 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
>>> ------------------------------------------------------------------------------------------------------------------------
>>> 
>>> --- Event Stage 0: Main Stage
>>> 
>>> MatMult           152338 1.0 8.2799e+03 1.0 8.20e+12 1.0 0.0e+00 0.0e+00 0.0e+00 27  9  0  0  0  27  9  0  0  0   990
>>> MatMultAdd        609352 1.0 8.1229e+03 1.0 8.20e+12 1.0 0.0e+00 0.0e+00 0.0e+00 26  9  0  0  0  26  9  0  0  0  1010
>>> MatConvert            30 1.0 1.5797e+00 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> MatScale              10 1.0 4.7172e-02 1.0 6.73e+07 1.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0  1426
>>> MatAssemblyBegin     516 1.0 2.0695e-04 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> MatAssemblyEnd       516 1.0 2.8933e+00 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> MatZeroEntries         2 1.0 3.6038e-02 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> MatView               10 1.0 2.4422e+00 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> MatAXPY               40 1.0 3.1595e-01 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> MatMatMult            60 1.0 1.3723e+01 1.0 1.24e+09 1.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0    90
>>> MatMatMultSym        100 1.0 1.3651e+01 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> MatMatMultNum        100 1.0 7.5159e+00 1.0 2.06e+09 1.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0   274
>>> MatMatMatMult         40 1.0 1.8674e+01 1.0 1.66e+09 1.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0    89
>>> MatMatMatMultSym      40 1.0 1.1848e+01 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> MatMatMatMultNum      40 1.0 6.8266e+00 1.0 1.66e+09 1.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0   243
>>> MatPtAP               40 1.0 1.9042e+01 1.0 1.66e+09 1.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0    87
>>> MatTrnMatMult         40 1.0 7.7990e+00 1.0 8.24e+08 1.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0   106
>>> DMPlexStratify         1 1.0 5.1223e-02 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> DMPlexPrealloc         2 1.0 1.5242e+00 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> VecSet            914053 1.0 1.4929e+02 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> VecAssemblyBegin       1 1.0 1.3411e-07 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> VecAssemblyEnd         1 1.0 8.0094e-08 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> VecScatterBegin        1 1.0 2.6399e-04 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> VecSetRandom          10 1.0 8.6088e-02 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> EPSSetUp              10 1.0 2.9988e+00 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> EPSSolve              10 1.0 2.8695e+04 1.0 9.31e+13 1.0 0.0e+00 0.0e+00 0.0e+00 93100  0  0  0  93100  0  0  0  3246
>>> STSetUp               10 1.0 9.7291e-05 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> STApply           152338 1.0 8.2803e+03 1.0 8.20e+12 1.0 0.0e+00 0.0e+00 0.0e+00 27  9  0  0  0  27  9  0  0  0   990
>>> BVCopy              1814 1.0 1.1076e+00 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> BVMultVec         304639 1.0 9.8281e+03 1.0 3.34e+13 1.0 0.0e+00 0.0e+00 0.0e+00 32 36  0  0  0  32 36  0  0  0  3397
>>> BVMultInPlace       1824 1.0 7.0999e+02 1.0 1.79e+13 1.0 0.0e+00 0.0e+00 0.0e+00  2 19  0  0  0   2 19  0  0  0 25213
>>> BVDotVec          304639 1.0 9.8037e+03 1.0 3.36e+13 1.0 0.0e+00 0.0e+00 0.0e+00 32 36  0  0  0  32 36  0  0  0  3427
>>> BVOrthogonalizeV  152348 1.0 1.9633e+04 1.0 6.70e+13 1.0 0.0e+00 0.0e+00 0.0e+00 63 72  0  0  0  63 72  0  0  0  3411
>>> BVScale           152348 1.0 3.7888e+01 1.0 5.32e+10 1.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0  1403
>>> BVSetRandom           10 1.0 8.6364e-02 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> DSSolve             1824 1.0 1.7363e+01 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> DSVectors           2797 1.0 1.2353e-01 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> DSOther             1824 1.0 9.8627e+00 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>> ------------------------------------------------------------------------------------------------------------------------
>>> 
>>> Memory usage is given in bytes:
>>> 
>>> Object Type          Creations   Destructions     Memory  Descendants' Mem.
>>> Reports information only for process 0.
>>> 
>>> --- Event Stage 0: Main Stage
>>> 
>>>           Container     1              1          584     0.
>>>    Distributed Mesh     1              1         5184     0.
>>>    GraphPartitioner     1              1          624     0.
>>>              Matrix   320            320   3469402576     0.
>>>           Index Set    53             53      2777932     0.
>>>   IS L to G Mapping     1              1       249320     0.
>>>             Section    13             11         7920     0.
>>>   Star Forest Graph     6              6         4896     0.
>>>     Discrete System     1              1          936     0.
>>>              Vector 609405          609405  857220847896     0.
>>>         Vec Scatter     1              1          704     0.
>>>              Viewer    22             11         9328     0.
>>>          EPS Solver    10             10        86360     0.
>>>  Spectral Transform    10             10         8400     0.
>>>       Basis Vectors    10             10       530336     0.
>>>         PetscRandom    10             10         6540     0.
>>>              Region    10             10         6800     0.
>>>       Direct Solver    10             10      9838880     0.
>>>       Krylov Solver    10             10        13920     0.
>>>      Preconditioner    10             10        10080     0.
>>> ========================================================================================================================
>>> Average time to get PetscTime(): 2.50991e-08
>>> #PETSc Option Table entries:
>>> -config=benchmark3.json
>>> -eps_converged_reason
>>> -log_view
>>> #End of PETSc Option Table entries
>>> Compiled without FORTRAN kernels
>>> Compiled with full precision matrices (default)
>>> sizeof(short) 2 sizeof(int) 4 sizeof(long) 8 sizeof(void*) 8 sizeof(PetscScalar) 8 sizeof(PetscInt) 4
>>> Configure options: --prefix=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/petsc-3.10.5-3czpbqhprn65yalty4o46knmhytixlit --with-ssl=0 --download-c2html=0 --download-sowing=0 --download-hwloc=0 CFLAGS="-ftree-vectorize -O2 -march=core-avx2 -fPIC -mavx2" FFLAGS= CXXFLAGS="-ftree-vectorize -O2 -march=core-avx2 -fPIC -mavx2" --with-cc=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/bin/mpicc --with-cxx=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/bin/mpic++ --with-fc=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/bin/mpif90 --with-precision=double --with-scalar-type=real --with-shared-libraries=1 --with-debugging=0 --with-64-bit-indices=0 COPTFLAGS= FOPTFLAGS= CXXOPTFLAGS= --with-blaslapack-lib=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openblas-0.2.20-cot3cawsqf4pkxjwzjexaykbwn2ch3ii/lib/libopenblas.so --with-x=0 --with-cxx-dialect=C++11 --with-boost=1 --with-clanguage=C --with-scalapack-lib=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/netlib-scalapack-2.0.2-bq6sqixlc4zwxpfrtbu7jt7twhps5ldv/lib/libscalapack.so --with-scalapack=1 --with-metis=1 --with-metis-dir=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/metis-5.1.0-bqbfmcvyqigdaeetkg6fuhdh4eplu3fk --with-hdf5=1 --with-hdf5-dir=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hdf5-1.10.1-sbxt5qlg2pojshva2b6kdflsy64i4rs5 --with-hypre=1 --with-hypre-dir=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hypre-2.14.0-ly5dmcaty5wx4opqwspvoim6zss6sxne --with-parmetis=1 --with-parmetis-dir=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/parmetis-4.0.3-ik3r6faxeb6uzyywppuc2niuvivwiux4 --with-mumps=1 --with-mumps-dir=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/mumps-5.1.1-36fzslrywwsg7gxnoxbjbzwuz6o74n6b --with-trilinos=1 --with-trilinos-dir=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/trilinos-12.14.1-hcdtxkqirqt6wkui3vkie5qse64payqo --with-fftw=0 --with-cxx-dialect=C++11 --with-superlu_dist-include=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/superlu-dist-6.1.1-ejpmx43wk4vplnmry5n5njvgqvcvfe6x/include --with-superlu_dist-lib=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/superlu-dist-6.1.1-ejpmx43wk4vplnmry5n5njvgqvcvfe6x/lib/libsuperlu_dist.a --with-superlu_dist=1 --with-suitesparse-include=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/include --with-suitesparse-lib="/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libumfpack.so /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libklu.so /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libcholmod.so /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libbtf.so /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libccolamd.so /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libcolamd.so /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libcamd.so /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libamd.so /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libsuitesparseconfig.so /lib64/librt.so" --with-suitesparse=1 --with-zlib-include=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/zlib-1.2.11-bu2rglshnlxrwc24334r76jr34jm2fxy/include --with-zlib-lib=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/zlib-1.2.11-bu2rglshnlxrwc24334r76jr34jm2fxy/lib/libz.so --with-zlib=1
>>> -----------------------------------------
>>> Libraries compiled on 2020-01-22 15:21:53 on eu-c7-051-02 
>>> Machine characteristics: Linux-3.10.0-862.14.4.el7.x86_64-x86_64-with-centos-7.5.1804-Core
>>> Using PETSc directory: /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/petsc-3.10.5-3czpbqhprn65yalty4o46knmhytixlit
>>> Using PETSc arch: 
>>> -----------------------------------------
>>> 
>>> Using C compiler: /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/bin/mpicc -ftree-vectorize -O2 -march=core-avx2 -fPIC -mavx2     
>>> Using Fortran compiler: /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/bin/mpif90       
>>> -----------------------------------------
>>> 
>>> Using include paths: -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/petsc-3.10.5-3czpbqhprn65yalty4o46knmhytixlit/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/trilinos-12.14.1-hcdtxkqirqt6wkui3vkie5qse64payqo/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/mumps-5.1.1-36fzslrywwsg7gxnoxbjbzwuz6o74n6b/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/superlu-dist-6.1.1-ejpmx43wk4vplnmry5n5njvgqvcvfe6x/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hypre-2.14.0-ly5dmcaty5wx4opqwspvoim6zss6sxne/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hdf5-1.10.1-sbxt5qlg2pojshva2b6kdflsy64i4rs5/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/parmetis-4.0.3-ik3r6faxeb6uzyywppuc2niuvivwiux4/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/metis-5.1.0-bqbfmcvyqigdaeetkg6fuhdh4eplu3fk/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/zlib-1.2.11-bu2rglshnlxrwc24334r76jr34jm2fxy/include
>>> -----------------------------------------
>>> 
>>> Using C linker: /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/bin/mpicc
>>> Using Fortran linker: /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/bin/mpif90
>>> Using libraries: -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/petsc-3.10.5-3czpbqhprn65yalty4o46knmhytixlit/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/petsc-3.10.5-3czpbqhprn65yalty4o46knmhytixlit/lib -lpetsc -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/trilinos-12.14.1-hcdtxkqirqt6wkui3vkie5qse64payqo/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/trilinos-12.14.1-hcdtxkqirqt6wkui3vkie5qse64payqo/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/mumps-5.1.1-36fzslrywwsg7gxnoxbjbzwuz6o74n6b/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/mumps-5.1.1-36fzslrywwsg7gxnoxbjbzwuz6o74n6b/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/netlib-scalapack-2.0.2-bq6sqixlc4zwxpfrtbu7jt7twhps5ldv/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/netlib-scalapack-2.0.2-bq6sqixlc4zwxpfrtbu7jt7twhps5ldv/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib /lib64/librt.so -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/superlu-dist-6.1.1-ejpmx43wk4vplnmry5n5njvgqvcvfe6x/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/superlu-dist-6.1.1-ejpmx43wk4vplnmry5n5njvgqvcvfe6x/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hypre-2.14.0-ly5dmcaty5wx4opqwspvoim6zss6sxne/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hypre-2.14.0-ly5dmcaty5wx4opqwspvoim6zss6sxne/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openblas-0.2.20-cot3cawsqf4pkxjwzjexaykbwn2ch3ii/lib  -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openblas-0.2.20-cot3cawsqf4pkxjwzjexaykbwn2ch3ii/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hdf5-1.10.1-sbxt5qlg2pojshva2b6kdflsy64i4rs5/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hdf5-1.10.1-sbxt5qlg2pojshva2b6kdflsy64i4rs5/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/parmetis-4.0.3-ik3r6faxeb6uzyywppuc2niuvivwiux4/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/parmetis-4.0.3-ik3r6faxeb6uzyywppuc2niuvivwiux4/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/metis-5.1.0-bqbfmcvyqigdaeetkg6fuhdh4eplu3fk/lib  -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/metis-5.1.0-bqbfmcvyqigdaeetkg6fuhdh4eplu3fk/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/zlib-1.2.11-bu2rglshnlxrwc24334r76jr34jm2fxy/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/zlib-1.2.11-bu2rglshnlxrwc24334r76jr34jm2fxy/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hwloc-1.11.9-a436y6rdahnn57u6oe6snwemjhcfmrso/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hwloc-1.11.9-a436y6rdahnn57u6oe6snwemjhcfmrso/lib -Wl,-rpath,/cluster/apps/lsf/10.1/linux2.6-glibc2.3-x86_64/lib -L/cluster/apps/lsf/10.1/linux2.6-glibc2.3-x86_64/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-4.8.5/gcc-6.3.0-sqhtfh32p5gerbkvi5hih7cfvcpmewvj/lib:/cluster/spack/apps/linux-centos7-x86_64/gcc-4.8.5/gcc-6.3.0-sqhtfh32p5gerbkvi5hih7cfvcpmewvj/lib64 -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-4.8.5/gcc-6.3.0-sqhtfh32p5gerbkvi5hih7cfvcpmewvj/lib/gcc/x86_64-pc-linux-gnu/6.3.0 -L/cluster/spack/apps/linux-centos7-x86_64/gcc-4.8.5/gcc-6.3.0-sqhtfh32p5gerbkvi5hih7cfvcpmewvj/lib/gcc/x86_64-pc-linux-gnu/6.3.0 -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-4.8.5/gcc-6.3.0-sqhtfh32p5gerbkvi5hih7cfvcpmewvj/lib64 -L/cluster/spack/apps/linux-centos7-x86_64/gcc-4.8.5/gcc-6.3.0-sqhtfh32p5gerbkvi5hih7cfvcpmewvj/lib64 -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-4.8.5/gcc-6.3.0-sqhtfh32p5gerbkvi5hih7cfvcpmewvj/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-4.8.5/gcc-6.3.0-sqhtfh32p5gerbkvi5hih7cfvcpmewvj/lib -lmuelu-adapters -lmuelu-interface -lmuelu -lstratimikos -lstratimikosbelos -lstratimikosaztecoo -lstratimikosamesos -lstratimikosml -lstratimikosifpack -lModeLaplace -lanasaziepetra -lanasazi -lmapvarlib -lsuplib_cpp -lsuplib_c -lsuplib -lsupes -laprepro_lib -lchaco -lio_info_lib -lIonit -lIotr -lIohb -lIogs -lIogn -lIovs -lIopg -lIoexo_fac -lIopx -lIofx -lIoex -lIoss -lnemesis -lexoIIv2for32 -lexodus_for -lexodus -lmapvarlib -lsuplib_cpp -lsuplib_c -lsuplib -lsupes -laprepro_lib -lchaco -lio_info_lib -lIonit -lIotr -lIohb -lIogs -lIogn -lIovs -lIopg -lIoexo_fac -lIopx -lIofx -lIoex -lIoss -lnemesis -lexoIIv2for32 -lexodus_for -lexodus -lbelosxpetra -lbelosepetra -lbelos -lml -lifpack -lpamgen_extras -lpamgen -lamesos -lgaleri-xpetra -lgaleri-epetra -laztecoo -lisorropia -lxpetra-sup -lxpetra -lthyraepetraext -lthyraepetra -lthyracore -lthyraepetraext -lthyraepetra -lthyracore -lepetraext -ltrilinosss -ltriutils -lzoltan -lepetra -lsacado -lrtop -lkokkoskernels -lteuchoskokkoscomm -lteuchoskokkoscompat -lteuchosremainder -lteuchosnumerics -lteuchoscomm -lteuchosparameterlist -lteuchosparser -lteuchoscore -lteuchoskokkoscomm -lteuchoskokkoscompat -lteuchosremainder -lteuchosnumerics -lteuchoscomm -lteuchosparameterlist -lteuchosparser -lteuchoscore -lkokkosalgorithms -lkokkoscontainers -lkokkoscore -lkokkosalgorithms -lkokkoscontainers -lkokkoscore -lgtest -lpthread -lcmumps -ldmumps -lsmumps -lzmumps -lmumps_common -lpord -lscalapack -lumfpack -lklu -lcholmod -lbtf -lccolamd -lcolamd -lcamd -lamd -lsuitesparseconfig -lsuperlu_dist -lHYPRE -lopenblas -lhdf5hl_fortran -lhdf5_fortran -lhdf5_hl -lhdf5 -lparmetis -lmetis -lm -lz -lstdc++ -ldl -lmpi_usempif08 -lmpi_usempi_ignore_tkr -lmpi_mpifh -lmpi -lgfortran -lm -lgfortran -lm -lgcc_s -lquadmath -lpthread -lstdc++ -ldl
>>> -----------------------------------------
>>> 
>>> 
>>>> Am 30.04.2020 um 17:14 schrieb Matthew Knepley <knepley at gmail.com>:
>>>> 
>>>> On Thu, Apr 30, 2020 at 10:55 AM Walker Andreas <awalker at student.ethz.ch> wrote:
>>>> Hello everyone,
>>>> 
>>>> I have used SLEPc successfully on a FEM-related project. Even though it is very powerful overall, the speedup I measure is a bit below my expectations. Compared to using a single core, the speedup is for example around 1.8 for two cores but only maybe 50-60 for 128 cores and maybe 70 or 80 for 256 cores. Some details about my problem:
>>>> 
>>>> - The problem is based on meshes with up to 400k degrees of freedom. DMPlex is used for organizing it.
>>>> - ParMetis is used to partition the mesh. This yields a stiffness matrix where the vast majority of entries is in the diagonal blocks (i.e. looking at the rows owned by a core, there is a very dense square-shaped region around the diagonal and some loosely scattered nozeroes in the other columns).
>>>> - The actual matrix from which I need eigenvalues is a 2x2 block matrix, saved as MATNEST - matrix. Each of these four matrices is computed based on the stiffness matrix and has a similar size and nonzero pattern. For a mesh of 200k dofs, one such matrix has a size of about 174kx174k and on average about 40 nonzeroes per row.
>>>> - I use the default Krylov-Schur solver and look for the 100 smallest eigenvalues
>>>> - The output of -log_view for the 200k-dof - mesh described above run on 128 cores is at the end of this mail.
>>>> 
>>>> I noticed that the problem matrices are not perfectly balanced, i.e. the number of rows per core might vary between 2500 and 3000, for example. But I am not sure if this is the main reason for the poor speedup.
>>>> 
>>>> I tried to reduce the subspace size but without effect. I also attempted to use the shift-and-invert spectral transformation but the MATNEST-type prevents this.
>>>> 
>>>> Are there any suggestions to improve the speedup further or is this the maximum speedup that I can expect?
>>>> 
>>>> Can you also give us the performance for this problem on one node using the same number of cores per node? Then we can calculate speedup
>>>> and look at which functions are not speeding up.
>>>> 
>>>>  Thanks,
>>>> 
>>>>     Matt
>>>> 
>>>> Thanks a lot in advance,
>>>> 
>>>> Andreas Walker
>>>> 
>>>> m&m group
>>>> D-MAVT
>>>> ETH Zurich
>>>> 
>>>> ************************************************************************************************************************
>>>> ***             WIDEN YOUR WINDOW TO 120 CHARACTERS.  Use 'enscript -r -fCourier9' to print this document            ***
>>>> ************************************************************************************************************************
>>>> 
>>>> ---------------------------------------------- PETSc Performance Summary: ----------------------------------------------
>>>> 
>>>> ./Solver on a  named eu-g1-050-2 with 128 processors, by awalker Thu Apr 30 15:50:22 2020
>>>> Using Petsc Release Version 3.10.5, Mar, 28, 2019 
>>>> 
>>>>                         Max       Max/Min     Avg       Total 
>>>> Time (sec):           6.209e+02     1.000   6.209e+02
>>>> Objects:              6.068e+05     1.001   6.063e+05
>>>> Flop:                 9.230e+11     1.816   7.212e+11  9.231e+13
>>>> Flop/sec:             1.487e+09     1.816   1.161e+09  1.487e+11
>>>> MPI Messages:         1.451e+07     2.999   8.265e+06  1.058e+09
>>>> MPI Message Lengths:  6.062e+09     2.011   5.029e+02  5.321e+11
>>>> MPI Reductions:       1.512e+06     1.000
>>>> 
>>>> Flop counting convention: 1 flop = 1 real number operation of type (multiply/divide/add/subtract)
>>>>                            e.g., VecAXPY() for real vectors of length N --> 2N flop
>>>>                            and VecAXPY() for complex vectors of length N --> 8N flop
>>>> 
>>>> Summary of Stages:   ----- Time ------  ----- Flop ------  --- Messages ---  -- Message Lengths --  -- Reductions --
>>>>                        Avg     %Total     Avg     %Total    Count   %Total     Avg         %Total    Count   %Total 
>>>> 0:      Main Stage: 6.2090e+02 100.0%  9.2309e+13 100.0%  1.058e+09 100.0%  5.029e+02      100.0%  1.512e+06 100.0% 
>>>> 
>>>> ------------------------------------------------------------------------------------------------------------------------
>>>> See the 'Profiling' chapter of the users' manual for details on interpreting output.
>>>> Phase summary info:
>>>>   Count: number of times phase was executed
>>>>   Time and Flop: Max - maximum over all processors
>>>>                  Ratio - ratio of maximum to minimum over all processors
>>>>   Mess: number of messages sent
>>>>   AvgLen: average message length (bytes)
>>>>   Reduct: number of global reductions
>>>>   Global: entire computation
>>>>   Stage: stages of a computation. Set stages with PetscLogStagePush() and PetscLogStagePop().
>>>>      %T - percent time in this phase         %F - percent flop in this phase
>>>>      %M - percent messages in this phase     %L - percent message lengths in this phase
>>>>      %R - percent reductions in this phase
>>>>   Total Mflop/s: 10e-6 * (sum of flop over all processors)/(max time over all processors)
>>>> ------------------------------------------------------------------------------------------------------------------------
>>>> 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
>>>> ------------------------------------------------------------------------------------------------------------------------
>>>> 
>>>> --- Event Stage 0: Main Stage
>>>> 
>>>> BuildTwoSided         20 1.0 2.3249e-01 2.2 0.00e+00 0.0 2.2e+04 4.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> BuildTwoSidedF       317 1.0 8.5016e-01 4.8 0.00e+00 0.0 2.1e+04 1.4e+04 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> MatMult           150986 1.0 2.1963e+02 1.3 8.07e+10 1.8 1.1e+09 5.0e+02 1.2e+06 31  9100100 80  31  9100100 80 37007
>>>> MatMultAdd        603944 1.0 1.6209e+02 1.4 8.07e+10 1.8 1.1e+09 5.0e+02 0.0e+00 23  9100100  0  23  9100100  0 50145
>>>> MatConvert            30 1.0 1.6488e-02 2.2 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> MatScale              10 1.0 1.0347e-03 3.9 6.68e+05 1.8 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0 65036
>>>> MatAssemblyBegin     916 1.0 8.6715e-01 1.4 0.00e+00 0.0 2.1e+04 1.4e+04 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> MatAssemblyEnd       916 1.0 2.0682e-01 1.1 0.00e+00 0.0 4.7e+05 1.3e+02 1.5e+03  0  0  0  0  0   0  0  0  0  0     0
>>>> MatZeroEntries        42 1.0 7.2787e-03 2.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> MatView               10 1.0 1.4816e+00 1.0 0.00e+00 0.0 6.4e+03 1.3e+05 3.0e+01  0  0  0  0  0   0  0  0  0  0     0
>>>> MatAXPY               40 1.0 1.0752e-02 1.9 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> MatTranspose          80 1.0 3.0198e-03 1.4 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> MatMatMult            60 1.0 3.0391e-01 1.0 7.82e+06 1.6 3.8e+05 2.8e+02 7.8e+02  0  0  0  0  0   0  0  0  0  0  2711
>>>> MatMatMultSym         60 1.0 2.4238e-01 1.0 0.00e+00 0.0 3.3e+05 2.4e+02 7.2e+02  0  0  0  0  0   0  0  0  0  0     0
>>>> MatMatMultNum         60 1.0 5.8508e-02 1.0 7.82e+06 1.6 4.7e+04 5.7e+02 0.0e+00  0  0  0  0  0   0  0  0  0  0 14084
>>>> MatPtAP               40 1.0 4.5617e-01 1.0 1.59e+07 1.6 3.3e+05 1.0e+03 6.4e+02  0  0  0  0  0   0  0  0  0  0  3649
>>>> MatPtAPSymbolic       40 1.0 2.6002e-01 1.0 0.00e+00 0.0 1.7e+05 6.5e+02 2.8e+02  0  0  0  0  0   0  0  0  0  0     0
>>>> MatPtAPNumeric        40 1.0 1.9293e-01 1.0 1.59e+07 1.6 1.5e+05 1.5e+03 3.2e+02  0  0  0  0  0   0  0  0  0  0  8629
>>>> MatTrnMatMult         40 1.0 2.3801e-01 1.0 6.09e+06 1.8 1.8e+05 1.0e+03 6.4e+02  0  0  0  0  0   0  0  0  0  0  2442
>>>> MatTrnMatMultSym      40 1.0 1.6962e-01 1.0 0.00e+00 0.0 1.7e+05 4.4e+02 6.4e+02  0  0  0  0  0   0  0  0  0  0     0
>>>> MatTrnMatMultNum      40 1.0 6.9000e-02 1.0 6.09e+06 1.8 9.7e+03 1.1e+04 0.0e+00  0  0  0  0  0   0  0  0  0  0  8425
>>>> MatGetLocalMat       240 1.0 4.9149e-02 1.6 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> MatGetBrAoCol        160 1.0 2.0470e-02 1.6 0.00e+00 0.0 3.3e+05 4.1e+02 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> MatTranspose_SeqAIJ_FAST      80 1.0 2.9940e-03 1.4 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> Mesh Partition         1 1.0 1.4825e+00 1.0 0.00e+00 0.0 9.8e+04 6.9e+01 6.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> Mesh Migration         1 1.0 3.6680e-02 1.0 0.00e+00 0.0 1.5e+03 1.4e+04 6.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> DMPlexDistribute       1 1.0 1.5269e+00 1.0 0.00e+00 0.0 1.0e+05 3.5e+02 1.2e+01  0  0  0  0  0   0  0  0  0  0     0
>>>> DMPlexDistCones        1 1.0 1.8845e-02 1.2 0.00e+00 0.0 1.0e+03 1.7e+04 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> DMPlexDistLabels       1 1.0 9.7280e-04 1.2 0.00e+00 0.0 0.0e+00 0.0e+00 3.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> DMPlexDistData         1 1.0 3.1499e-01 1.4 0.00e+00 0.0 9.8e+04 4.3e+01 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> DMPlexStratify         2 1.0 9.3421e-02 1.8 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
>>>> DMPlexPrealloc         2 1.0 3.5980e-02 1.0 0.00e+00 0.0 4.0e+04 1.8e+03 3.0e+01  0  0  0  0  0   0  0  0  0  0     0
>>>> SFSetGraph            20 1.0 1.6069e-05 2.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> SFSetUp               20 1.0 2.8043e-01 1.9 0.00e+00 0.0 6.7e+04 5.0e+02 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> SFBcastBegin          25 1.0 3.9653e-02 2.5 0.00e+00 0.0 6.1e+04 4.9e+02 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> SFBcastEnd            25 1.0 9.0128e-02 1.6 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> SFReduceBegin         10 1.0 4.3473e-04 5.5 0.00e+00 0.0 7.4e+03 4.0e+03 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> SFReduceEnd           10 1.0 5.7962e-03 1.3 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> SFFetchOpBegin         2 1.0 1.6069e-0434.7 0.00e+00 0.0 1.8e+03 4.4e+03 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> SFFetchOpEnd           2 1.0 8.9251e-04 2.6 0.00e+00 0.0 1.8e+03 4.4e+03 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> VecSet            302179 1.0 1.3128e+00 2.3 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> VecAssemblyBegin       1 1.0 1.3844e-03 7.3 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> VecAssemblyEnd         1 1.0 3.4710e-05 4.1 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> VecScatterBegin   603945 1.0 2.2874e+01 4.4 0.00e+00 0.0 1.1e+09 5.0e+02 1.0e+00  2  0100100  0   2  0100100  0     0
>>>> VecScatterEnd     603944 1.0 8.2651e+01 4.5 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  7  0  0  0  0   7  0  0  0  0     0
>>>> VecSetRandom          11 1.0 2.7061e-03 3.1 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> EPSSetUp              10 1.0 5.0371e-02 1.1 0.00e+00 0.0 0.0e+00 0.0e+00 4.0e+01  0  0  0  0  0   0  0  0  0  0     0
>>>> EPSSolve              10 1.0 6.1329e+02 1.0 9.23e+11 1.8 1.1e+09 5.0e+02 1.5e+06 99100100100100  99100100100100 150509
>>>> STSetUp               10 1.0 2.5475e-04 2.9 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> STApply           150986 1.0 2.1997e+02 1.3 8.07e+10 1.8 1.1e+09 5.0e+02 1.2e+06 31  9100100 80  31  9100100 80 36950
>>>> BVCopy              1791 1.0 5.1953e-03 1.5 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> BVMultVec         301925 1.0 1.5007e+02 3.1 3.31e+11 1.8 0.0e+00 0.0e+00 0.0e+00 14 36  0  0  0  14 36  0  0  0 220292
>>>> BVMultInPlace       1801 1.0 8.0080e+00 1.8 1.78e+11 1.8 0.0e+00 0.0e+00 0.0e+00  1 19  0  0  0   1 19  0  0  0 2222543
>>>> BVDotVec          301925 1.0 3.2807e+02 1.4 3.33e+11 1.8 0.0e+00 0.0e+00 3.0e+05 47 36  0  0 20  47 36  0  0 20 101409
>>>> BVOrthogonalizeV  150996 1.0 4.0292e+02 1.1 6.64e+11 1.8 0.0e+00 0.0e+00 3.0e+05 62 72  0  0 20  62 72  0  0 20 164619
>>>> BVScale           150996 1.0 4.1660e-01 3.2 5.27e+08 1.8 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0 126494
>>>> BVSetRandom           10 1.0 2.5061e-03 2.9 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> DSSolve             1801 1.0 2.0764e+01 1.1 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  3  0  0  0  0   3  0  0  0  0     0
>>>> DSVectors           2779 1.0 1.2691e-01 1.1 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00  0  0  0  0  0   0  0  0  0  0     0
>>>> DSOther             1801 1.0 1.2944e+01 1.0 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
>>>> ------------------------------------------------------------------------------------------------------------------------
>>>> 
>>>> Memory usage is given in bytes:
>>>> 
>>>> Object Type          Creations   Destructions     Memory  Descendants' Mem.
>>>> Reports information only for process 0.
>>>> 
>>>> --- Event Stage 0: Main Stage
>>>> 
>>>>           Container     1              1          584     0.
>>>>    Distributed Mesh     6              6        29160     0.
>>>>    GraphPartitioner     2              2         1244     0.
>>>>              Matrix  1104           1104    136615232     0.
>>>>           Index Set   930            930      9125912     0.
>>>>   IS L to G Mapping     3              3      2235608     0.
>>>>             Section    28             26        18720     0.
>>>>   Star Forest Graph    30             30        25632     0.
>>>>     Discrete System     6              6         5616     0.
>>>>         PetscRandom    11             11         7194     0.
>>>>              Vector 604372          604372   8204816368     0.
>>>>         Vec Scatter   203            203       272192     0.
>>>>              Viewer    21             10         8480     0.
>>>>          EPS Solver    10             10        86360     0.
>>>>  Spectral Transform    10             10         8400     0.
>>>>       Basis Vectors    10             10       530848     0.
>>>>              Region    10             10         6800     0.
>>>>       Direct Solver    10             10      9838880     0.
>>>>       Krylov Solver    10             10        13920     0.
>>>>      Preconditioner    10             10        10080     0.
>>>> ========================================================================================================================
>>>> Average time to get PetscTime(): 3.49944e-08
>>>> Average time for MPI_Barrier(): 5.842e-06
>>>> Average time for zero size MPI_Send(): 8.72551e-06
>>>> #PETSc Option Table entries:
>>>> -config=benchmark3.json
>>>> -log_view
>>>> #End of PETSc Option Table entries
>>>> Compiled without FORTRAN kernels
>>>> Compiled with full precision matrices (default)
>>>> sizeof(short) 2 sizeof(int) 4 sizeof(long) 8 sizeof(void*) 8 sizeof(PetscScalar) 8 sizeof(PetscInt) 4
>>>> Configure options: --prefix=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/petsc-3.10.5-3czpbqhprn65yalty4o46knmhytixlit --with-ssl=0 --download-c2html=0 --download-sowing=0 --download-hwloc=0 CFLAGS="-ftree-vectorize -O2 -march=core-avx2 -fPIC -mavx2" FFLAGS= CXXFLAGS="-ftree-vectorize -O2 -march=core-avx2 -fPIC -mavx2" --with-cc=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/bin/mpicc --with-cxx=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/bin/mpic++ --with-fc=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/bin/mpif90 --with-precision=double --with-scalar-type=real --with-shared-libraries=1 --with-debugging=0 --with-64-bit-indices=0 COPTFLAGS= FOPTFLAGS= CXXOPTFLAGS= --with-blaslapack-lib=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openblas-0.2.20-cot3cawsqf4pkxjwzjexaykbwn2ch3ii/lib/libopenblas.so --with-x=0 --with-cxx-dialect=C++11 --with-boost=1 --with-clanguage=C --with-scalapack-lib=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/netlib-scalapack-2.0.2-bq6sqixlc4zwxpfrtbu7jt7twhps5ldv/lib/libscalapack.so --with-scalapack=1 --with-metis=1 --with-metis-dir=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/metis-5.1.0-bqbfmcvyqigdaeetkg6fuhdh4eplu3fk --with-hdf5=1 --with-hdf5-dir=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hdf5-1.10.1-sbxt5qlg2pojshva2b6kdflsy64i4rs5 --with-hypre=1 --with-hypre-dir=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hypre-2.14.0-ly5dmcaty5wx4opqwspvoim6zss6sxne --with-parmetis=1 --with-parmetis-dir=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/parmetis-4.0.3-ik3r6faxeb6uzyywppuc2niuvivwiux4 --with-mumps=1 --with-mumps-dir=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/mumps-5.1.1-36fzslrywwsg7gxnoxbjbzwuz6o74n6b --with-trilinos=1 --with-trilinos-dir=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/trilinos-12.14.1-hcdtxkqirqt6wkui3vkie5qse64payqo --with-fftw=0 --with-cxx-dialect=C++11 --with-superlu_dist-include=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/superlu-dist-6.1.1-ejpmx43wk4vplnmry5n5njvgqvcvfe6x/include --with-superlu_dist-lib=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/superlu-dist-6.1.1-ejpmx43wk4vplnmry5n5njvgqvcvfe6x/lib/libsuperlu_dist.a --with-superlu_dist=1 --with-suitesparse-include=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/include --with-suitesparse-lib="/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libumfpack.so /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libklu.so /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libcholmod.so /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libbtf.so /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libccolamd.so /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libcolamd.so /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libcamd.so /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libamd.so /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib/libsuitesparseconfig.so /lib64/librt.so" --with-suitesparse=1 --with-zlib-include=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/zlib-1.2.11-bu2rglshnlxrwc24334r76jr34jm2fxy/include --with-zlib-lib=/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/zlib-1.2.11-bu2rglshnlxrwc24334r76jr34jm2fxy/lib/libz.so --with-zlib=1
>>>> -----------------------------------------
>>>> Libraries compiled on 2020-01-22 15:21:53 on eu-c7-051-02 
>>>> Machine characteristics: Linux-3.10.0-862.14.4.el7.x86_64-x86_64-with-centos-7.5.1804-Core
>>>> Using PETSc directory: /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/petsc-3.10.5-3czpbqhprn65yalty4o46knmhytixlit
>>>> Using PETSc arch: 
>>>> -----------------------------------------
>>>> 
>>>> Using C compiler: /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/bin/mpicc -ftree-vectorize -O2 -march=core-avx2 -fPIC -mavx2     
>>>> Using Fortran compiler: /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/bin/mpif90       
>>>> -----------------------------------------
>>>> 
>>>> Using include paths: -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/petsc-3.10.5-3czpbqhprn65yalty4o46knmhytixlit/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/trilinos-12.14.1-hcdtxkqirqt6wkui3vkie5qse64payqo/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/mumps-5.1.1-36fzslrywwsg7gxnoxbjbzwuz6o74n6b/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/superlu-dist-6.1.1-ejpmx43wk4vplnmry5n5njvgqvcvfe6x/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hypre-2.14.0-ly5dmcaty5wx4opqwspvoim6zss6sxne/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hdf5-1.10.1-sbxt5qlg2pojshva2b6kdflsy64i4rs5/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/parmetis-4.0.3-ik3r6faxeb6uzyywppuc2niuvivwiux4/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/metis-5.1.0-bqbfmcvyqigdaeetkg6fuhdh4eplu3fk/include -I/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/zlib-1.2.11-bu2rglshnlxrwc24334r76jr34jm2fxy/include
>>>> -----------------------------------------
>>>> 
>>>> Using C linker: /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/bin/mpicc
>>>> Using Fortran linker: /cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/bin/mpif90
>>>> Using libraries: -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/petsc-3.10.5-3czpbqhprn65yalty4o46knmhytixlit/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/petsc-3.10.5-3czpbqhprn65yalty4o46knmhytixlit/lib -lpetsc -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/trilinos-12.14.1-hcdtxkqirqt6wkui3vkie5qse64payqo/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/trilinos-12.14.1-hcdtxkqirqt6wkui3vkie5qse64payqo/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/mumps-5.1.1-36fzslrywwsg7gxnoxbjbzwuz6o74n6b/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/mumps-5.1.1-36fzslrywwsg7gxnoxbjbzwuz6o74n6b/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/netlib-scalapack-2.0.2-bq6sqixlc4zwxpfrtbu7jt7twhps5ldv/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/netlib-scalapack-2.0.2-bq6sqixlc4zwxpfrtbu7jt7twhps5ldv/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/suite-sparse-5.1.0-sk4v2rs7dfpese3zgsyigwtv2w66v2gz/lib /lib64/librt.so -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/superlu-dist-6.1.1-ejpmx43wk4vplnmry5n5njvgqvcvfe6x/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/superlu-dist-6.1.1-ejpmx43wk4vplnmry5n5njvgqvcvfe6x/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hypre-2.14.0-ly5dmcaty5wx4opqwspvoim6zss6sxne/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hypre-2.14.0-ly5dmcaty5wx4opqwspvoim6zss6sxne/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openblas-0.2.20-cot3cawsqf4pkxjwzjexaykbwn2ch3ii/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openblas-0.2.20-cot3cawsqf4pkxjwzjexaykbwn2ch3ii/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hdf5-1.10.1-sbxt5qlg2pojshva2b6kdflsy64i4rs5/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hdf5-1.10.1-sbxt5qlg2pojshva2b6kdflsy64i4rs5/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/parmetis-4.0.3-ik3r6faxeb6uzyywppuc2niuvivwiux4/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/parmetis-4.0.3-ik3r6faxeb6uzyywppuc2niuvivwiux4/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/metis-5.1.0-bqbfmcvyqigdaeetkg6fuhdh4eplu3fk/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/metis-5.1.0-bqbfmcvyqigdaeetkg6fuhdh4eplu3fk/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/zlib-1.2.11-bu2rglshnlxrwc24334r76jr34jm2fxy/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/zlib-1.2.11-bu2rglshnlxrwc24334r76jr34jm2fxy/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hwloc-1.11.9-a436y6rdahnn57u6oe6snwemjhcfmrso/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/hwloc-1.11.9-a436y6rdahnn57u6oe6snwemjhcfmrso/lib -Wl,-rpath,/cluster/apps/lsf/10.1/linux2.6-glibc2.3-x86_64/lib -L/cluster/apps/lsf/10.1/linux2.6-glibc2.3-x86_64/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-6.3.0/openmpi-3.0.1-k6n5k3l3baqlkdw3w7il7dwb6wilr6r6/lib -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-4.8.5/gcc-6.3.0-sqhtfh32p5gerbkvi5hih7cfvcpmewvj/lib:/cluster/spack/apps/linux-centos7-x86_64/gcc-4.8.5/gcc-6.3.0-sqhtfh32p5gerbkvi5hih7cfvcpmewvj/lib64 -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-4.8.5/gcc-6.3.0-sqhtfh32p5gerbkvi5hih7cfvcpmewvj/lib/gcc/x86_64-pc-linux-gnu/6.3.0 -L/cluster/spack/apps/linux-centos7-x86_64/gcc-4.8.5/gcc-6.3.0-sqhtfh32p5gerbkvi5hih7cfvcpmewvj/lib/gcc/x86_64-pc-linux-gnu/6.3.0 -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-4.8.5/gcc-6.3.0-sqhtfh32p5gerbkvi5hih7cfvcpmewvj/lib64 -L/cluster/spack/apps/linux-centos7-x86_64/gcc-4.8.5/gcc-6.3.0-sqhtfh32p5gerbkvi5hih7cfvcpmewvj/lib64 -Wl,-rpath,/cluster/spack/apps/linux-centos7-x86_64/gcc-4.8.5/gcc-6.3.0-sqhtfh32p5gerbkvi5hih7cfvcpmewvj/lib -L/cluster/spack/apps/linux-centos7-x86_64/gcc-4.8.5/gcc-6.3.0-sqhtfh32p5gerbkvi5hih7cfvcpmewvj/lib -lmuelu-adapters -lmuelu-interface -lmuelu -lstratimikos -lstratimikosbelos -lstratimikosaztecoo -lstratimikosamesos -lstratimikosml -lstratimikosifpack -lModeLaplace -lanasaziepetra -lanasazi -lmapvarlib -lsuplib_cpp -lsuplib_c -lsuplib -lsupes -laprepro_lib -lchaco -lio_info_lib -lIonit -lIotr -lIohb -lIogs -lIogn -lIovs -lIopg -lIoexo_fac -lIopx -lIofx -lIoex -lIoss -lnemesis -lexoIIv2for32 -lexodus_for -lexodus -lmapvarlib -lsuplib_cpp -lsuplib_c -lsuplib -lsupes -laprepro_lib -lchaco -lio_info_lib -lIonit -lIotr -lIohb -lIogs -lIogn -lIovs -lIopg -lIoexo_fac -lIopx -lIofx -lIoex -lIoss -lnemesis -lexoIIv2for32 -lexodus_for -lexodus -lbelosxpetra -lbelosepetra -lbelos -lml -lifpack -lpamgen_extras -lpamgen -lamesos -lgaleri-xpetra -lgaleri-epetra -laztecoo -lisorropia -lxpetra-sup -lxpetra -lthyraepetraext -lthyraepetra -lthyracore -lthyraepetraext -lthyraepetra -lthyracore -lepetraext -ltrilinosss -ltriutils -lzoltan -lepetra -lsacado -lrtop -lkokkoskernels -lteuchoskokkoscomm -lteuchoskokkoscompat -lteuchosremainder -lteuchosnumerics -lteuchoscomm -lteuchosparameterlist -lteuchosparser -lteuchoscore -lteuchoskokkoscomm -lteuchoskokkoscompat -lteuchosremainder -lteuchosnumerics -lteuchoscomm -lteuchosparameterlist -lteuchosparser -lteuchoscore -lkokkosalgorithms -lkokkoscontainers -lkokkoscore -lkokkosalgorithms -lkokkoscontainers -lkokkoscore -lgtest -lpthread -lcmumps -ldmumps -lsmumps -lzmumps -lmumps_common -lpord -lscalapack -lumfpack -lklu -lcholmod -lbtf -lccolamd -lcolamd -lcamd -lamd -lsuitesparseconfig -lsuperlu_dist -lHYPRE -lopenblas -lhdf5hl_fortran -lhdf5_fortran -lhdf5_hl -lhdf5 -lparmetis -lmetis -lm -lz -lstdc++ -ldl -lmpi_usempif08 -lmpi_usempi_ignore_tkr -lmpi_mpifh -lmpi -lgfortran -lm -lgfortran -lm -lgcc_s -lquadmath -lpthread -lstdc++ -ldl
>>>> -----------------------------------------
>>>> 
>>>> 
>>>> 
>>>> -- 
>>>> What most experimenters take for granted before they begin their experiments is infinitely more interesting than any results to which their experiments lead.
>>>> -- Norbert Wiener
>>>> 
>>>> https://www.cse.buffalo.edu/~knepley/
>>> 



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