<div><div dir="auto">Using no preconditioner is a bad bad idea and anyone with the gall to do this deserves to be spanked.</div><div dir="auto"><br></div><div dir="auto">For the Poisson equation, why not use PETSc's native algebraic multigrid solver?</div><div dir="auto"><br></div><div dir="auto">-pc_type gamg </div><br><div class="gmail_quote"><div>On Thu, Jun 15, 2017 at 3:09 PM Pietro Incardona <<a href="mailto:asmprog32@hotmail.com">asmprog32@hotmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div>
<div id="m_-2543527594712036445divtagdefaultwrapper" style="font-size:12pt;color:#000000;font-family:Calibri,Arial,Helvetica,sans-serif">
<p>Dear All</p>
<p><br>
</p>
<p>I tried PETSC version 3.6.5 to solve a linear system with 256 000 000 unknown. The equation is Finite differences Poisson equation.</p>
<p><br>
</p>
<p>I am using Conjugate gradient (the matrix is symmetric) with no preconditioner. Visualizing the solution is reasonable.</p>
<p>Unfortunately the Conjugate-Gradient does not scale at all and I am extremely concerned about this problem in paticular about the profiling numbers.
<br>
</p>
<p>Looking at the profiler it seem that</p>
<p><br>
</p>
<p>1536 cores = 24 cores x 64<br>
</p>
<p><br>
</p>
<p></p>
<div>VecScatterBegin 348 1.0 2.3975e-01 1.8 0.00e+00 0.0 7.7e+06 3.1e+04 0.0e+00 0 0 85 99 0 0 0 85 99 0 0<br>
VecScatterEnd 348 1.0 2.8680e+00 1.8 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 1 0 0 0 0 1 0 0 0 0 0<br>
MatMult 348 1.0 4.1088e+00 1.4 8.18e+08 1.3 7.7e+06 3.1e+04 0.0e+00 2 52 85 99 0 2 52 85 99 0 281866</div>
<p></p>
<p><br>
</p>
<p>I was expecting that this part was the most expensive and take around 4 second in total that sound reasonable<br>
</p>
<p><br>
</p>
<p>Unfortunately<br>
</p>
<p><br>
</p>
<p>on 1536 cores = 24 cores x 64<br>
</p>
<p><br>
</p>
<p></p>
<div>VecTDot 696 1.0 3.4442e+01 1.4 2.52e+08 1.3 0.0e+00 0.0e+00 7.0e+02 12 16 0 0 65 12 16 0 0 65 10346<br>
VecNorm 349 1.0 1.1101e+02 1.1 1.26e+08 1.3 0.0e+00 0.0e+00 3.5e+02 46 8 0 0 33 46 8 0 0 33 1610<br>
<span><span>VecAXPY 696 1.0 8.3134e+01 1.1 2.52e+08 1.3 0.0e+00 0.0e+00 0.0e+00 34 16 0 0 0 34 16 0 0 0 4286</span></span><br>
</div>
<p></p>
<p><br>
</p>
<p>Take over 228 seconds. Considering that doing some test on the cluster I do not see any problem with MPI_Reduce I do not understand how these numbers are possible<br>
</p>
<p><br>
</p>
<p><br>
</p>
<p>////////////////////////// I also attach to the profiling part the inversion on 48 cores /////////////////////////</p>
<p><br>
</p>
<p></p>
<div>VecTDot 696 1.0 1.4684e+01 1.3 3.92e+09 1.1 0.0e+00 0.0e+00 7.0e+02 6 16 0 0 65 6 16 0 0 65 24269<br>
VecNorm 349 1.0 4.9612e+01 1.3 1.96e+09 1.1 0.0e+00 0.0e+00 3.5e+02 22 8 0 0 33 22 8 0 0 33 3602<br>
VecCopy 351 1.0 8.8359e+00 7.7 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<br>
VecSet 2 1.0 1.6177e-02 2.6 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<br>
VecAXPY 696 1.0 8.8559e+01 1.1 3.92e+09 1.1 0.0e+00 0.0e+00 0.0e+00 42 16 0 0 0 42 16 0 0 0 4024<br>
VecAYPX 347 1.0 4.6790e+00 1.2 1.95e+09 1.1 0.0e+00 0.0e+00 0.0e+00 2 8 0 0 0 2 8 0 0 0 37970<br>
VecAssemblyBegin 2 1.0 5.0942e-02 2.9 0.00e+00 0.0 0.0e+00 0.0e+00 6.0e+00 0 0 0 0 1 0 0 0 0 1 0<br>
VecAssemblyEnd 2 1.0 1.9073e-05 6.7 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<br>
VecScatterBegin 348 1.0 1.2763e+00 1.5 0.00e+00 0.0 4.6e+05 2.0e+05 0.0e+00 0 0 97100 0 0 0 97100 0 0<br>
VecScatterEnd 348 1.0 4.6741e+00 5.6 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 1 0 0 0 0 1 0 0 0 0 0<br>
MatMult 348 1.0 2.8440e+01 1.1 1.27e+10 1.1 4.6e+05 2.0e+05 0.0e+00 13 52 97100 0 13 52 97100 0 40722<br>
MatAssemblyBegin 1 1.0 7.4749e-0124.5 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<br>
MatAssemblyEnd 1 1.0 8.3194e-01 1.0 0.00e+00 0.0 2.7e+03 5.1e+04 8.0e+00 0 0 1 0 1 0 0 1 0 1 0<br>
KSPSetUp 1 1.0 8.2883e-02 1.7 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<br>
KSPSolve 1 1.0 1.7964e+02 1.0 2.45e+10 1.1 4.6e+05 2.0e+05 1.0e+03 87100 97100 98 87100 97100 98 12398<br>
PCSetUp 1 1.0 1.1921e-06 0.0 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<br>
PCApply 349 1.0 8.8166e+00 7.8 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</div>
<p><br>
</p>
<p><br>
</p>
<p>/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////<br>
</p>
<p><br>
</p>
<p>If you need more information or test please let me know.</p>
<p><br>
</p>
<p>Thanks in advance<br>
</p>
<p><br>
</p>
<p>Here the log of 1536 cores<br>
</p>
<p><br>
</p>
<p></p>
<div>345 KSP Residual norm 1.007085286893e-02 <br>
346 KSP Residual norm 1.010054402040e-02 <br>
347 KSP Residual norm 1.002139574355e-02 <br>
348 KSP Residual norm 9.775851299055e-03 <br>
Max div for vorticity 1.84572e-05 Integral: 6.62466e-09 130.764 -132<br>
************************************************************************************************************************<br>
*** WIDEN YOUR WINDOW TO 120 CHARACTERS. Use 'enscript -r -fCourier9' to print this document ***<br>
************************************************************************************************************************<br>
<br>
---------------------------------------------- PETSc Performance Summary: ----------------------------------------------<br>
<br>
./vic_petsc on a arch-linux2-c-opt named taurusi6217 with 1536 processors, by incard Thu Jun 15 22:27:09 2017<br>
Using Petsc Release Version 3.6.4, Apr, 12, 2016 <br>
<br>
Max Max/Min Avg Total <br>
Time (sec): 2.312e+02 1.00027 2.312e+02<br>
Objects: 1.900e+01 1.00000 1.900e+01<br>
Flops: 1.573e+09 1.32212 1.450e+09 2.227e+12<br>
Flops/sec: 6.804e+06 1.32242 6.271e+06 9.633e+09<br>
MPI Messages: 8.202e+03 2.06821 5.871e+03 9.018e+06<br>
MPI Message Lengths: 2.013e+08 1.86665 2.640e+04 2.381e+11<br>
MPI Reductions: 1.066e+03 1.00000<br>
<br>
Flop counting convention: 1 flop = 1 real number operation of type (multiply/divide/add/subtract)<br>
e.g., VecAXPY() for real vectors of length N --> 2N flops<br>
and VecAXPY() for complex vectors of length N --> 8N flops<br>
<br>
Summary of Stages: ----- Time ------ ----- Flops ----- --- Messages --- -- Message Lengths -- -- Reductions --<br>
Avg %Total Avg %Total counts %Total Avg %Total counts %Total
<br>
0: Main Stage: 2.3120e+02 100.0% 2.2272e+12 100.0% 9.018e+06 100.0% 2.640e+04 100.0% 1.065e+03 99.9%
<br>
<br>
------------------------------------------------------------------------------------------------------------------------<br>
See the 'Profiling' chapter of the users' manual for details on interpreting output.<br>
Phase summary info:<br>
Count: number of times phase was executed<br>
Time and Flops: Max - maximum over all processors<br>
Ratio - ratio of maximum to minimum over all processors<br>
Mess: number of messages sent<br>
Avg. len: average message length (bytes)<br>
Reduct: number of global reductions<br>
Global: entire computation<br>
Stage: stages of a computation. Set stages with PetscLogStagePush() and PetscLogStagePop().<br>
%T - percent time in this phase %F - percent flops in this phase<br>
%M - percent messages in this phase %L - percent message lengths in this phase<br>
%R - percent reductions in this phase<br>
Total Mflop/s: 10e-6 * (sum of flops over all processors)/(max time over all processors)<br>
------------------------------------------------------------------------------------------------------------------------<br>
Event Count Time (sec) Flops --- Global --- --- Stage --- Total<br>
Max Ratio Max Ratio Max Ratio Mess Avg len Reduct %T %F %M %L %R %T %F %M %L %R Mflop/s<br>
------------------------------------------------------------------------------------------------------------------------<br>
<br>
--- Event Stage 0: Main Stage<br>
<br>
VecTDot 696 1.0 3.4442e+01 1.4 2.52e+08 1.3 0.0e+00 0.0e+00 7.0e+02 12 16 0 0 65 12 16 0 0 65 10346<br>
VecNorm 349 1.0 1.1101e+02 1.1 1.26e+08 1.3 0.0e+00 0.0e+00 3.5e+02 46 8 0 0 33 46 8 0 0 33 1610<br>
VecCopy 351 1.0 2.7609e-01 5.8 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<br>
VecSet 2 1.0 3.8961e-0256.9 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<br>
VecAXPY 696 1.0 8.3134e+01 1.1 2.52e+08 1.3 0.0e+00 0.0e+00 0.0e+00 34 16 0 0 0 34 16 0 0 0 4286<br>
VecAYPX 347 1.0 2.0852e-01 2.0 1.25e+08 1.3 0.0e+00 0.0e+00 0.0e+00 0 8 0 0 0 0 8 0 0 0 852044<br>
VecAssemblyBegin 2 1.0 8.3237e-02 1.8 0.00e+00 0.0 0.0e+00 0.0e+00 6.0e+00 0 0 0 0 1 0 0 0 0 1 0<br>
VecAssemblyEnd 2 1.0 5.1022e-0517.8 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<br>
VecScatterBegin 348 1.0 2.3975e-01 1.8 0.00e+00 0.0 7.7e+06 3.1e+04 0.0e+00 0 0 85 99 0 0 0 85 99 0 0<br>
VecScatterEnd 348 1.0 2.8680e+00 1.8 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 1 0 0 0 0 1 0 0 0 0 0<br>
MatMult 348 1.0 4.1088e+00 1.4 8.18e+08 1.3 7.7e+06 3.1e+04 0.0e+00 2 52 85 99 0 2 52 85 99 0 281866<br>
MatAssemblyBegin 1 1.0 9.1920e-02 3.4 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<br>
MatAssemblyEnd 1 1.0 3.9093e+00 1.0 0.00e+00 0.0 4.4e+04 7.7e+03 8.0e+00 2 0 0 0 1 2 0 0 0 1 0<br>
KSPSetUp 1 1.0 8.1890e-03 4.3 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<br>
KSPSolve 1 1.0 2.1525e+02 1.0 1.57e+09 1.3 7.7e+06 3.1e+04 1.0e+03 93100 85 99 98 93100 85 99 98 10347<br>
PCSetUp 1 1.0 5.5075e-05 0.0 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<br>
PCApply 349 1.0 2.7485e-01 6.0 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<br>
------------------------------------------------------------------------------------------------------------------------<br>
<br>
Memory usage is given in bytes:<br>
<br>
Object Type Creations Destructions Memory Descendants' Mem.<br>
Reports information only for process 0.<br>
<br>
--- Event Stage 0: Main Stage<br>
<br>
Vector 10 7 7599552 0<br>
Vector Scatter 1 1 1088 0<br>
Matrix 3 3 20858912 0<br>
Krylov Solver 1 1 1216 0<br>
Index Set 2 2 242288 0<br>
Preconditioner 1 1 816 0<br>
Viewer 1 0 0 0<br>
========================================================================================================================<br>
Average time to get PetscTime(): 9.53674e-08<br>
Average time for MPI_Barrier(): 3.68118e-05<br>
Average time for zero size MPI_Send(): 3.24349e-06<br>
#PETSc Option Table entries:<br>
-ksp_atol 0.010000<br>
-ksp_max_it 500<br>
-ksp_monitor<br>
-ksp_type cg<br>
-log_summary<br>
#End of PETSc Option Table entries<br>
Compiled without FORTRAN kernels<br>
Compiled with full precision matrices (default)<br>
sizeof(short) 2 sizeof(int) 4 sizeof(long) 8 sizeof(void*) 8 sizeof(PetscScalar) 8 sizeof(PetscInt) 4<br>
Configure options: --with-cxx-dialect=C++11 --with-mpi-dir=/sw/taurus/libraries/openmpi/1.10.2-gnu --with-parmetis=yes --with-parmetis-dir=/scratch/p_ppm//PARMETIS/ --with-metis=yes --with-metis-dir=/scratch/p_ppm//METIS --with-boost=yes --with-boost-dir=/scratch/p_ppm//BOOST
--with-blas-lib=/scratch/p_ppm//OPENBLAS/lib/libopenblas.a --with-lapack-lib=/scratch/p_ppm//OPENBLAS/lib/libopenblas.a --with-suitesparse=yes --with-suitesparse-dir=/scratch/p_ppm//SUITESPARSE --with-trilinos=yes -with-trilinos-dir=/scratch/p_ppm//TRILINOS
--with-scalapack=yes -with-scalapack-dir=/scratch/p_ppm//SCALAPACK --with-mumps=yes --with-mumps-include=/scratch/p_ppm//MUMPS/include --with-superlu_dist=yes --with-superlu_dist-lib=/scratch/p_ppm//SUPERLU_DIST/lib/libsuperlu_dist_4.3.a --with-superlu_dist-include=/scratch/p_ppm//SUPERLU_DIST/include/
--with-hypre=yes -with-hypre-dir=/scratch/p_ppm//HYPRE --with-mumps-lib=""/scratch/p_ppm//MUMPS/lib/libdmumps.a /scratch/p_ppm//MUMPS/lib/libmumps_common.a /scratch/p_ppm//MUMPS/lib/libpord.a"" --prefix=/scratch/p_ppm//PETSC --with-debugging=0<br>
-----------------------------------------<br>
Libraries compiled on Wed Feb 22 17:30:49 2017 on tauruslogin4 <br>
Machine characteristics: Linux-2.6.32-642.11.1.el6.Bull.106.x86_64-x86_64-with-redhat-6.8-Santiago<br>
Using PETSc directory: /lustre/scratch2/p_ppm/jenkins2/workspace/OpenFPM_high_scal_tests/petsc-3.6.4<br>
Using PETSc arch: arch-linux2-c-opt<br>
-----------------------------------------<br>
<br>
Using C compiler: /sw/taurus/libraries/openmpi/1.10.2-gnu/bin/mpicc -fPIC -Wall -Wwrite-strings -Wno-strict-aliasing -Wno-unknown-pragmas -O ${COPTFLAGS} ${CFLAGS}<br>
Using Fortran compiler: /sw/taurus/libraries/openmpi/1.10.2-gnu/bin/mpif90 -fPIC -Wall -Wno-unused-variable -ffree-line-length-0 -Wno-unused-dummy-argument -O ${FOPTFLAGS} ${FFLAGS}
<br>
-----------------------------------------<br>
<br>
Using include paths: -I/lustre/scratch2/p_ppm/jenkins2/workspace/OpenFPM_high_scal_tests/petsc-3.6.4/arch-linux2-c-opt/include -I/lustre/scratch2/p_ppm/jenkins2/workspace/OpenFPM_high_scal_tests/petsc-3.6.4/include -I/lustre/scratch2/p_ppm/jenkins2/workspace/OpenFPM_high_scal_tests/petsc-3.6.4/include
-I/lustre/scratch2/p_ppm/jenkins2/workspace/OpenFPM_high_scal_tests/petsc-3.6.4/arch-linux2-c-opt/include -I/scratch/p_ppm/TRILINOS/include -I/scratch/p_ppm/HYPRE/include -I/scratch/p_ppm/SUPERLU_DIST/include -I/scratch/p_ppm/SUITESPARSE/include -I/scratch/p_ppm/MUMPS/include
-I/scratch/p_ppm/PARMETIS/include -I/scratch/p_ppm/METIS/include -I/scratch/p_ppm/BOOST/include -I/sw/taurus/libraries/openmpi/1.10.2-gnu/include<br>
-----------------------------------------<br>
<br>
Using C linker: /sw/taurus/libraries/openmpi/1.10.2-gnu/bin/mpicc<br>
Using Fortran linker: /sw/taurus/libraries/openmpi/1.10.2-gnu/bin/mpif90<br>
Using libraries: -Wl,-rpath,/lustre/scratch2/p_ppm/jenkins2/workspace/OpenFPM_high_scal_tests/petsc-3.6.4/arch-linux2-c-opt/lib -L/lustre/scratch2/p_ppm/jenkins2/workspace/OpenFPM_high_scal_tests/petsc-3.6.4/arch-linux2-c-opt/lib -lpetsc -Wl,-rpath,/scratch/p_ppm/TRILINOS/lib
-L/scratch/p_ppm/TRILINOS/lib -lpike-blackbox -ltrilinoscouplings -lmsqutil -lmesquite -lctrilinos -lsundancePdeopt -lsundanceStdFwk -lsundanceStdMesh -lsundanceCore -lsundanceInterop -lsundanceUtils -lsundancePlaya -lpiro -lrol -lstokhos_muelu -lstokhos_ifpack2
-lstokhos_amesos2 -lstokhos_tpetra -lstokhos_sacado -lstokhos -lmoochothyra -lmoocho -lrythmos -lmuelu-adapters -lmuelu-interface -lmuelu -lmoertel -llocathyra -llocaepetra -llocalapack -lloca -lnoxepetra -lnoxlapack -lnox -lphalanx -lstk_mesh_fixtures -lstk_search_util_base
-lstk_search -lstk_unit_test_utils -lstk_io_util -lstk_io -lstk_mesh_base -lstk_topology -lstk_util_use_cases -lstk_util_registry -lstk_util_diag -lstk_util_env -lstk_util_util -lstkclassic_search_util -lstkclassic_search -lstkclassic_rebalance_utils -lstkclassic_rebalance
-lstkclassic_linsys -lstkclassic_io_util -lstkclassic_io -lstkclassic_expreval -lstkclassic_algsup -lstkclassic_mesh_fem -lstkclassic_mesh_base -lstkclassic_util_use_cases -lstkclassic_util_unit_test_support -lstkclassic_util_parallel -lstkclassic_util_diag
-lstkclassic_util_env -lstkclassic_util_util -lstk_mesh_fixtures -lstk_search_util_base -lstk_search -lstk_unit_test_utils -lstk_io_util -lstk_io -lstk_mesh_base -lstk_topology -lstk_util_use_cases -lstk_util_registry -lstk_util_diag -lstk_util_env -lstk_util_util
-lstkclassic_search_util -lstkclassic_search -lstkclassic_rebalance_utils -lstkclassic_rebalance -lstkclassic_linsys -lstkclassic_io_util -lstkclassic_io -lstkclassic_expreval -lstkclassic_algsup -lstkclassic_mesh_fem -lstkclassic_mesh_base -lstkclassic_util_use_cases
-lstkclassic_util_unit_test_support -lstkclassic_util_parallel -lstkclassic_util_diag -lstkclassic_util_env -lstkclassic_util_util -lintrepid -lteko -lfei_trilinos -lfei_base -lstratimikos -lstratimikosbelos -lstratimikosaztecoo -lstratimikosamesos -lstratimikosml
-lstratimikosifpack -lifpack2-adapters -lifpack2 -lanasazitpetra -lModeLaplace -lanasaziepetra -lanasazi -lkomplex -lsupes -laprepro_lib -lchaco -lIonit -lIotr -lIohb -lIogn -lIopg -lIoss -lsupes -laprepro_lib -lchaco -lIonit -lIotr -lIohb -lIogn -lIopg -lIoss
-lamesos2 -lshylu -lbelostpetra -lbelosepetra -lbelos -lml -lifpack -lzoltan2 -lpamgen_extras -lpamgen -lamesos -lgaleri-xpetra -lgaleri-epetra -laztecoo -ldpliris -lisorropia -loptipack -lxpetra-sup -lxpetra -lthyratpetra -lthyraepetraext -lthyraepetra -lthyracore
-lthyratpetra -lthyraepetraext -lthyraepetra -lthyracore -lepetraext -ltpetraext -ltpetrainout -ltpetra -lkokkostsqr -ltpetrakernels -ltpetraclassiclinalg -ltpetraclassicnodeapi -ltpetraclassic -ltpetraext -ltpetrainout -ltpetra -lkokkostsqr -ltpetrakernels
-ltpetraclassiclinalg -ltpetraclassicnodeapi -ltpetraclassic -ltriutils -lglobipack -lshards -lzoltan -lepetra -lsacado -lrtop -lteuchoskokkoscomm -lteuchoskokkoscompat -lteuchosremainder -lteuchosnumerics -lteuchoscomm -lteuchosparameterlist -lteuchoscore
-lteuchoskokkoscomm -lteuchoskokkoscompat -lteuchosremainder -lteuchosnumerics -lteuchoscomm -lteuchosparameterlist -lteuchoscore -lkokkosalgorithms -lkokkoscontainers -lkokkoscore -lkokkosalgorithms -lkokkoscontainers -lkokkoscore -ltpi -lgtest -lpthread
-Wl,-rpath,/scratch/p_ppm/HYPRE/lib -L/scratch/p_ppm/HYPRE/lib -lHYPRE -Wl,-rpath,/sw/taurus/libraries/openmpi/1.10.2-gnu/lib -L/sw/taurus/libraries/openmpi/1.10.2-gnu/lib -Wl,-rpath,/sw/global/compilers/gcc/5.3.0/lib64 -L/sw/global/compilers/gcc/5.3.0/lib64
-Wl,-rpath,/sw/global/compilers/gcc/5.3.0/lib/gcc/x86_64-unknown-linux-gnu/5.3.0 -L/sw/global/compilers/gcc/5.3.0/lib/gcc/x86_64-unknown-linux-gnu/5.3.0 -Wl,-rpath,/sw/global/compilers/gcc/5.3.0/libexec/gcc/x86_64-unknown-linux-gnu/5.3.0 -L/sw/global/compilers/gcc/5.3.0/libexec/gcc/x86_64-unknown-linux-gnu/5.3.0
-Wl,-rpath,/sw/global/compilers/gcc/5.3.0/x86_64-unknown-linux-gnu/lib -L/sw/global/compilers/gcc/5.3.0/x86_64-unknown-linux-gnu/lib -Wl,-rpath,/sw/global/compilers/gcc/5.3.0/lib -L/sw/global/compilers/gcc/5.3.0/lib -lmpi_cxx -lstdc++ -Wl,-rpath,/scratch/p_ppm//SUPERLU_DIST/lib
-L/scratch/p_ppm//SUPERLU_DIST/lib -lsuperlu_dist_4.3 -Wl,-rpath,/scratch/p_ppm/SUITESPARSE/lib -L/scratch/p_ppm/SUITESPARSE/lib -lumfpack -lklu -lcholmod -lbtf -lccolamd -lcolamd -lcamd -lamd -lsuitesparseconfig -lrt -ldmumps -Wl,-rpath,/scratch/p_ppm//MUMPS/lib
-L/scratch/p_ppm//MUMPS/lib -lmumps_common -lpord -Wl,-rpath,/scratch/p_ppm/SCALAPACK/lib -L/scratch/p_ppm/SCALAPACK/lib -lscalapack -Wl,-rpath,/scratch/p_ppm//OPENBLAS/lib -L/scratch/p_ppm//OPENBLAS/lib -lopenblas -Wl,-rpath,/scratch/p_ppm/PARMETIS/lib -L/scratch/p_ppm/PARMETIS/lib
-lparmetis -Wl,-rpath,/scratch/p_ppm/METIS/lib -L/scratch/p_ppm/METIS/lib -lmetis -lX11 -lhwloc -lssl -lcrypto -lm -lmpi_usempi -lmpi_mpifh -lgfortran -lm -lgfortran -lm -lquadmath -lm -lmpi_cxx -lstdc++ -Wl,-rpath,/sw/taurus/libraries/openmpi/1.10.2-gnu/lib
-L/sw/taurus/libraries/openmpi/1.10.2-gnu/lib -Wl,-rpath,/sw/global/compilers/gcc/5.3.0/lib64 -L/sw/global/compilers/gcc/5.3.0/lib64 -Wl,-rpath,/sw/global/compilers/gcc/5.3.0/lib/gcc/x86_64-unknown-linux-gnu/5.3.0 -L/sw/global/compilers/gcc/5.3.0/lib/gcc/x86_64-unknown-linux-gnu/5.3.0
-Wl,-rpath,/sw/global/compilers/gcc/5.3.0/lib64 -L/sw/global/compilers/gcc/5.3.0/lib64 -Wl,-rpath,/sw/global/compilers/gcc/5.3.0/lib64 -L/sw/global/compilers/gcc/5.3.0/lib64 -Wl,-rpath,/sw/global/compilers/gcc/5.3.0/libexec/gcc/x86_64-unknown-linux-gnu/5.3.0
-L/sw/global/compilers/gcc/5.3.0/libexec/gcc/x86_64-unknown-linux-gnu/5.3.0 -Wl,-rpath,/sw/global/compilers/gcc/5.3.0/lib/gcc/x86_64-unknown-linux-gnu/5.3.0 -L/sw/global/compilers/gcc/5.3.0/lib/gcc/x86_64-unknown-linux-gnu/5.3.0 -Wl,-rpath,/sw/global/compilers/gcc/5.3.0/x86_64-unknown-linux-gnu/lib
-L/sw/global/compilers/gcc/5.3.0/x86_64-unknown-linux-gnu/lib -Wl,-rpath,/sw/global/compilers/gcc/5.3.0/lib -L/sw/global/compilers/gcc/5.3.0/lib -ldl -Wl,-rpath,/sw/taurus/libraries/openmpi/1.10.2-gnu/lib -lmpi -lgcc_s -lpthread -ldl
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Regards</div></div></div><div><div id="m_-2543527594712036445divtagdefaultwrapper" style="font-size:12pt;color:#000000;font-family:Calibri,Arial,Helvetica,sans-serif"><div><br>
Pietro Incardona<br>
</div></div></div></blockquote></div></div>