0 SNES Function norm 1.027913970935e+00 0 KSP Residual norm 5.357771966904e+02 1 KSP Residual norm 1.233013205241e+00 2 KSP Residual norm 1.498010618298e-02 3 KSP Residual norm 2.192504071497e-04 4 KSP Residual norm 4.091115286469e-06 5 KSP Residual norm 8.701498545677e-08 1 SNES Function norm 1.617484395619e-05 0 KSP Residual norm 4.177276204593e+01 1 KSP Residual norm 7.669134110701e-04 2 KSP Residual norm 1.374460333857e-06 3 KSP Residual norm 1.892146986533e-08 2 SNES Function norm 1.241919248380e-07 0 KSP Residual norm 3.422424999210e-01 1 KSP Residual norm 4.397648422891e-06 2 KSP Residual norm 3.262920701206e-09 3 KSP Residual norm 4.672639344009e-11 3 SNES Function norm 8.441993331140e-12 SNES Object: 16 MPI processes type: newtonls maximum iterations=50, maximum function evaluations=10000 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 total number of linear solver iterations=11 total number of function evaluations=4 norm schedule ALWAYS SNESLineSearch Object: 16 MPI processes type: bt interpolation: cubic alpha=1.000000e-04 maxstep=1.000000e+08, minlambda=1.000000e-12 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 maximum iterations=40 KSP Object: 16 MPI processes type: gmres GMRES: restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement GMRES: happy breakdown tolerance 1e-30 maximum iterations=10000, initial guess is zero tolerances: relative=1e-09, absolute=1e-50, divergence=10000 left preconditioning using PRECONDITIONED norm type for convergence test PC Object: 16 MPI processes type: mg MG: type is MULTIPLICATIVE, levels=6 cycles=v Cycles per PCApply=1 Not using Galerkin computed coarse grid matrices Coarse grid solver -- level ------------------------------- KSP Object: (mg_coarse_) 16 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_) 16 MPI processes type: redundant Redundant preconditioner: First (color=0) of 16 PCs follows KSP Object: (mg_coarse_redundant_) 1 MPI processes type: preonly maximum iterations=10000, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_redundant_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot [INBLOCKS] matrix ordering: nd factor fill ratio given 5, needed 8.80825 Factored matrix follows: Mat Object: 1 MPI processes type: seqaij rows=25921, cols=25921 package used to perform factorization: petsc total: nonzeros=1.13592e+06, allocated nonzeros=1.13592e+06 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Mat Object: 1 MPI processes type: seqaij rows=25921, cols=25921 total: nonzeros=128961, allocated nonzeros=128961 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Mat Object: 16 MPI processes type: mpiaij rows=25921, cols=25921 total: nonzeros=128961, allocated nonzeros=128961 total number of mallocs used during MatSetValues calls =0 Down solver (pre-smoother) on level 1 ------------------------------- KSP Object: (mg_levels_1_) 16 MPI processes type: richardson Richardson: damping factor=1 maximum iterations=2 tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using nonzero initial guess using NONE norm type for convergence test PC Object: (mg_levels_1_) 16 MPI processes type: sor SOR: type = local_symmetric, iterations = 1, local iterations = 1, omega = 1 linear system matrix = precond matrix: Mat Object: 16 MPI processes type: mpiaij rows=103041, cols=103041 total: nonzeros=513921, allocated nonzeros=513921 total number of mallocs used during MatSetValues calls =0 Up solver (post-smoother) same as down solver (pre-smoother) Down solver (pre-smoother) on level 2 ------------------------------- KSP Object: (mg_levels_2_) 16 MPI processes type: richardson Richardson: damping factor=1 maximum iterations=2 tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using nonzero initial guess using NONE norm type for convergence test PC Object: (mg_levels_2_) 16 MPI processes type: sor SOR: type = local_symmetric, iterations = 1, local iterations = 1, omega = 1 linear system matrix = precond matrix: Mat Object: 16 MPI processes type: mpiaij rows=410881, cols=410881 total: nonzeros=2.05184e+06, allocated nonzeros=2.05184e+06 total number of mallocs used during MatSetValues calls =0 Up solver (post-smoother) same as down solver (pre-smoother) Down solver (pre-smoother) on level 3 ------------------------------- KSP Object: (mg_levels_3_) 16 MPI processes type: richardson Richardson: damping factor=1 maximum iterations=2 tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using nonzero initial guess using NONE norm type for convergence test PC Object: (mg_levels_3_) 16 MPI processes type: sor SOR: type = local_symmetric, iterations = 1, local iterations = 1, omega = 1 linear system matrix = precond matrix: Mat Object: 16 MPI processes type: mpiaij rows=1640961, cols=1640961 total: nonzeros=8.19968e+06, allocated nonzeros=8.19968e+06 total number of mallocs used during MatSetValues calls =0 Up solver (post-smoother) same as down solver (pre-smoother) Down solver (pre-smoother) on level 4 ------------------------------- KSP Object: (mg_levels_4_) 16 MPI processes type: richardson Richardson: damping factor=1 maximum iterations=2 tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using nonzero initial guess using NONE norm type for convergence test PC Object: (mg_levels_4_) 16 MPI processes type: sor SOR: type = local_symmetric, iterations = 1, local iterations = 1, omega = 1 linear system matrix = precond matrix: Mat Object: 16 MPI processes type: mpiaij rows=6558721, cols=6558721 total: nonzeros=3.27834e+07, allocated nonzeros=3.27834e+07 total number of mallocs used during MatSetValues calls =0 Up solver (post-smoother) same as down solver (pre-smoother) Down solver (pre-smoother) on level 5 ------------------------------- KSP Object: (mg_levels_5_) 16 MPI processes type: richardson Richardson: damping factor=1 maximum iterations=2 tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using nonzero initial guess using NONE norm type for convergence test PC Object: (mg_levels_5_) 16 MPI processes type: sor SOR: type = local_symmetric, iterations = 1, local iterations = 1, omega = 1 linear system matrix = precond matrix: Mat Object: 16 MPI processes type: mpiaij rows=26224641, cols=26224641 total: nonzeros=1.31103e+08, allocated nonzeros=1.31103e+08 total number of mallocs used during MatSetValues calls =0 Up solver (post-smoother) same as down solver (pre-smoother) linear system matrix = precond matrix: Mat Object: 16 MPI processes type: mpiaij rows=26224641, cols=26224641 total: nonzeros=1.31103e+08, allocated nonzeros=1.31103e+08 total number of mallocs used during MatSetValues calls =0 ************************************************************************************************************************ *** WIDEN YOUR WINDOW TO 120 CHARACTERS. Use 'enscript -r -fCourier9' to print this document *** ************************************************************************************************************************ ---------------------------------------------- PETSc Performance Summary: ---------------------------------------------- ./ex5 on a arch-linux2-c-opt named helios91 with 16 processors, by tnicolas Thu Oct 15 14:03:02 2015 Using Petsc Release Version 3.6.0, Jun, 09, 2015 Max Max/Min Avg Total Time (sec): 1.348e+01 1.00073 1.348e+01 Objects: 5.190e+02 1.00000 5.190e+02 Flops: 3.228e+09 1.00186 3.224e+09 5.158e+10 Flops/sec: 2.396e+08 1.00238 2.392e+08 3.828e+09 MPI Messages: 2.172e+03 1.92553 1.661e+03 2.657e+04 MPI Message Lengths: 1.794e+07 1.20851 9.890e+03 2.628e+08 MPI Reductions: 8.670e+02 1.00000 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 flops and VecAXPY() for complex vectors of length N --> 8N flops Summary of Stages: ----- Time ------ ----- Flops ----- --- Messages --- -- Message Lengths -- -- Reductions -- Avg %Total Avg %Total counts %Total Avg %Total counts %Total 0: Main Stage: 1.3476e+01 100.0% 5.1584e+10 100.0% 2.657e+04 100.0% 9.890e+03 100.0% 8.660e+02 99.9% ------------------------------------------------------------------------------------------------------------------------ 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 Flops: Max - maximum over all processors Ratio - ratio of maximum to minimum over all processors Mess: number of messages sent Avg. len: 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 flops 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 flops over all processors)/(max time over all processors) ------------------------------------------------------------------------------------------------------------------------ Event Count Time (sec) Flops --- Global --- --- Stage --- Total Max Ratio Max Ratio Max Ratio Mess Avg len Reduct %T %F %M %L %R %T %F %M %L %R Mflop/s ------------------------------------------------------------------------------------------------------------------------ --- Event Stage 0: Main Stage SNESSolve 1 1.0 1.2129e+01 1.0 3.23e+09 1.0 2.6e+04 1.0e+04 8.2e+02 90100 99100 94 90100 99100 94 4253 SNESFunctionEval 4 1.0 1.7845e-01 1.0 7.22e+07 1.0 1.9e+02 1.0e+04 0.0e+00 1 2 1 1 0 1 2 1 1 0 6466 SNESJacobianEval 18 1.0 1.6796e+00 1.0 0.00e+00 0.0 8.6e+02 3.4e+03 3.6e+01 12 0 3 1 4 12 0 3 1 4 0 SNESLineSearch 3 1.0 3.4451e-01 1.0 1.53e+08 1.0 2.9e+02 1.0e+04 1.2e+01 3 5 1 1 1 3 5 1 1 1 7079 VecDot 3 1.0 1.6860e-02 1.3 9.85e+06 1.0 0.0e+00 0.0e+00 3.0e+00 0 0 0 0 0 0 0 0 0 0 9333 VecMDot 11 1.0 1.6690e-01 2.2 8.86e+07 1.0 0.0e+00 0.0e+00 1.1e+01 1 3 0 0 1 1 3 0 0 1 8485 VecNorm 21 1.0 8.5533e-02 1.4 6.89e+07 1.0 0.0e+00 0.0e+00 2.1e+01 1 2 0 0 2 1 2 0 0 2 12877 VecScale 224 1.0 7.0347e-02 1.0 2.34e+07 1.0 0.0e+00 0.0e+00 0.0e+00 1 1 0 0 0 1 1 0 0 0 5290 VecCopy 9 1.0 7.1623e-02 1.0 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 VecSet 322 1.0 1.4303e-01 1.1 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 VecAXPY 3 1.0 2.4050e-02 1.1 9.85e+06 1.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 6542 VecAYPX 70 1.0 1.4091e-01 1.7 3.06e+07 1.0 0.0e+00 0.0e+00 0.0e+00 1 1 0 0 0 1 1 0 0 0 3471 VecWAXPY 3 1.0 3.3658e-02 1.1 4.92e+06 1.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 2337 VecMAXPY 14 1.0 1.9790e-01 1.0 1.25e+08 1.0 0.0e+00 0.0e+00 0.0e+00 1 4 0 0 0 1 4 0 0 0 10071 VecPointwiseMult 15 1.0 5.8594e-03 1.4 1.64e+06 1.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 4475 VecScatterBegin 509 1.0 1.1696e-01 1.1 0.00e+00 0.0 2.4e+04 4.9e+03 0.0e+00 1 0 90 44 0 1 0 90 44 0 0 VecScatterEnd 509 1.0 3.2786e-01 3.5 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 VecReduceArith 6 1.0 1.6051e-02 1.1 1.97e+07 1.0 0.0e+00 0.0e+00 0.0e+00 0 1 0 0 0 0 1 0 0 0 19606 VecReduceComm 3 1.0 1.6310e-0313.6 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 VecNormalize 14 1.0 1.2291e-01 1.1 6.89e+07 1.0 0.0e+00 0.0e+00 1.4e+01 1 2 0 0 2 1 2 0 0 2 8961 MatMult 84 1.0 1.0821e+00 1.1 4.82e+08 1.0 4.0e+03 5.0e+03 0.0e+00 7 15 15 8 0 7 15 15 8 0 7120 MatMultAdd 70 1.0 3.2738e-01 1.1 1.38e+08 1.0 2.3e+03 1.4e+03 0.0e+00 2 4 9 1 0 2 4 9 1 0 6722 MatMultTranspose 90 1.0 4.6496e-01 1.3 1.77e+08 1.0 3.0e+03 1.4e+03 0.0e+00 3 5 11 2 0 3 5 11 2 0 6085 MatSolve 14 1.0 4.7914e-02 1.0 3.14e+07 1.0 0.0e+00 0.0e+00 0.0e+00 0 1 0 0 0 0 1 0 0 0 10500 MatSOR 140 1.0 6.5270e+00 1.0 1.69e+09 1.0 1.0e+04 4.0e+03 2.8e+02 48 52 38 15 32 48 52 38 15 32 4136 MatLUFactorSym 1 1.0 2.5439e-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 MatLUFactorNum 3 1.0 1.8827e-01 1.0 2.56e+08 1.0 0.0e+00 0.0e+00 0.0e+00 1 8 0 0 0 1 8 0 0 0 21740 MatCopy 2 1.0 5.6100e-04 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 MatConvert 1 1.0 1.3399e-03 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 MatResidual 70 1.0 7.4356e-01 1.2 3.06e+08 1.0 3.4e+03 4.0e+03 0.0e+00 5 9 13 5 0 5 9 13 5 0 6577 MatAssemblyBegin 30 1.0 1.7079e-01 7.1 0.00e+00 0.0 0.0e+00 0.0e+00 5.8e+01 1 0 0 0 7 1 0 0 0 7 0 MatAssemblyEnd 30 1.0 3.8852e-01 1.0 0.00e+00 0.0 9.1e+02 6.7e+02 8.8e+01 3 0 3 0 10 3 0 3 0 10 0 MatGetRowIJ 1 1.0 8.3899e-04 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 MatGetSubMatrice 3 1.0 5.7330e-03 1.1 0.00e+00 0.0 0.0e+00 0.0e+00 8.0e+00 0 0 0 0 1 0 0 0 0 1 0 MatGetOrdering 1 1.0 9.5820e-03 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 9 1.3 1.1160e-03 1.8 0.00e+00 0.0 0.0e+00 0.0e+00 7.0e+00 0 0 0 0 1 0 0 0 0 1 0 MatRedundantMat 3 1.0 7.4792e-03 1.1 0.00e+00 0.0 0.0e+00 0.0e+00 8.0e+00 0 0 0 0 1 0 0 0 0 1 0 KSPGMRESOrthog 11 1.0 3.0485e-01 1.4 1.77e+08 1.0 0.0e+00 0.0e+00 1.1e+01 2 5 0 0 1 2 5 0 0 1 9291 KSPSetUp 24 1.0 6.1836e-02 1.0 0.00e+00 0.0 0.0e+00 0.0e+00 2.8e+01 0 0 0 0 3 0 0 0 0 3 0 KSPSolve 3 1.0 1.0456e+01 1.0 3.05e+09 1.0 2.6e+04 1.0e+04 7.9e+02 78 95 97 98 92 78 95 97 98 92 4667 PCSetUp 3 1.0 1.6251e+00 1.0 2.97e+08 1.0 3.9e+03 3.8e+04 4.6e+02 12 9 15 56 53 12 9 15 56 53 2922 PCApply 14 1.0 7.9164e+00 1.0 2.30e+09 1.0 2.1e+04 4.8e+03 2.8e+02 58 71 81 39 32 58 71 81 39 32 4648 ------------------------------------------------------------------------------------------------------------------------ Memory usage is given in bytes: Object Type Creations Destructions Memory Descendants' Mem. Reports information only for process 0. --- Event Stage 0: Main Stage SNES 1 1 1332 0 SNESLineSearch 1 1 864 0 DMSNES 7 7 5048 0 Vector 286 286 968198936 0 Vector Scatter 30 30 43853632 0 Matrix 41 41 400520368 0 Distributed Mesh 13 13 64096 0 Star Forest Bipartite Graph 26 26 22144 0 Discrete System 13 13 11024 0 Index Set 65 65 20238308 0 IS L to G Mapping 12 12 17560320 0 Krylov Solver 8 8 27072 0 DMKSP interface 6 6 3888 0 Preconditioner 8 8 7816 0 Viewer 2 1 760 0 ======================================================================================================================== Average time to get PetscTime(): 9.53674e-08 Average time for MPI_Barrier(): 1.81198e-06 Average time for zero size MPI_Send(): 5.81145e-06 #PETSc Option Table entries: -da_grid_x 21 -da_grid_y 21 -da_refine 8 -ksp_monitor -ksp_rtol 1e-9 -log_summary -mg_levels_ksp_type richardson -pc_mg_levels 6 -pc_type mg -snes_monitor -snes_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=/csc/softs/anl/petsc-3.6.0/intel-15.0.0.090/bullxmpi-1.2.8.2/real --with-debugging=0 --with-x=0 --with-cc=mpicc --with-fc=mpif90 --with-cxx=mpicxx --with-fortran --known-mpi-shared-libraries=1 --with-scalar-type=real --with-precision=double --CFLAGS="-g -O3 -mavx -mkl" --CXXFLAGS="-g -O3 -mavx -mkl" --FFLAGS="-g -O3 -mavx -mkl" ----------------------------------------- Libraries compiled on Mon Sep 28 20:22:47 2015 on helios85 Machine characteristics: Linux-2.6.32-573.1.1.el6.Bull.80.x86_64-x86_64-with-redhat-6.4-Santiago Using PETSc directory: /csc/releases/buildlog/anl/petsc-3.6.0/intel-15.0.0.090/bullxmpi-1.2.8.2/real/petsc-3.6.0 Using PETSc arch: arch-linux2-c-opt ----------------------------------------- Using C compiler: mpicc -g -O3 -mavx -mkl -fPIC ${COPTFLAGS} ${CFLAGS} Using Fortran compiler: mpif90 -g -O3 -mavx -mkl -fPIC ${FOPTFLAGS} ${FFLAGS} ----------------------------------------- Using include paths: -I/csc/releases/buildlog/anl/petsc-3.6.0/intel-15.0.0.090/bullxmpi-1.2.8.2/real/petsc-3.6.0/arch-linux2-c-opt/include -I/csc/releases/buildlog/anl/petsc-3.6.0/intel-15.0.0.090/bullxmpi-1.2.8.2/real/petsc-3.6.0/include -I/csc/releases/buildlog/anl/petsc-3.6.0/intel-15.0.0.090/bullxmpi-1.2.8.2/real/petsc-3.6.0/include -I/csc/releases/buildlog/anl/petsc-3.6.0/intel-15.0.0.090/bullxmpi-1.2.8.2/real/petsc-3.6.0/arch-linux2-c-opt/include -I/opt/mpi/bullxmpi/1.2.8.2/include ----------------------------------------- Using C linker: mpicc Using Fortran linker: mpif90 Using libraries: -Wl,-rpath,/csc/releases/buildlog/anl/petsc-3.6.0/intel-15.0.0.090/bullxmpi-1.2.8.2/real/petsc-3.6.0/arch-linux2-c-opt/lib -L/csc/releases/buildlog/anl/petsc-3.6.0/intel-15.0.0.090/bullxmpi-1.2.8.2/real/petsc-3.6.0/arch-linux2-c-opt/lib -lpetsc -lhwloc -lxml2 -lssl -lcrypto -Wl,-rpath,/opt/mpi/bullxmpi/1.2.8.2/lib -L/opt/mpi/bullxmpi/1.2.8.2/lib -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/mkl/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/mkl/lib/intel64 -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -Wl,-rpath,/usr/lib/gcc/x86_64-redhat-linux/4.4.7 -L/usr/lib/gcc/x86_64-redhat-linux/4.4.7 -lmpi_f90 -lmpi_f77 -lm -lifport -lifcore -lm -lmpi_cxx -ldl -Wl,-rpath,/opt/mpi/bullxmpi/1.2.8.2/lib -L/opt/mpi/bullxmpi/1.2.8.2/lib -lmpi -lnuma -lrt -lnsl -lutil -Wl,-rpath,/opt/mpi/bullxmpi/1.2.8.2/lib -L/opt/mpi/bullxmpi/1.2.8.2/lib -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/mkl/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/mkl/lib/intel64 -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -Wl,-rpath,/usr/lib/gcc/x86_64-redhat-linux/4.4.7 -L/usr/lib/gcc/x86_64-redhat-linux/4.4.7 -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/mkl/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/mkl/lib/intel64 -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -lmkl_intel_lp64 -lmkl_intel_thread -lmkl_core -liomp5 -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -limf -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/mkl/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/mkl/lib/intel64 -lsvml -lirng -lipgo -ldecimal -lcilkrts -lstdc++ -lgcc_s -lirc -lpthread -lirc_s -Wl,-rpath,/opt/mpi/bullxmpi/1.2.8.2/lib -L/opt/mpi/bullxmpi/1.2.8.2/lib -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/mkl/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/mkl/lib/intel64 -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -Wl,-rpath,/usr/lib/gcc/x86_64-redhat-linux/4.4.7 -L/usr/lib/gcc/x86_64-redhat-linux/4.4.7 -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/mkl/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/mkl/lib/intel64 -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/compiler/lib/intel64 -Wl,-rpath,/opt/intel/composer_xe_2015.0.090/mkl/lib/intel64 -L/opt/intel/composer_xe_2015.0.090/mkl/lib/intel64 -ldl -----------------------------------------