Residual norms for cs_ solve.
  0 KSP none resid norm 1.254940857906e+01 true resid norm 6.348257807283e-15 ||r(i)||/||b|| 5.058611142740e-16
  1 KSP none resid norm 6.348257807283e-15 true resid norm 6.348257807283e-15 ||r(i)||/||b|| 5.058611142740e-16
Linear cs_ solve converged due to CONVERGED_ITS iterations 1
KSP Object: (cs_) 108 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: (cs_) 108 MPI processes
  type: lu
    out-of-place factorization
    tolerance for zero pivot 2.22045e-14
    matrix ordering: external
    factor fill ratio given 0., needed 0.
      Factored matrix follows:
        Mat Object: 108 MPI processes
          type: superlu_dist
          rows=5351238, cols=5351238
          package used to perform factorization: superlu_dist
          total: nonzeros=0, allocated nonzeros=0
            SuperLU_DIST run parameters:
              Process grid nprow 9 x npcol 12 
              Equilibrate matrix TRUE 
              Replace tiny pivots FALSE 
              Use iterative refinement FALSE 
              Processors in row 9 col partition 12 
              Row permutation LargeDiag_MC64
              Column permutation METIS_AT_PLUS_A
              Parallel symbolic factorization FALSE 
              Repeated factorization SamePattern
  linear system matrix = precond matrix:
  Mat Object: (cs_) 108 MPI processes
    type: mpiaij
    rows=5351238, cols=5351238
    total: nonzeros=74533580, allocated nonzeros=149067160
    total number of mallocs used during MatSetValues calls=0
      not using I-node (on process 0) routines