diff --git a/internal/ceres/schur_complement_solver.cc b/internal/ceres/schur_complement_solver.cc
index 9b7d4e5..1753759 100644
--- a/internal/ceres/schur_complement_solver.cc
+++ b/internal/ceres/schur_complement_solver.cc
@@ -44,15 +44,15 @@
 #include "ceres/block_sparse_matrix.h"
 #include "ceres/block_structure.h"
 #include "ceres/detect_structure.h"
+#include "ceres/internal/eigen.h"
+#include "ceres/internal/port.h"
+#include "ceres/internal/scoped_ptr.h"
 #include "ceres/linear_solver.h"
 #include "ceres/schur_complement_solver.h"
 #include "ceres/suitesparse.h"
 #include "ceres/triplet_sparse_matrix.h"
-#include "ceres/internal/eigen.h"
-#include "ceres/internal/port.h"
-#include "ceres/internal/scoped_ptr.h"
 #include "ceres/types.h"
-
+#include "ceres/wall_time.h"
 
 namespace ceres {
 namespace internal {
@@ -62,7 +62,8 @@
     const double* b,
     const LinearSolver::PerSolveOptions& per_solve_options,
     double* x) {
-  const time_t start_time = time(NULL);
+  EventLogger event_logger("SchurComplementSolver::Solve");
+
   if (eliminator_.get() == NULL) {
     InitStorage(A->block_structure());
     DetectStructure(*A->block_structure(),
@@ -73,32 +74,27 @@
     eliminator_.reset(CHECK_NOTNULL(SchurEliminatorBase::Create(options_)));
     eliminator_->Init(options_.elimination_groups[0], A->block_structure());
   };
-  const time_t init_time = time(NULL);
   fill(x, x + A->num_cols(), 0.0);
+  event_logger.AddEvent("Setup");
 
   LinearSolver::Summary summary;
   summary.num_iterations = 1;
   summary.termination_type = FAILURE;
   eliminator_->Eliminate(A, b, per_solve_options.D, lhs_.get(), rhs_.get());
-  const time_t eliminate_time = time(NULL);
+  event_logger.AddEvent("Eliminate");
 
   double* reduced_solution = x + A->num_cols() - lhs_->num_cols();
   const bool status = SolveReducedLinearSystem(reduced_solution);
-  const time_t solve_time = time(NULL);
+  event_logger.AddEvent("ReducedSolve");
 
   if (!status) {
     return summary;
   }
 
   eliminator_->BackSubstitute(A, b, per_solve_options.D, reduced_solution, x);
-  const time_t backsubstitute_time = time(NULL);
   summary.termination_type = TOLERANCE;
 
-  VLOG(2) << "time (sec) total: " << (backsubstitute_time - start_time)
-          << " init: " << (init_time - start_time)
-          << " eliminate: " << (eliminate_time - init_time)
-          << " solve: " << (solve_time - eliminate_time)
-          << " backsubstitute: " << (backsubstitute_time - solve_time);
+  event_logger.AddEvent("BackSubstitute");
   return summary;
 }
 
@@ -267,8 +263,6 @@
 // CHOLMOD's sparse cholesky factorization routines.
 bool SparseSchurComplementSolver::SolveReducedLinearSystemUsingSuiteSparse(
     double* solution) {
-  const time_t start_time = time(NULL);
-
   TripletSparseMatrix* tsm =
       const_cast<TripletSparseMatrix*>(
           down_cast<const BlockRandomAccessSparseMatrix*>(lhs())->matrix());
@@ -285,11 +279,9 @@
   // The matrix is symmetric, and the upper triangular part of the
   // matrix contains the values.
   cholmod_lhs->stype = 1;
-  const time_t lhs_time = time(NULL);
 
   cholmod_dense*  cholmod_rhs =
       ss_.CreateDenseVector(const_cast<double*>(rhs()), num_rows, num_rows);
-  const time_t rhs_time = time(NULL);
 
   // Symbolic factorization is computed if we don't already have one handy.
   if (factor_ == NULL) {
@@ -306,12 +298,9 @@
 
   CHECK_NOTNULL(factor_);
 
-  const time_t symbolic_time = time(NULL);
   cholmod_dense* cholmod_solution =
       ss_.SolveCholesky(cholmod_lhs, factor_, cholmod_rhs);
 
-  const time_t solve_time = time(NULL);
-
   ss_.Free(cholmod_lhs);
   cholmod_lhs = NULL;
   ss_.Free(cholmod_rhs);
@@ -325,13 +314,6 @@
   VectorRef(solution, num_rows)
       = VectorRef(static_cast<double*>(cholmod_solution->x), num_rows);
   ss_.Free(cholmod_solution);
-  const time_t final_time = time(NULL);
-  VLOG(2) << "time: " << (final_time - start_time)
-          << " lhs : " << (lhs_time - start_time)
-          << " rhs:  " << (rhs_time - lhs_time)
-          << " analyze: " <<  (symbolic_time - rhs_time)
-          << " factor_and_solve: " << (solve_time - symbolic_time)
-          << " cleanup: " << (final_time - solve_time);
   return true;
 }
 #else