diff --git a/cpp/src/dual_simplex/barrier.cu b/cpp/src/dual_simplex/barrier.cu
index 7a9c2ee24..2e9d64f07 100644
--- a/cpp/src/dual_simplex/barrier.cu
+++ b/cpp/src/dual_simplex/barrier.cu
@@ -1487,7 +1487,6 @@ int barrier_solver_t<i_t, f_t>::initial_point(iteration_data_t<i_t, f_t>& data)
   // Perform a numerical factorization
   i_t status;
   if (use_augmented) {
-    settings.log.printf("Factorizing augmented\n");
     status = data.chol->factorize(data.augmented);
   } else {
     if (use_gpu) {
@@ -3329,9 +3328,9 @@ lp_status_t barrier_solver_t<i_t, f_t>::solve(f_t start_time,
   i_t iter = 0;
   settings.log.printf("\n");
   settings.log.printf(
-    "        Objective                            Infeasibility              Time\n");
+    "                  Objective                         Infeasibility        Time\n");
   settings.log.printf(
-    "Iter    Primal               Dual            Primal   Dual    Compl.    Elapsed\n");
+    "Iter   Primal              Dual                Primal   Dual    Compl.   Elapsed\n");
   float64_t elapsed_time = toc(start_time);
   settings.log.printf("%3d   %+.12e %+.12e %.2e %.2e %.2e %.1f\n",
                       iter,
diff --git a/cpp/src/dual_simplex/sparse_cholesky.cuh b/cpp/src/dual_simplex/sparse_cholesky.cuh
index 51145a36b..4ea1609e3 100644
--- a/cpp/src/dual_simplex/sparse_cholesky.cuh
+++ b/cpp/src/dual_simplex/sparse_cholesky.cuh
@@ -534,7 +534,7 @@ class sparse_cholesky_cudss_t : public sparse_cholesky_base_t<i_t, f_t> {
     }
 
     if (first_factor) {
-      settings_.log.printf("Factorization time          : %.2fs\n", numeric_time);
+      settings_.log.debug("Factorization time          : %.2fs\n", numeric_time);
       first_factor = false;
     }
     if (status != CUDSS_STATUS_SUCCESS) {
@@ -635,7 +635,7 @@ class sparse_cholesky_cudss_t : public sparse_cholesky_base_t<i_t, f_t> {
 
     f_t symbolic_time = toc(start_symbolic);
     f_t analysis_time = toc(start_analysis);
-    settings_.log.printf("Symbolic factorization time: %.2fs\n", symbolic_time);
+    settings_.log.printf("Symbolic factorization time : %.2fs\n", symbolic_time);
     if (settings_.concurrent_halt != nullptr && *settings_.concurrent_halt == 1) {
       RAFT_CUDA_TRY(cudaStreamSynchronize(stream));
       handle_ptr_->get_stream().synchronize();
@@ -647,7 +647,7 @@ class sparse_cholesky_cudss_t : public sparse_cholesky_base_t<i_t, f_t> {
       cudssDataGet(handle, solverData, CUDSS_DATA_LU_NNZ, &lu_nz, sizeof(int64_t), &size_written),
       status,
       "cudssDataGet for LU_NNZ");
-    settings_.log.printf("Symbolic nonzeros in factor: %e\n", static_cast<f_t>(lu_nz) / 2.0);
+    settings_.log.printf("Symbolic nonzeros in factor : %.2e\n", static_cast<f_t>(lu_nz) / 2.0);
     RAFT_CUDA_TRY(cudaStreamSynchronize(stream));
     handle_ptr_->get_stream().synchronize();
     // TODO: Is there any way to get nonzeros in the factors?
@@ -703,7 +703,7 @@ class sparse_cholesky_cudss_t : public sparse_cholesky_base_t<i_t, f_t> {
     }
 
     if (first_factor) {
-      settings_.log.printf("Factor time %.2fs\n", numeric_time);
+      settings_.log.debug("Factorization time          : %.2fs\n", numeric_time);
       first_factor = false;
     }
     if (status != CUDSS_STATUS_SUCCESS) {