diff --git a/gtsam/base/DenseQRUtil.cpp b/gtsam/base/DenseQRUtil.cpp
index 249f4dfe0..32e26742a 100644
--- a/gtsam/base/DenseQRUtil.cpp
+++ b/gtsam/base/DenseQRUtil.cpp
@@ -150,19 +150,17 @@ namespace gtsam {
 	}
 
 	void householder_denseqr_colmajor(ublas::matrix<double, ublas::column_major>& A, int *Stair) {
-    tic("householder_denseqr");
-
     int m = A.size1();
     int n = A.size2();
 
     assert(Stair != NULL);
 
-    tic("householder_denseqr: denseqr_front");
+    tic("householder_denseqr");
     int npiv = min(m,n);
 		int b = min(min(m,n),32);
     double W[b*(n+b)];
     DenseQR(m, n, npiv, A.data().begin(), Stair, W);
-    toc("householder_denseqr: denseqr_front");
+    toc("householder_denseqr");
 	}
 
 } // namespace gtsam
diff --git a/tests/timeMultifrontalOnDataset.cpp b/tests/timeMultifrontalOnDataset.cpp
index 6ba5503be..dcd8470b5 100644
--- a/tests/timeMultifrontalOnDataset.cpp
+++ b/tests/timeMultifrontalOnDataset.cpp
@@ -45,7 +45,7 @@ int main(int argc, char *argv[]) {
   toc_("Z 2 linearize");
   tictoc_print_();
 
-  for(size_t trial = 0; trial < 100; ++trial) {
+  for(size_t trial = 0; trial < 10; ++trial) {
 
     tic_("Z 3 solve");
     VectorValues soln(*GaussianMultifrontalSolver(*gfg).optimize());
diff --git a/tests/timeSequentialOnDataset.cpp b/tests/timeSequentialOnDataset.cpp
index 2850e2e32..9be51d0ad 100644
--- a/tests/timeSequentialOnDataset.cpp
+++ b/tests/timeSequentialOnDataset.cpp
@@ -45,7 +45,7 @@ int main(int argc, char *argv[]) {
   toc_("Z 2 linearize");
   tictoc_print_();
 
-  for(size_t trial = 0; trial < 100; ++trial) {
+  for(size_t trial = 0; trial < 10; ++trial) {
 
     tic_("Z 3 solve");
     VectorValues soln(*GaussianSequentialSolver(*gfg).optimize());