diff --git a/internal/ceres/benchmarks/macbook-pro-2014-small_blas_gemm_benchmark.json b/internal/ceres/benchmarks/macbook-pro-2014-small_blas_gemm_benchmark.json
index 0c67c43..e24572d 100644
--- a/internal/ceres/benchmarks/macbook-pro-2014-small_blas_gemm_benchmark.json
+++ b/internal/ceres/benchmarks/macbook-pro-2014-small_blas_gemm_benchmark.json
@@ -1,6 +1,6 @@
 {
   "context": {
-    "date": "2018-02-28 19:43:04",
+    "date": "2018-03-23 13:15:00",
     "num_cpus": 8,
     "mhz_per_cpu": 2200,
     "cpu_scaling_enabled": false,
@@ -8,2159 +8,3825 @@
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diff --git a/internal/ceres/benchmarks/macbook-pro-2014-small_blas_gemv_benchmark.json b/internal/ceres/benchmarks/macbook-pro-2014-small_blas_gemv_benchmark.json
index 3e483a2..a8a7795 100644
--- a/internal/ceres/benchmarks/macbook-pro-2014-small_blas_gemv_benchmark.json
+++ b/internal/ceres/benchmarks/macbook-pro-2014-small_blas_gemv_benchmark.json
@@ -1,6 +1,6 @@
 {
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+    "date": "2018-03-23 13:34:44",
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       "name": "BM_MatrixTransposeVectorMultiply/1/1",
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       "name": "BM_MatrixTransposeVectorMultiply/2/2",
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-      "iterations": 17142745,
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+      "name": "BM_MatrixTransposeVectorMultiply/2/15",
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     {
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     {
       "name": "BM_MatrixTransposeVectorMultiply/3/2",
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     {
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     {
       "name": "BM_MatrixTransposeVectorMultiply/3/4",
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     {
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-    {
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-      "iterations": 18768417,
-      "real_time": 3.6661212077921938e+01,
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+      "name": "BM_MatrixTransposeVectorMultiply/4/8",
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-      "iterations": 7869236,
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     {
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-      "iterations": 7417847,
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+      "name": "BM_MatrixTransposeVectorMultiply/6/1",
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+      "real_time": 1.0683369458878103e+01,
+      "cpu_time": 1.0683331078137206e+01,
+      "time_unit": "ns"
+    },
+    {
+      "name": "BM_MatrixTransposeVectorMultiply/6/2",
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+      "real_time": 1.5743454386474488e+01,
+      "cpu_time": 1.5741886638873094e+01,
+      "time_unit": "ns"
+    },
+    {
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+      "real_time": 2.0272604644448467e+01,
+      "cpu_time": 2.0265815453011015e+01,
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+    },
+    {
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+      "real_time": 2.4899265682219198e+01,
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+    },
+    {
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+      "time_unit": "ns"
+    },
+    {
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+      "iterations": 10657572,
+      "real_time": 6.7212158173757643e+01,
+      "cpu_time": 6.7206583263055407e+01,
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+    },
+    {
+      "name": "BM_MatrixTransposeVectorMultiply/6/15",
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+      "real_time": 8.0843434848483710e+01,
+      "cpu_time": 8.0843430809486151e+01,
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+    },
+    {
+      "name": "BM_MatrixTransposeVectorMultiply/8/1",
+      "iterations": 57066458,
+      "real_time": 1.2319644088657304e+01,
+      "cpu_time": 1.2319338270477425e+01,
+      "time_unit": "ns"
+    },
+    {
+      "name": "BM_MatrixTransposeVectorMultiply/8/2",
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+      "real_time": 1.8003573181401965e+01,
+      "cpu_time": 1.7997610908158087e+01,
+      "time_unit": "ns"
+    },
+    {
+      "name": "BM_MatrixTransposeVectorMultiply/8/3",
+      "iterations": 29869088,
+      "real_time": 2.4137524754083010e+01,
+      "cpu_time": 2.4137328866552775e+01,
+      "time_unit": "ns"
+    },
+    {
+      "name": "BM_MatrixTransposeVectorMultiply/8/4",
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+      "real_time": 3.0444019799836454e+01,
+      "cpu_time": 3.0442931485806785e+01,
+      "time_unit": "ns"
+    },
+    {
+      "name": "BM_MatrixTransposeVectorMultiply/8/8",
+      "iterations": 12552902,
+      "real_time": 5.4102999925791671e+01,
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+      "time_unit": "ns"
+    },
+    {
+      "name": "BM_MatrixTransposeVectorMultiply/8/12",
+      "iterations": 9204229,
+      "real_time": 7.7715734577381653e+01,
+      "cpu_time": 7.7705802408872202e+01,
+      "time_unit": "ns"
+    },
+    {
+      "name": "BM_MatrixTransposeVectorMultiply/8/15",
+      "iterations": 7493764,
+      "real_time": 9.3483444364895007e+01,
+      "cpu_time": 9.3483461715635883e+01,
       "time_unit": "ns"
     }
   ]
diff --git a/internal/ceres/small_blas_gemm_benchmark.cc b/internal/ceres/small_blas_gemm_benchmark.cc
index 748858b..0a760a5 100644
--- a/internal/ceres/small_blas_gemm_benchmark.cc
+++ b/internal/ceres/small_blas_gemm_benchmark.cc
@@ -34,6 +34,7 @@
 #include "ceres/small_blas.h"
 
 namespace ceres {
+namespace internal {
 
 // Benchmarking matrix-matrix multiply routines and optimizing memory
 // access requires that we make sure that they are not just sitting in
@@ -46,20 +47,19 @@
 class MatrixMatrixMultiplyData {
  public:
   MatrixMatrixMultiplyData(
-      int a_rows, int a_cols, int b_rows, int b_cols, int c_rows, int c_cols) {
-    num_elements_ = 1000;
-    a_size_ = a_rows * a_cols;
-    b_size_ = b_rows * b_cols;
-    c_size_ = c_cols * c_cols;
-    a_.resize(num_elements_ * a_size_, 1.00001);
-    b_.resize(num_elements_ * b_size_, 1.00002);
-    c_.resize(num_elements_ * c_size_, 1.00003);
-  }
+      int a_rows, int a_cols, int b_rows, int b_cols, int c_rows, int c_cols)
+      : num_elements_(1000),
+        a_size_(a_rows * a_cols),
+        b_size_(b_rows * b_cols),
+        c_size_(c_rows * c_cols),
+        a_(num_elements_ * a_size_, 1.00001),
+        b_(num_elements_ * b_size_, 0.5),
+        c_(num_elements_ * c_size_, -1.1) {}
 
   int num_elements() const { return num_elements_; }
-  double* GetA(int i) { return &a_[i * a_size_]; };
-  double* GetB(int i) { return &b_[i * b_size_]; };
-  double* GetC(int i) { return &c_[i * c_size_]; };
+  double* GetA(int i) { return &a_[i * a_size_]; }
+  double* GetB(int i) { return &b_[i * b_size_]; }
+  double* GetC(int i) { return &c_[i * c_size_]; }
 
  private:
   int num_elements_;
@@ -73,9 +73,9 @@
 
 static void MatrixMatrixMultiplySizeArguments(
     benchmark::internal::Benchmark* benchmark) {
-  std::vector<int> b_rows = {2, 4, 6, 8};
-  std::vector<int> b_cols = {2, 4, 6, 8, 10, 12, 15};
-  std::vector<int> c_cols = {2, 4, 6, 8, 10, 12, 15};
+  const std::vector<int> b_rows = {1, 2, 3, 4, 6, 8};
+  const std::vector<int> b_cols = {1, 2, 3, 4, 8, 12, 15};
+  const std::vector<int> c_cols = b_cols;
   for (int i : b_rows) {
     for (int j : b_cols) {
       for (int k : c_cols) {
@@ -86,24 +86,29 @@
 }
 
 void BM_MatrixMatrixMultiplyDynamic(benchmark::State& state) {
-  const int b_rows = state.range(0);
-  const int b_cols = state.range(1);
-  const int c_cols = state.range(2);
-  MatrixMatrixMultiplyData data(b_rows, c_cols, b_rows, b_cols, b_cols, c_cols);
+  const int i = state.range(0);
+  const int j = state.range(1);
+  const int k = state.range(2);
 
+  const int b_rows = i;
+  const int b_cols = j;
+  const int c_rows = b_cols;
+  const int c_cols = k;
+  const int a_rows = b_rows;
+  const int a_cols = c_cols;
+
+  MatrixMatrixMultiplyData data(a_rows, a_cols, b_rows, b_cols, c_rows, c_cols);
   const int num_elements = data.num_elements();
-  int i = 0;
+
+  int iter = 0;
   for (auto _ : state) {
-    i = (i + 1) % num_elements;
     // a += b * c
-    internal::MatrixMatrixMultiply<Eigen::Dynamic,
-                                   Eigen::Dynamic,
-                                   Eigen::Dynamic,
-                                   Eigen::Dynamic,
-                                   1>(data.GetB(i), b_rows, b_cols,
-                                      data.GetC(i), b_cols, c_cols,
-                                      data.GetA(i), 0, 0, b_rows, c_cols);
-    i = (i + 1) % num_elements;
+    MatrixMatrixMultiply
+        <Eigen::Dynamic, Eigen::Dynamic,Eigen::Dynamic,Eigen::Dynamic, 1>
+        (data.GetB(iter), b_rows, b_cols,
+         data.GetC(iter), c_rows, c_cols,
+         data.GetA(iter), 0, 0, a_rows, a_cols);
+    iter = (iter + 1) % num_elements;
   }
 }
 
@@ -112,9 +117,9 @@
 
 static void MatrixTransposeMatrixMultiplySizeArguments(
     benchmark::internal::Benchmark* benchmark) {
-  std::vector<int> b_rows = {2, 4, 6, 8};
-  std::vector<int> b_cols = {2, 4, 5, 8, 10, 12, 15};
-  std::vector<int> c_cols = {2, 4, 6, 8};
+  std::vector<int> b_rows = {1, 2, 3, 4, 6, 8};
+  std::vector<int> b_cols = {1, 2, 3, 4, 8, 12, 15};
+  std::vector<int> c_cols = b_rows;
   for (int i : b_rows) {
     for (int j : b_cols) {
       for (int k : c_cols) {
@@ -125,30 +130,36 @@
 }
 
 void BM_MatrixTransposeMatrixMultiplyDynamic(benchmark::State& state) {
-  const int b_rows = state.range(0);
-  const int b_cols = state.range(1);
-  const int c_cols = state.range(2);
-  MatrixMatrixMultiplyData data(b_cols, c_cols, b_rows, b_cols, b_cols, c_cols);
+  const int i = state.range(0);
+  const int j = state.range(1);
+  const int k = state.range(2);
 
+  const int b_rows = i;
+  const int b_cols = j;
+  const int c_rows = b_rows;
+  const int c_cols = k;
+  const int a_rows = b_cols;
+  const int a_cols = c_cols;
+
+  MatrixMatrixMultiplyData data(a_rows, a_cols, b_rows, b_cols, c_rows, c_cols);
   const int num_elements = data.num_elements();
-  int i = 0;
+
+  int iter = 0;
   for (auto _ : state) {
-    i = (i + 1) % num_elements;
-    // a += b * c
-    internal::MatrixTransposeMatrixMultiply<Eigen::Dynamic,
-                                            Eigen::Dynamic,
-                                            Eigen::Dynamic,
-                                            Eigen::Dynamic,
-                                            1>(data.GetB(i), b_rows, b_cols,
-                                               data.GetC(i), b_cols, c_cols,
-                                               data.GetA(i), 0, 0, b_cols, c_cols);
-    i = (i + 1) % num_elements;
+    // a += b' * c
+    MatrixTransposeMatrixMultiply
+        <Eigen::Dynamic,Eigen::Dynamic,Eigen::Dynamic,Eigen::Dynamic, 1>
+        (data.GetB(iter), b_rows, b_cols,
+         data.GetC(iter), c_rows, c_cols,
+         data.GetA(iter), 0, 0, a_rows, a_cols);
+    iter = (iter + 1) % num_elements;
   }
 }
 
 BENCHMARK(BM_MatrixTransposeMatrixMultiplyDynamic)
     ->Apply(MatrixTransposeMatrixMultiplySizeArguments);
 
+}  // internal
 }  // namespace ceres
 
 BENCHMARK_MAIN();
diff --git a/internal/ceres/small_blas_gemv_benchmark.cc b/internal/ceres/small_blas_gemv_benchmark.cc
index 513ff12..4b587bf 100644
--- a/internal/ceres/small_blas_gemv_benchmark.cc
+++ b/internal/ceres/small_blas_gemv_benchmark.cc
@@ -44,25 +44,23 @@
 // matrix and vector objects for use in the benchmark.
 class MatrixVectorMultiplyData {
  public:
-  MatrixVectorMultiplyData(int rows, int cols) {
-    rows_ = rows;
-    cols_ = cols;
-
-    num_elements_ = 1000;
-    a_.resize(num_elements_ * rows, 1.00001);
-    b_.resize(num_elements_ * rows * cols, 1.00002);
-    c_.resize(num_elements_ * cols, 1.00003);
-  }
+  MatrixVectorMultiplyData(int rows, int cols)
+      : num_elements_(1000),
+        rows_(rows),
+        cols_(cols),
+        a_(num_elements_ * rows, 1.001),
+        b_(num_elements_ * rows * cols, 1.5),
+        c_(num_elements_ * cols, 1.00003) {}
 
   int num_elements() const { return num_elements_; }
-  double* GetA(int i) { return &a_[i * rows_]; };
-  double* GetB(int i) { return &b_[i * rows_ * cols_]; };
-  double* GetC(int i) { return &c_[i * cols_]; };
+  double* GetA(int i) { return &a_[i * rows_]; }
+  double* GetB(int i) { return &b_[i * rows_ * cols_]; }
+  double* GetC(int i) { return &c_[i * cols_]; }
 
  private:
-  int num_elements_;
-  int rows_;
-  int cols_;
+  const int num_elements_;
+  const int rows_;
+  const int cols_;
   std::vector<double> a_;
   std::vector<double> b_;
   std::vector<double> c_;
@@ -71,8 +69,8 @@
 // Helper function to generate the various matrix sizes for which we
 // run the benchmark.
 static void MatrixSizeArguments(benchmark::internal::Benchmark* benchmark) {
-  std::vector<int> rows = {1, 2, 3, 4};
-  std::vector<int> cols = {1, 2, 3, 4, 6, 7, 12, 16, 20};
+  std::vector<int> rows = {1, 2, 3, 4, 6, 8};
+  std::vector<int> cols = {1, 2, 3, 4, 8, 12, 15};
   for (int r : rows) {
     for (int c : cols) {
       benchmark->Args({r, c});
@@ -85,12 +83,12 @@
   const int cols = state.range(1);
   MatrixVectorMultiplyData data(rows, cols);
   const int num_elements = data.num_elements();
-  int i = 0;
+  int iter = 0;
   for (auto _ : state) {
     // A += B * C;
     internal::MatrixVectorMultiply<Eigen::Dynamic, Eigen::Dynamic, 1>(
-        data.GetB(i), rows, cols, data.GetC(i), data.GetA(i));
-    i = (i + 1) % num_elements;
+        data.GetB(iter), rows, cols, data.GetC(iter), data.GetA(iter));
+    iter = (iter + 1) % num_elements;
   }
 }
 
@@ -101,11 +99,11 @@
   const int cols = state.range(1);
   MatrixVectorMultiplyData data(cols, rows);
   const int num_elements = data.num_elements();
-  int i = 0;
+  int iter = 0;
   for (auto _ : state) {
     internal::MatrixTransposeVectorMultiply<Eigen::Dynamic, Eigen::Dynamic, 1>(
-        data.GetB(i), rows, cols, data.GetC(i), data.GetA(i));
-    i = (i + 1) % num_elements;
+        data.GetB(iter), rows, cols, data.GetC(iter), data.GetA(iter));
+    iter = (iter + 1) % num_elements;
   }
 }