Update intsimdmatrix.cpp

Unroll loop into chunks of four operations to facilitate compilers recognizing vectorization opportunity.

src/arch/intsimdmatrix.cpp

@@ -80,7 +80,32 @@ void IntSimdMatrix::MatrixDotVector(const GENERIC_2D_ARRAY<int8_t> &w,
   int num_out = w.dim1();
   int num_in = w.dim2() - 1;
   // Base implementation.
-  for (int i = 0; i < num_out; ++i) {
+  int i;
+  // Break up into chunks of four to facilitate vectorization
+  for (i = 0; i < (num_out / 4) * 4; i += 4) {
+    const int8_t *wi0 = w[i + 0];
+    const int8_t *wi1 = w[i + 1];
+    const int8_t *wi2 = w[i + 2];
+    const int8_t *wi3 = w[i + 3];
+    int total0 = 0;
+    int total1 = 0;
+    int total2 = 0;
+    int total3 = 0;
+    for (int j = 0; j < num_in; ++j) {
+      total0 += wi0[j] * u[j];
+      total1 += wi1[j] * u[j];
+      total2 += wi2[j] * u[j];
+      total3 += wi3[j] * u[j];
+    }
+    // Add in the bias and correct for integer values.
+    v[i + 0] = (total0 + wi0[num_in] * INT8_MAX) * scales[i + 0];
+    v[i + 1] = (total1 + wi1[num_in] * INT8_MAX) * scales[i + 1];
+    v[i + 2] = (total2 + wi2[num_in] * INT8_MAX) * scales[i + 2];
+    v[i + 3] = (total3 + wi3[num_in] * INT8_MAX) * scales[i + 3];
+  }
+
+  // Capture the remainder mod four
+  for (; i < num_out; i++) {
     const int8_t *wi = w[i];
     int total = 0;
     for (int j = 0; j < num_in; ++j) {