From 045c0dc29fc31a8d3f15da8b3130dbc4706ea581 Mon Sep 17 00:00:00 2001
From: Yann Herklotz <git@yannherklotz.com>
Date: Thu, 13 Aug 2020 23:24:40 +0100
Subject: Add modified polybench benchmarks

---
 benchmarks/polybench-syn/data-mining/covariance.c | 108 ++++++++++++++++++++++
 1 file changed, 108 insertions(+)
 create mode 100644 benchmarks/polybench-syn/data-mining/covariance.c

(limited to 'benchmarks/polybench-syn/data-mining')

diff --git a/benchmarks/polybench-syn/data-mining/covariance.c b/benchmarks/polybench-syn/data-mining/covariance.c
new file mode 100644
index 0000000..63f2320
--- /dev/null
+++ b/benchmarks/polybench-syn/data-mining/covariance.c
@@ -0,0 +1,108 @@
+/**
+ * This version is stamped on May 10, 2016
+ *
+ * Contact:
+ *   Louis-Noel Pouchet <pouchet.ohio-state.edu>
+ *   Tomofumi Yuki <tomofumi.yuki.fr>
+ *
+ * Web address: http://polybench.sourceforge.net
+ */
+/* covariance.c: this file is part of PolyBench/C */
+
+#define plus(i) i = i + ONE
+static
+void init_array (int m, int n,
+   int *float_n,
+   int data[ 32 + 0][28 + 0])
+{
+  int i, j;
+  int ONE = 1;
+  int DIV = 28;
+
+  *float_n = (int)n;
+
+  for (i = 0; i < 32; plus(i))
+    for (j = 0; j < 28; plus(j))
+      data[i][j] = ((int) i*j) / DIV;
+}
+
+
+
+
+static
+int print_array(int m,
+   int cov[ 28 + 0][28 + 0])
+
+{
+  int i, j;
+  int ONE = 1;
+  int res = 0;
+  for (i = 0; i < m; plus(i))
+    for (j = 0; j < m; plus(j)) {
+      res ^= cov[i][j];
+    }
+    return res;
+}
+
+
+
+
+static
+void kernel_covariance(int m, int n,
+         int float_n,
+         int data[ 32 + 0][28 + 0],
+         int cov[ 28 + 0][28 + 0],
+         int mean[ 28 + 0])
+{
+  int i, j, k;
+  int ONE = 1;
+
+#pragma scop
+ for (j = 0; j < m; plus(j))
+    {
+      mean[j] = 0;
+      for (i = 0; i < n; plus(i))
+        mean[j] += data[i][j];
+      mean[j] /= float_n;
+    }
+
+  for (i = 0; i < n; plus(i))
+    for (j = 0; j < m; plus(j))
+      data[i][j] -= mean[j];
+
+  for (i = 0; i < m; plus(i))
+    for (j = i; j < m; plus(j))
+      {
+        cov[i][j] = 0;
+        for (k = 0; k < n; plus(k))
+   cov[i][j] += data[k][i] * data[k][j];
+        cov[i][j] /= (float_n - ONE);
+        cov[j][i] = cov[i][j];
+      }
+#pragma endscop
+
+}
+
+
+int main()
+{
+
+  int n = 32;
+  int m = 28;
+
+
+  int float_n;
+  int data[32 + 0][28 + 0];
+  int mean[28 + 0]; 
+  int cov[28 + 0][28 + 0]; 
+
+  init_array (m, n, &float_n, data);
+
+  kernel_covariance (m, n, float_n,
+       data,
+       cov,
+       mean);
+
+  return print_array(m, cov);
+
+}
-- 
cgit