--- /dev/null	2017-01-22 10:16:57.869617664 -0800
+++ new/src/jdk.internal.vm.compiler/share/classes/org.graalvm.compiler.microbenchmarks/src/micro/benchmarks/MathFunctionBenchmark.java	2017-02-15 17:06:13.307527386 -0800
@@ -0,0 +1,103 @@
+/*
+ * Copyright (c) 2015, 2015, Oracle and/or its affiliates. All rights reserved.
+ * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
+ *
+ * This code is free software; you can redistribute it and/or modify it
+ * under the terms of the GNU General Public License version 2 only, as
+ * published by the Free Software Foundation.
+ *
+ * This code is distributed in the hope that it will be useful, but WITHOUT
+ * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
+ * FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
+ * version 2 for more details (a copy is included in the LICENSE file that
+ * accompanied this code).
+ *
+ * You should have received a copy of the GNU General Public License version
+ * 2 along with this work; if not, write to the Free Software Foundation,
+ * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
+ *
+ * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
+ * or visit www.oracle.com if you need additional information or have any
+ * questions.
+ */
+package micro.benchmarks;
+
+import java.util.Random;
+
+import org.openjdk.jmh.annotations.Benchmark;
+import org.openjdk.jmh.annotations.Scope;
+import org.openjdk.jmh.annotations.State;
+import org.openjdk.jmh.annotations.Warmup;
+
+import org.graalvm.compiler.microbenchmarks.graal.GraalBenchmark;
+
+/**
+ * Benchmarks cost of Math intrinsics.
+ */
+public class MathFunctionBenchmark extends GraalBenchmark {
+
+    @State(Scope.Benchmark)
+    public static class ThreadState {
+        double[] data = randomDoubles(100);
+        double[] result = new double[100];
+
+        static double[] randomDoubles(int len) {
+            double[] data = new double[len];
+            Random r = new Random();
+            for (int i = 0; i < data.length; i++) {
+                data[i] = r.nextDouble();
+            }
+            return data;
+        }
+    }
+
+    @Benchmark
+    @Warmup(iterations = 5)
+    public void mathLog(ThreadState state) {
+        double[] data = state.data;
+        for (int i = 0; i < data.length; i++) {
+            double[] result = state.result;
+            result[i] = Math.log(data[i]);
+        }
+    }
+
+    @Benchmark
+    @Warmup(iterations = 5)
+    public void mathLog10(ThreadState state) {
+        double[] data = state.data;
+        for (int i = 0; i < data.length; i++) {
+            double[] result = state.result;
+            result[i] = Math.log10(data[i]);
+        }
+    }
+
+    @Benchmark
+    @Warmup(iterations = 5)
+    public void mathSin(ThreadState state) {
+        double[] data = state.data;
+        for (int i = 0; i < data.length; i++) {
+            double[] result = state.result;
+            result[i] = Math.sin(data[i]);
+        }
+    }
+
+    @Benchmark
+    @Warmup(iterations = 5)
+    public void mathCos(ThreadState state) {
+        double[] data = state.data;
+        for (int i = 0; i < data.length; i++) {
+            double[] result = state.result;
+            result[i] = Math.cos(data[i]);
+        }
+    }
+
+    @Benchmark
+    @Warmup(iterations = 5)
+    public void mathTan(ThreadState state) {
+        double[] data = state.data;
+        for (int i = 0; i < data.length; i++) {
+            double[] result = state.result;
+            result[i] = Math.tan(data[i]);
+        }
+    }
+}