Add the X10 language (http://x10-lang.org/).

samples/X10/ArraySum.x10

@@ -0,0 +1,72 @@
+/*
+ *  This file is part of the X10 project (http://x10-lang.org).
+ *
+ *  This file is licensed to You under the Eclipse Public License (EPL);
+ *  You may not use this file except in compliance with the License.
+ *  You may obtain a copy of the License at
+ *      http://www.opensource.org/licenses/eclipse-1.0.php
+ *
+ *  (C) Copyright IBM Corporation 2006-2014.
+ */
+
+import x10.io.Console;
+
+/**
+ * A simple illustration of loop parallelization within a single place.
+ */
+public class ArraySum {
+
+    var sum:Long;
+    val data:Rail[Long];
+
+    public def this(n:Long) {
+	// Create a Rail with n elements (0..(n-1)), all initialized to 1.
+        data = new Rail[Long](n, 1);
+        sum = 0;
+    }
+
+    def sum(a:Rail[Long], start:Long, last:Long) {
+        var mySum: Long = 0;
+        for (i in start..(last-1)) { 
+        	mySum += a(i);
+        }
+        return mySum;
+    }
+
+    def sum(numThreads:Long) {
+        val mySize = data.size/numThreads;
+        finish for (p in 0..(numThreads-1)) async {
+            val mySum = sum(data, p*mySize, (p+1)*mySize);
+            // Multiple activities will simultaneously update
+            // this location -- so use an atomic operation.
+            atomic sum += mySum;
+        }
+    }
+    
+    public static def main(args:Rail[String]) {
+        var size:Long = 5*1000*1000;
+        if (args.size >=1)
+            size = Long.parse(args(0));
+
+        Console.OUT.println("Initializing.");
+        val a = new ArraySum(size);
+        val P = [1,2,4];
+
+        //warmup loop
+        Console.OUT.println("Warming up.");
+        for (numThreads in P)
+            a.sum(numThreads);
+        
+        for (numThreads in P) {
+            Console.OUT.println("Starting with " + numThreads + " threads.");
+            a.sum=0;
+            var time: long = - System.nanoTime();
+            a.sum(numThreads);
+            time += System.nanoTime();
+            Console.OUT.println("For p=" + numThreads
+                    + " result: " + a.sum 
+                    + ((size==a.sum)? " ok" : "  bad") 
+                    + " (time=" + (time/(1000*1000)) + " ms)");
+        }
+    }
+}