test/hotspot/jtreg/compiler/loopopts/TestLogSum.java
changeset 47216 71c04702a3d5
parent 40059 c2304140ed64
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test/hotspot/jtreg/compiler/loopopts/TestLogSum.java	Tue Sep 12 19:03:39 2017 +0200
@@ -0,0 +1,115 @@
+/*
+ * Copyright (c) 2014, 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.
+ */
+
+/*
+ * @test
+ * @bug 8046516
+ * @summary Segmentation fault in JVM (easily reproducible)
+ *
+ * @run main/othervm -XX:-TieredCompilation -Xbatch compiler.loopopts.TestLogSum
+ * @author jackkamm@gmail.com
+ */
+
+package compiler.loopopts;
+
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+public class TestLogSum {
+  public static void main(String[] args) {
+    double sum;
+
+    for (int i = 0; i < 6; i++) {
+        for (int n = 2; n < 30; n++) {
+           for (int j = 1; j <= n; j++) {
+              for (int k = 1; k <= j; k++) {
+                // System.out.println(computeSum(k, j));
+                sum = computeSum(k, j);
+              }
+           }
+        }
+      }
+   }
+
+   private static Map<List<Integer>, Double> cache = new HashMap<List<Integer>, Double>();
+   public static double computeSum(int x, int y) {
+      List<Integer> key = Arrays.asList(new Integer[] {x, y});
+
+      if (!cache.containsKey(key)) {
+
+        // explicitly creating/updating a double[] array, instead of using the LogSumArray wrapper object, will prevent the error
+        LogSumArray toReturn = new LogSumArray(x);
+
+        // changing loop indices will prevent the error
+        // in particular, for(z=0; z<x-1; z++), and then using z+1 in place of z, will not produce error
+        for (int z = 1; z < x+1; z++) {
+           double logSummand = Math.log(z + x + y);
+           toReturn.addLogSummand(logSummand);
+        }
+
+        // returning the value here without cacheing it will prevent the segfault
+        cache.put(key, toReturn.retrieveLogSum());
+      }
+      return cache.get(key);
+   }
+
+   /*
+    * Given a bunch of logarithms log(X),log(Y),log(Z),...
+    * This class is used to compute the log of the sum, log(X+Y+Z+...)
+    */
+   private static class LogSumArray {
+      private double[] logSummandArray;
+      private int currSize;
+
+      private double maxLogSummand;
+
+      public LogSumArray(int maxEntries) {
+        this.logSummandArray = new double[maxEntries];
+
+        this.currSize = 0;
+        this.maxLogSummand = Double.NEGATIVE_INFINITY;
+      }
+
+      public void addLogSummand(double logSummand) {
+        logSummandArray[currSize] = logSummand;
+        currSize++;
+        // removing this line will prevent the error
+        maxLogSummand = Math.max(maxLogSummand, logSummand);
+      }
+
+      public double retrieveLogSum() {
+        if (maxLogSummand == Double.NEGATIVE_INFINITY) return Double.NEGATIVE_INFINITY;
+
+        assert currSize <= logSummandArray.length;
+
+        double factorSum = 0;
+        for (int i = 0; i < currSize; i++) {
+           factorSum += Math.exp(logSummandArray[i] - maxLogSummand);
+        }
+
+        return Math.log(factorSum) + maxLogSummand;
+      }
+   }
+}