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src/share/vm/gc/shared/gcUtil.cpp

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rev 8362 : [mq]: hotspot
   1 /*
   2  * Copyright (c) 2002, 2012, Oracle and/or its affiliates. All rights reserved.
   3  * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
   4  *
   5  * This code is free software; you can redistribute it and/or modify it
   6  * under the terms of the GNU General Public License version 2 only, as
   7  * published by the Free Software Foundation.
   8  *
   9  * This code is distributed in the hope that it will be useful, but WITHOUT
  10  * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
  11  * FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
  12  * version 2 for more details (a copy is included in the LICENSE file that
  13  * accompanied this code).
  14  *
  15  * You should have received a copy of the GNU General Public License version
  16  * 2 along with this work; if not, write to the Free Software Foundation,
  17  * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
  18  *
  19  * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
  20  * or visit www.oracle.com if you need additional information or have any
  21  * questions.
  22  *
  23  */
  24 
  25 #include "precompiled.hpp"
  26 #include "gc_implementation/shared/gcUtil.hpp"
  27 
  28 // Catch-all file for utility classes
  29 
  30 float AdaptiveWeightedAverage::compute_adaptive_average(float new_sample,
  31                                                         float average) {
  32   // We smooth the samples by not using weight() directly until we've
  33   // had enough data to make it meaningful. We'd like the first weight
  34   // used to be 1, the second to be 1/2, etc until we have
  35   // OLD_THRESHOLD/weight samples.
  36   unsigned count_weight = 0;
  37 
  38   // Avoid division by zero if the counter wraps (7158457)
  39   if (!is_old()) {
  40     count_weight = OLD_THRESHOLD/count();
  41   }
  42 
  43   unsigned adaptive_weight = (MAX2(weight(), count_weight));
  44 
  45   float new_avg = exp_avg(average, new_sample, adaptive_weight);
  46 


   1 /*
   2  * Copyright (c) 2002, 2015, Oracle and/or its affiliates. All rights reserved.
   3  * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
   4  *
   5  * This code is free software; you can redistribute it and/or modify it
   6  * under the terms of the GNU General Public License version 2 only, as
   7  * published by the Free Software Foundation.
   8  *
   9  * This code is distributed in the hope that it will be useful, but WITHOUT
  10  * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
  11  * FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
  12  * version 2 for more details (a copy is included in the LICENSE file that
  13  * accompanied this code).
  14  *
  15  * You should have received a copy of the GNU General Public License version
  16  * 2 along with this work; if not, write to the Free Software Foundation,
  17  * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
  18  *
  19  * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
  20  * or visit www.oracle.com if you need additional information or have any
  21  * questions.
  22  *
  23  */
  24 
  25 #include "precompiled.hpp"
  26 #include "gc/shared/gcUtil.hpp"
  27 
  28 // Catch-all file for utility classes
  29 
  30 float AdaptiveWeightedAverage::compute_adaptive_average(float new_sample,
  31                                                         float average) {
  32   // We smooth the samples by not using weight() directly until we've
  33   // had enough data to make it meaningful. We'd like the first weight
  34   // used to be 1, the second to be 1/2, etc until we have
  35   // OLD_THRESHOLD/weight samples.
  36   unsigned count_weight = 0;
  37 
  38   // Avoid division by zero if the counter wraps (7158457)
  39   if (!is_old()) {
  40     count_weight = OLD_THRESHOLD/count();
  41   }
  42 
  43   unsigned adaptive_weight = (MAX2(weight(), count_weight));
  44 
  45   float new_avg = exp_avg(average, new_sample, adaptive_weight);
  46 


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