annotate src/share/vm/gc_implementation/shared/gcUtil.hpp @ 12146:9758d9f36299

8021954: VM SIGSEGV during classloading on MacOS; hs_err_pid file produced Summary: declare all user-defined operator new()s within Hotspot code with the empty throw() exception specification Reviewed-by: coleenp, twisti, dholmes, hseigel, dcubed, kvn, ccheung Contributed-by: lois.foltan@oracle.com
author coleenp
date Thu, 29 Aug 2013 18:56:29 -0400
parents b9a9ed0f8eeb
children 63a4eb8bcd23
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1 /*
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2 * Copyright (c) 2002, 2013, Oracle and/or its affiliates. All rights reserved.
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3 * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
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4 *
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5 * This code is free software; you can redistribute it and/or modify it
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6 * under the terms of the GNU General Public License version 2 only, as
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7 * published by the Free Software Foundation.
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8 *
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9 * This code is distributed in the hope that it will be useful, but WITHOUT
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10 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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11 * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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12 * version 2 for more details (a copy is included in the LICENSE file that
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13 * accompanied this code).
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14 *
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15 * You should have received a copy of the GNU General Public License version
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16 * 2 along with this work; if not, write to the Free Software Foundation,
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17 * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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18 *
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19 * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
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20 * or visit www.oracle.com if you need additional information or have any
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21 * questions.
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22 *
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23 */
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24
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25 #ifndef SHARE_VM_GC_IMPLEMENTATION_SHARED_GCUTIL_HPP
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26 #define SHARE_VM_GC_IMPLEMENTATION_SHARED_GCUTIL_HPP
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27
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28 #include "memory/allocation.hpp"
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29 #include "runtime/timer.hpp"
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30 #include "utilities/debug.hpp"
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31 #include "utilities/globalDefinitions.hpp"
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32 #include "utilities/ostream.hpp"
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33
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34 // Catch-all file for utility classes
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35
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36 // A weighted average maintains a running, weighted average
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37 // of some float value (templates would be handy here if we
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38 // need different types).
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39 //
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40 // The average is adaptive in that we smooth it for the
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41 // initial samples; we don't use the weight until we have
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42 // enough samples for it to be meaningful.
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43 //
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44 // This serves as our best estimate of a future unknown.
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45 //
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46 class AdaptiveWeightedAverage : public CHeapObj<mtGC> {
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47 private:
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48 float _average; // The last computed average
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49 unsigned _sample_count; // How often we've sampled this average
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50 unsigned _weight; // The weight used to smooth the averages
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51 // A higher weight favors the most
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52 // recent data.
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53 bool _is_old; // Has enough historical data
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54
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55 const static unsigned OLD_THRESHOLD = 100;
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56
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57 protected:
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58 float _last_sample; // The last value sampled.
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59
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60 void increment_count() {
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61 _sample_count++;
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62 if (!_is_old && _sample_count > OLD_THRESHOLD) {
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63 _is_old = true;
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64 }
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65 }
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66
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67 void set_average(float avg) { _average = avg; }
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68
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69 // Helper function, computes an adaptive weighted average
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70 // given a sample and the last average
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71 float compute_adaptive_average(float new_sample, float average);
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72
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73 public:
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74 // Input weight must be between 0 and 100
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75 AdaptiveWeightedAverage(unsigned weight, float avg = 0.0) :
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76 _average(avg), _sample_count(0), _weight(weight), _last_sample(0.0),
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77 _is_old(false) {
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78 }
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79
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80 void clear() {
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81 _average = 0;
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82 _sample_count = 0;
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83 _last_sample = 0;
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84 _is_old = false;
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85 }
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86
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87 // Useful for modifying static structures after startup.
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88 void modify(size_t avg, unsigned wt, bool force = false) {
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89 assert(force, "Are you sure you want to call this?");
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90 _average = (float)avg;
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91 _weight = wt;
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92 }
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93
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94 // Accessors
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95 float average() const { return _average; }
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96 unsigned weight() const { return _weight; }
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97 unsigned count() const { return _sample_count; }
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98 float last_sample() const { return _last_sample; }
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99 bool is_old() const { return _is_old; }
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100
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101 // Update data with a new sample.
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102 void sample(float new_sample);
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103
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104 static inline float exp_avg(float avg, float sample,
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105 unsigned int weight) {
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106 assert(0 <= weight && weight <= 100, "weight must be a percent");
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107 return (100.0F - weight) * avg / 100.0F + weight * sample / 100.0F;
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108 }
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109 static inline size_t exp_avg(size_t avg, size_t sample,
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110 unsigned int weight) {
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111 // Convert to float and back to avoid integer overflow.
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112 return (size_t)exp_avg((float)avg, (float)sample, weight);
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113 }
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114
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115 // Printing
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116 void print_on(outputStream* st) const;
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117 void print() const;
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118 };
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119
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120
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121 // A weighted average that includes a deviation from the average,
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122 // some multiple of which is added to the average.
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123 //
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124 // This serves as our best estimate of an upper bound on a future
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125 // unknown.
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126 class AdaptivePaddedAverage : public AdaptiveWeightedAverage {
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127 private:
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128 float _padded_avg; // The last computed padded average
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129 float _deviation; // Running deviation from the average
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130 unsigned _padding; // A multiple which, added to the average,
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131 // gives us an upper bound guess.
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132
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133 protected:
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134 void set_padded_average(float avg) { _padded_avg = avg; }
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135 void set_deviation(float dev) { _deviation = dev; }
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136
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137 public:
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138 AdaptivePaddedAverage() :
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139 AdaptiveWeightedAverage(0),
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140 _padded_avg(0.0), _deviation(0.0), _padding(0) {}
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141
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142 AdaptivePaddedAverage(unsigned weight, unsigned padding) :
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143 AdaptiveWeightedAverage(weight),
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144 _padded_avg(0.0), _deviation(0.0), _padding(padding) {}
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145
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146 // Placement support
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147 void* operator new(size_t ignored, void* p) throw() { return p; }
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148 // Allocator
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149 void* operator new(size_t size) throw() { return CHeapObj<mtGC>::operator new(size); }
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150
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151 // Accessor
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152 float padded_average() const { return _padded_avg; }
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153 float deviation() const { return _deviation; }
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154 unsigned padding() const { return _padding; }
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155
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156 void clear() {
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157 AdaptiveWeightedAverage::clear();
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158 _padded_avg = 0;
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159 _deviation = 0;
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160 }
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161
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162 // Override
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163 void sample(float new_sample);
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164
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165 // Printing
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166 void print_on(outputStream* st) const;
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167 void print() const;
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168 };
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169
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170 // A weighted average that includes a deviation from the average,
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171 // some multiple of which is added to the average.
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172 //
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173 // This serves as our best estimate of an upper bound on a future
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174 // unknown.
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175 // A special sort of padded average: it doesn't update deviations
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176 // if the sample is zero. The average is allowed to change. We're
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177 // preventing the zero samples from drastically changing our padded
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178 // average.
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179 class AdaptivePaddedNoZeroDevAverage : public AdaptivePaddedAverage {
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180 public:
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181 AdaptivePaddedNoZeroDevAverage(unsigned weight, unsigned padding) :
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182 AdaptivePaddedAverage(weight, padding) {}
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183 // Override
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184 void sample(float new_sample);
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185
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186 // Printing
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187 void print_on(outputStream* st) const;
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188 void print() const;
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189 };
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190
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191 // Use a least squares fit to a set of data to generate a linear
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192 // equation.
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193 // y = intercept + slope * x
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194
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195 class LinearLeastSquareFit : public CHeapObj<mtGC> {
0
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196 double _sum_x; // sum of all independent data points x
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197 double _sum_x_squared; // sum of all independent data points x**2
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198 double _sum_y; // sum of all dependent data points y
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199 double _sum_xy; // sum of all x * y.
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200 double _intercept; // constant term
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201 double _slope; // slope
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202 // The weighted averages are not currently used but perhaps should
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203 // be used to get decaying averages.
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204 AdaptiveWeightedAverage _mean_x; // weighted mean of independent variable
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205 AdaptiveWeightedAverage _mean_y; // weighted mean of dependent variable
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206
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207 public:
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208 LinearLeastSquareFit(unsigned weight);
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209 void update(double x, double y);
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210 double y(double x);
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211 double slope() { return _slope; }
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212 // Methods to decide if a change in the dependent variable will
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213 // achive a desired goal. Note that these methods are not
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214 // complementary and both are needed.
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215 bool decrement_will_decrease();
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216 bool increment_will_decrease();
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217 };
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218
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219 class GCPauseTimer : StackObj {
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220 elapsedTimer* _timer;
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221 public:
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222 GCPauseTimer(elapsedTimer* timer) {
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223 _timer = timer;
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224 _timer->stop();
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225 }
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226 ~GCPauseTimer() {
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227 _timer->start();
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228 }
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229 };
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230
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231 #endif // SHARE_VM_GC_IMPLEMENTATION_SHARED_GCUTIL_HPP