annotate src/share/vm/gc_implementation/shared/adaptiveSizePolicy.cpp @ 452:00b023ae2d78

6722113: CMS: Incorrect overflow handling during precleaning of Reference lists Summary: When we encounter marking stack overflow during precleaning of Reference lists, we were using the overflow list mechanism, which can cause problems on account of mutating the mark word of the header because of conflicts with mutator accesses and updates of that field. Instead we should use the usual mechanism for overflow handling in concurrent phases, namely dirtying of the card on which the overflowed object lies. Since precleaning effectively does a form of discovered list processing, albeit with discovery enabled, we needed to adjust some code to be correct in the face of interleaved processing and discovery. Reviewed-by: apetrusenko, jcoomes
author ysr
date Thu, 20 Nov 2008 12:27:41 -0800
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children 0bfd3fb24150
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1 /*
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2 * Copyright 2004-2006 Sun Microsystems, Inc. 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 Sun Microsystems, Inc., 4150 Network Circle, Santa Clara,
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20 * CA 95054 USA or visit www.sun.com if you need additional information or
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21 * have any questions.
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22 *
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23 */
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24 #include "incls/_precompiled.incl"
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25 #include "incls/_adaptiveSizePolicy.cpp.incl"
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26
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27 elapsedTimer AdaptiveSizePolicy::_minor_timer;
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28 elapsedTimer AdaptiveSizePolicy::_major_timer;
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29
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30 // The throughput goal is implemented as
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31 // _throughput_goal = 1 - ( 1 / (1 + gc_cost_ratio))
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32 // gc_cost_ratio is the ratio
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33 // application cost / gc cost
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34 // For example a gc_cost_ratio of 4 translates into a
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35 // throughput goal of .80
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36
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37 AdaptiveSizePolicy::AdaptiveSizePolicy(size_t init_eden_size,
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38 size_t init_promo_size,
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39 size_t init_survivor_size,
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40 double gc_pause_goal_sec,
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41 uint gc_cost_ratio) :
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42 _eden_size(init_eden_size),
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43 _promo_size(init_promo_size),
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44 _survivor_size(init_survivor_size),
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45 _gc_pause_goal_sec(gc_pause_goal_sec),
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46 _throughput_goal(1.0 - double(1.0 / (1.0 + (double) gc_cost_ratio))),
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47 _gc_time_limit_exceeded(false),
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48 _print_gc_time_limit_would_be_exceeded(false),
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49 _gc_time_limit_count(0),
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50 _latest_minor_mutator_interval_seconds(0),
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51 _threshold_tolerance_percent(1.0 + ThresholdTolerance/100.0),
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52 _young_gen_change_for_minor_throughput(0),
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53 _old_gen_change_for_major_throughput(0) {
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54 _avg_minor_pause =
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55 new AdaptivePaddedAverage(AdaptiveTimeWeight, PausePadding);
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56 _avg_minor_interval = new AdaptiveWeightedAverage(AdaptiveTimeWeight);
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57 _avg_minor_gc_cost = new AdaptiveWeightedAverage(AdaptiveTimeWeight);
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58 _avg_major_gc_cost = new AdaptiveWeightedAverage(AdaptiveTimeWeight);
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59
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60 _avg_young_live = new AdaptiveWeightedAverage(AdaptiveSizePolicyWeight);
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61 _avg_old_live = new AdaptiveWeightedAverage(AdaptiveSizePolicyWeight);
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62 _avg_eden_live = new AdaptiveWeightedAverage(AdaptiveSizePolicyWeight);
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63
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64 _avg_survived = new AdaptivePaddedAverage(AdaptiveSizePolicyWeight,
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65 SurvivorPadding);
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66 _avg_pretenured = new AdaptivePaddedNoZeroDevAverage(
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67 AdaptiveSizePolicyWeight,
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68 SurvivorPadding);
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69
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70 _minor_pause_old_estimator =
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71 new LinearLeastSquareFit(AdaptiveSizePolicyWeight);
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72 _minor_pause_young_estimator =
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73 new LinearLeastSquareFit(AdaptiveSizePolicyWeight);
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74 _minor_collection_estimator =
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75 new LinearLeastSquareFit(AdaptiveSizePolicyWeight);
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76 _major_collection_estimator =
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77 new LinearLeastSquareFit(AdaptiveSizePolicyWeight);
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78
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79 // Start the timers
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80 _minor_timer.start();
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81
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82 _young_gen_policy_is_ready = false;
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83 }
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84
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85 bool AdaptiveSizePolicy::tenuring_threshold_change() const {
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86 return decrement_tenuring_threshold_for_gc_cost() ||
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87 increment_tenuring_threshold_for_gc_cost() ||
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88 decrement_tenuring_threshold_for_survivor_limit();
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89 }
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90
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91 void AdaptiveSizePolicy::minor_collection_begin() {
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92 // Update the interval time
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93 _minor_timer.stop();
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94 // Save most recent collection time
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95 _latest_minor_mutator_interval_seconds = _minor_timer.seconds();
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96 _minor_timer.reset();
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97 _minor_timer.start();
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98 }
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99
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100 void AdaptiveSizePolicy::update_minor_pause_young_estimator(
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101 double minor_pause_in_ms) {
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102 double eden_size_in_mbytes = ((double)_eden_size)/((double)M);
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103 _minor_pause_young_estimator->update(eden_size_in_mbytes,
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104 minor_pause_in_ms);
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105 }
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106
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107 void AdaptiveSizePolicy::minor_collection_end(GCCause::Cause gc_cause) {
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108 // Update the pause time.
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109 _minor_timer.stop();
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110
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111 if (gc_cause != GCCause::_java_lang_system_gc ||
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112 UseAdaptiveSizePolicyWithSystemGC) {
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113 double minor_pause_in_seconds = _minor_timer.seconds();
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114 double minor_pause_in_ms = minor_pause_in_seconds * MILLIUNITS;
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115
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116 // Sample for performance counter
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117 _avg_minor_pause->sample(minor_pause_in_seconds);
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118
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119 // Cost of collection (unit-less)
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120 double collection_cost = 0.0;
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121 if ((_latest_minor_mutator_interval_seconds > 0.0) &&
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122 (minor_pause_in_seconds > 0.0)) {
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123 double interval_in_seconds =
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124 _latest_minor_mutator_interval_seconds + minor_pause_in_seconds;
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125 collection_cost =
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126 minor_pause_in_seconds / interval_in_seconds;
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127 _avg_minor_gc_cost->sample(collection_cost);
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128 // Sample for performance counter
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129 _avg_minor_interval->sample(interval_in_seconds);
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130 }
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131
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132 // The policy does not have enough data until at least some
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133 // minor collections have been done.
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134 _young_gen_policy_is_ready =
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135 (_avg_minor_gc_cost->count() >= AdaptiveSizePolicyReadyThreshold);
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136
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137 // Calculate variables used to estimate pause time vs. gen sizes
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138 double eden_size_in_mbytes = ((double)_eden_size)/((double)M);
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139 update_minor_pause_young_estimator(minor_pause_in_ms);
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140 update_minor_pause_old_estimator(minor_pause_in_ms);
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141
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142 if (PrintAdaptiveSizePolicy && Verbose) {
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143 gclog_or_tty->print("AdaptiveSizePolicy::minor_collection_end: "
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144 "minor gc cost: %f average: %f", collection_cost,
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145 _avg_minor_gc_cost->average());
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146 gclog_or_tty->print_cr(" minor pause: %f minor period %f",
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147 minor_pause_in_ms,
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148 _latest_minor_mutator_interval_seconds * MILLIUNITS);
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149 }
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150
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151 // Calculate variable used to estimate collection cost vs. gen sizes
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152 assert(collection_cost >= 0.0, "Expected to be non-negative");
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153 _minor_collection_estimator->update(eden_size_in_mbytes, collection_cost);
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154 }
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155
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156 // Interval times use this timer to measure the mutator time.
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157 // Reset the timer after the GC pause.
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158 _minor_timer.reset();
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159 _minor_timer.start();
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160 }
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161
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162 size_t AdaptiveSizePolicy::eden_increment(size_t cur_eden,
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163 uint percent_change) {
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164 size_t eden_heap_delta;
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165 eden_heap_delta = cur_eden / 100 * percent_change;
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166 return eden_heap_delta;
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167 }
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168
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169 size_t AdaptiveSizePolicy::eden_increment(size_t cur_eden) {
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170 return eden_increment(cur_eden, YoungGenerationSizeIncrement);
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171 }
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172
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173 size_t AdaptiveSizePolicy::eden_decrement(size_t cur_eden) {
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174 size_t eden_heap_delta = eden_increment(cur_eden) /
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175 AdaptiveSizeDecrementScaleFactor;
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176 return eden_heap_delta;
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177 }
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178
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179 size_t AdaptiveSizePolicy::promo_increment(size_t cur_promo,
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180 uint percent_change) {
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181 size_t promo_heap_delta;
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182 promo_heap_delta = cur_promo / 100 * percent_change;
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183 return promo_heap_delta;
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184 }
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185
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186 size_t AdaptiveSizePolicy::promo_increment(size_t cur_promo) {
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187 return promo_increment(cur_promo, TenuredGenerationSizeIncrement);
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188 }
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189
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190 size_t AdaptiveSizePolicy::promo_decrement(size_t cur_promo) {
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191 size_t promo_heap_delta = promo_increment(cur_promo);
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192 promo_heap_delta = promo_heap_delta / AdaptiveSizeDecrementScaleFactor;
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193 return promo_heap_delta;
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194 }
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195
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196 double AdaptiveSizePolicy::time_since_major_gc() const {
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197 _major_timer.stop();
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198 double result = _major_timer.seconds();
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199 _major_timer.start();
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200 return result;
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201 }
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202
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203 // Linear decay of major gc cost
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204 double AdaptiveSizePolicy::decaying_major_gc_cost() const {
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205 double major_interval = major_gc_interval_average_for_decay();
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206 double major_gc_cost_average = major_gc_cost();
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207 double decayed_major_gc_cost = major_gc_cost_average;
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208 if(time_since_major_gc() > 0.0) {
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209 decayed_major_gc_cost = major_gc_cost() *
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210 (((double) AdaptiveSizeMajorGCDecayTimeScale) * major_interval)
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211 / time_since_major_gc();
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212 }
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213
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214 // The decayed cost should always be smaller than the
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215 // average cost but the vagaries of finite arithmetic could
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216 // produce a larger value in decayed_major_gc_cost so protect
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217 // against that.
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218 return MIN2(major_gc_cost_average, decayed_major_gc_cost);
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219 }
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220
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221 // Use a value of the major gc cost that has been decayed
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222 // by the factor
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223 //
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224 // average-interval-between-major-gc * AdaptiveSizeMajorGCDecayTimeScale /
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225 // time-since-last-major-gc
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226 //
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227 // if the average-interval-between-major-gc * AdaptiveSizeMajorGCDecayTimeScale
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228 // is less than time-since-last-major-gc.
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229 //
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230 // In cases where there are initial major gc's that
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231 // are of a relatively high cost but no later major
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232 // gc's, the total gc cost can remain high because
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233 // the major gc cost remains unchanged (since there are no major
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234 // gc's). In such a situation the value of the unchanging
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235 // major gc cost can keep the mutator throughput below
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236 // the goal when in fact the major gc cost is becoming diminishingly
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237 // small. Use the decaying gc cost only to decide whether to
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238 // adjust for throughput. Using it also to determine the adjustment
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239 // to be made for throughput also seems reasonable but there is
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240 // no test case to use to decide if it is the right thing to do
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241 // don't do it yet.
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242
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243 double AdaptiveSizePolicy::decaying_gc_cost() const {
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244 double decayed_major_gc_cost = major_gc_cost();
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245 double avg_major_interval = major_gc_interval_average_for_decay();
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246 if (UseAdaptiveSizeDecayMajorGCCost &&
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247 (AdaptiveSizeMajorGCDecayTimeScale > 0) &&
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248 (avg_major_interval > 0.00)) {
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249 double time_since_last_major_gc = time_since_major_gc();
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250
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251 // Decay the major gc cost?
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252 if (time_since_last_major_gc >
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253 ((double) AdaptiveSizeMajorGCDecayTimeScale) * avg_major_interval) {
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254
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255 // Decay using the time-since-last-major-gc
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256 decayed_major_gc_cost = decaying_major_gc_cost();
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257 if (PrintGCDetails && Verbose) {
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258 gclog_or_tty->print_cr("\ndecaying_gc_cost: major interval average:"
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259 " %f time since last major gc: %f",
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260 avg_major_interval, time_since_last_major_gc);
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261 gclog_or_tty->print_cr(" major gc cost: %f decayed major gc cost: %f",
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262 major_gc_cost(), decayed_major_gc_cost);
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263 }
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264 }
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265 }
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266 double result = MIN2(1.0, decayed_major_gc_cost + minor_gc_cost());
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267 return result;
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268 }
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269
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270
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271 void AdaptiveSizePolicy::clear_generation_free_space_flags() {
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272 set_change_young_gen_for_min_pauses(0);
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273 set_change_old_gen_for_maj_pauses(0);
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274
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275 set_change_old_gen_for_throughput(0);
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276 set_change_young_gen_for_throughput(0);
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277 set_decrease_for_footprint(0);
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278 set_decide_at_full_gc(0);
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279 }
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280
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281 // Printing
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282
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283 bool AdaptiveSizePolicy::print_adaptive_size_policy_on(outputStream* st) const {
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284
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285 // Should only be used with adaptive size policy turned on.
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286 // Otherwise, there may be variables that are undefined.
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287 if (!UseAdaptiveSizePolicy) return false;
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288
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289 // Print goal for which action is needed.
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290 char* action = NULL;
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291 bool change_for_pause = false;
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292 if ((change_old_gen_for_maj_pauses() ==
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293 decrease_old_gen_for_maj_pauses_true) ||
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294 (change_young_gen_for_min_pauses() ==
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295 decrease_young_gen_for_min_pauses_true)) {
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296 action = (char*) " *** pause time goal ***";
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297 change_for_pause = true;
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298 } else if ((change_old_gen_for_throughput() ==
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299 increase_old_gen_for_throughput_true) ||
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300 (change_young_gen_for_throughput() ==
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301 increase_young_gen_for_througput_true)) {
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302 action = (char*) " *** throughput goal ***";
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303 } else if (decrease_for_footprint()) {
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304 action = (char*) " *** reduced footprint ***";
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305 } else {
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306 // No actions were taken. This can legitimately be the
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307 // situation if not enough data has been gathered to make
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308 // decisions.
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309 return false;
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310 }
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311
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312 // Pauses
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313 // Currently the size of the old gen is only adjusted to
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314 // change the major pause times.
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315 char* young_gen_action = NULL;
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316 char* tenured_gen_action = NULL;
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317
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318 char* shrink_msg = (char*) "(attempted to shrink)";
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319 char* grow_msg = (char*) "(attempted to grow)";
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320 char* no_change_msg = (char*) "(no change)";
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321 if (change_young_gen_for_min_pauses() ==
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322 decrease_young_gen_for_min_pauses_true) {
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323 young_gen_action = shrink_msg;
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324 } else if (change_for_pause) {
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325 young_gen_action = no_change_msg;
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326 }
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327
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328 if (change_old_gen_for_maj_pauses() == decrease_old_gen_for_maj_pauses_true) {
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329 tenured_gen_action = shrink_msg;
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330 } else if (change_for_pause) {
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331 tenured_gen_action = no_change_msg;
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332 }
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333
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334 // Throughput
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335 if (change_old_gen_for_throughput() == increase_old_gen_for_throughput_true) {
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336 assert(change_young_gen_for_throughput() ==
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337 increase_young_gen_for_througput_true,
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338 "Both generations should be growing");
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339 young_gen_action = grow_msg;
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340 tenured_gen_action = grow_msg;
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341 } else if (change_young_gen_for_throughput() ==
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342 increase_young_gen_for_througput_true) {
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343 // Only the young generation may grow at start up (before
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344 // enough full collections have been done to grow the old generation).
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345 young_gen_action = grow_msg;
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346 tenured_gen_action = no_change_msg;
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347 }
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348
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349 // Minimum footprint
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350 if (decrease_for_footprint() != 0) {
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351 young_gen_action = shrink_msg;
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352 tenured_gen_action = shrink_msg;
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353 }
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354
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355 st->print_cr(" UseAdaptiveSizePolicy actions to meet %s", action);
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356 st->print_cr(" GC overhead (%%)");
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357 st->print_cr(" Young generation: %7.2f\t %s",
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358 100.0 * avg_minor_gc_cost()->average(),
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diff changeset
359 young_gen_action);
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360 st->print_cr(" Tenured generation: %7.2f\t %s",
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361 100.0 * avg_major_gc_cost()->average(),
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362 tenured_gen_action);
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363 return true;
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diff changeset
364 }
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365
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366 bool AdaptiveSizePolicy::print_adaptive_size_policy_on(
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367 outputStream* st,
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368 int tenuring_threshold_arg) const {
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369 if (!AdaptiveSizePolicy::print_adaptive_size_policy_on(st)) {
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370 return false;
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371 }
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372
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373 // Tenuring threshold
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374 bool tenuring_threshold_changed = true;
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375 if (decrement_tenuring_threshold_for_survivor_limit()) {
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376 st->print(" Tenuring threshold: (attempted to decrease to avoid"
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parents:
diff changeset
377 " survivor space overflow) = ");
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parents:
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378 } else if (decrement_tenuring_threshold_for_gc_cost()) {
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diff changeset
379 st->print(" Tenuring threshold: (attempted to decrease to balance"
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380 " GC costs) = ");
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parents:
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381 } else if (increment_tenuring_threshold_for_gc_cost()) {
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382 st->print(" Tenuring threshold: (attempted to increase to balance"
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383 " GC costs) = ");
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parents:
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384 } else {
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diff changeset
385 tenuring_threshold_changed = false;
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parents:
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386 assert(!tenuring_threshold_change(), "(no change was attempted)");
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387 }
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parents:
diff changeset
388 if (tenuring_threshold_changed) {
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389 st->print_cr("%d", tenuring_threshold_arg);
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390 }
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391 return true;
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392 }