Mercurial > hg > truffle
annotate src/share/vm/gc_implementation/shared/allocationStats.hpp @ 19083:09292c24d555
LSStackSlotAllocator: hide inner class.
author | Josef Eisl <josef.eisl@jku.at> |
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date | Sat, 31 Jan 2015 11:07:15 +0100 |
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0 | 1 /* |
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2 * Copyright (c) 2001, 2014, Oracle and/or its affiliates. All rights reserved. |
0 | 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 * | |
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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. |
0 | 22 * |
23 */ | |
24 | |
1972 | 25 #ifndef SHARE_VM_GC_IMPLEMENTATION_SHARED_ALLOCATIONSTATS_HPP |
26 #define SHARE_VM_GC_IMPLEMENTATION_SHARED_ALLOCATIONSTATS_HPP | |
27 | |
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28 #include "utilities/macros.hpp" |
1972 | 29 #include "memory/allocation.hpp" |
30 #include "utilities/globalDefinitions.hpp" | |
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31 #include "gc_implementation/shared/gcUtil.hpp" |
1972 | 32 |
0 | 33 class AllocationStats VALUE_OBJ_CLASS_SPEC { |
34 // A duration threshold (in ms) used to filter | |
35 // possibly unreliable samples. | |
36 static float _threshold; | |
37 | |
38 // We measure the demand between the end of the previous sweep and | |
39 // beginning of this sweep: | |
40 // Count(end_last_sweep) - Count(start_this_sweep) | |
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41 // + split_births(between) - split_deaths(between) |
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42 // The above number divided by the time since the end of the |
0 | 43 // previous sweep gives us a time rate of demand for blocks |
44 // of this size. We compute a padded average of this rate as | |
45 // our current estimate for the time rate of demand for blocks | |
46 // of this size. Similarly, we keep a padded average for the time | |
47 // between sweeps. Our current estimate for demand for blocks of | |
48 // this size is then simply computed as the product of these two | |
49 // estimates. | |
50 AdaptivePaddedAverage _demand_rate_estimate; | |
51 | |
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52 ssize_t _desired; // Demand stimate computed as described above |
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53 ssize_t _coal_desired; // desired +/- small-percent for tuning coalescing |
0 | 54 |
55 ssize_t _surplus; // count - (desired +/- small-percent), | |
56 // used to tune splitting in best fit | |
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57 ssize_t _bfr_surp; // surplus at start of current sweep |
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58 ssize_t _prev_sweep; // count from end of previous sweep |
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59 ssize_t _before_sweep; // count from before current sweep |
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60 ssize_t _coal_births; // additional chunks from coalescing |
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61 ssize_t _coal_deaths; // loss from coalescing |
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62 ssize_t _split_births; // additional chunks from splitting |
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63 ssize_t _split_deaths; // loss from splitting |
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64 size_t _returned_bytes; // number of bytes returned to list. |
0 | 65 public: |
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66 void initialize(bool split_birth = false) { |
0 | 67 AdaptivePaddedAverage* dummy = |
68 new (&_demand_rate_estimate) AdaptivePaddedAverage(CMS_FLSWeight, | |
69 CMS_FLSPadding); | |
70 _desired = 0; | |
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71 _coal_desired = 0; |
0 | 72 _surplus = 0; |
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73 _bfr_surp = 0; |
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74 _prev_sweep = 0; |
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75 _before_sweep = 0; |
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76 _coal_births = 0; |
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77 _coal_deaths = 0; |
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78 _split_births = (split_birth ? 1 : 0); |
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79 _split_deaths = 0; |
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80 _returned_bytes = 0; |
0 | 81 } |
82 | |
83 AllocationStats() { | |
84 initialize(); | |
85 } | |
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86 |
0 | 87 // The rate estimate is in blocks per second. |
88 void compute_desired(size_t count, | |
89 float inter_sweep_current, | |
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90 float inter_sweep_estimate, |
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91 float intra_sweep_estimate) { |
0 | 92 // If the latest inter-sweep time is below our granularity |
93 // of measurement, we may call in here with | |
94 // inter_sweep_current == 0. However, even for suitably small | |
95 // but non-zero inter-sweep durations, we may not trust the accuracy | |
96 // of accumulated data, since it has not been "integrated" | |
97 // (read "low-pass-filtered") long enough, and would be | |
98 // vulnerable to noisy glitches. In such cases, we | |
99 // ignore the current sample and use currently available | |
100 // historical estimates. | |
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101 assert(prev_sweep() + split_births() + coal_births() // "Total Production Stock" |
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102 >= split_deaths() + coal_deaths() + (ssize_t)count, // "Current stock + depletion" |
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103 "Conservation Principle"); |
0 | 104 if (inter_sweep_current > _threshold) { |
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105 ssize_t demand = prev_sweep() - (ssize_t)count + split_births() + coal_births() |
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106 - split_deaths() - coal_deaths(); |
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107 assert(demand >= 0, |
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108 err_msg("Demand (" SSIZE_FORMAT ") should be non-negative for " |
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109 PTR_FORMAT " (size=" SIZE_FORMAT ")", |
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110 demand, p2i(this), count)); |
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111 // Defensive: adjust for imprecision in event counting |
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112 if (demand < 0) { |
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113 demand = 0; |
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114 } |
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115 float old_rate = _demand_rate_estimate.padded_average(); |
0 | 116 float rate = ((float)demand)/inter_sweep_current; |
117 _demand_rate_estimate.sample(rate); | |
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118 float new_rate = _demand_rate_estimate.padded_average(); |
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119 ssize_t old_desired = _desired; |
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120 float delta_ise = (CMSExtrapolateSweep ? intra_sweep_estimate : 0.0); |
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121 _desired = (ssize_t)(new_rate * (inter_sweep_estimate + delta_ise)); |
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122 if (PrintFLSStatistics > 1) { |
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123 gclog_or_tty->print_cr( |
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124 "demand: " SSIZE_FORMAT ", old_rate: %f, current_rate: %f, new_rate: %f, old_desired: " SSIZE_FORMAT ", new_desired: " SSIZE_FORMAT, |
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125 demand, old_rate, rate, new_rate, old_desired, _desired); |
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126 } |
0 | 127 } |
128 } | |
129 | |
130 ssize_t desired() const { return _desired; } | |
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131 void set_desired(ssize_t v) { _desired = v; } |
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132 |
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133 ssize_t coal_desired() const { return _coal_desired; } |
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134 void set_coal_desired(ssize_t v) { _coal_desired = v; } |
0 | 135 |
136 ssize_t surplus() const { return _surplus; } | |
137 void set_surplus(ssize_t v) { _surplus = v; } | |
138 void increment_surplus() { _surplus++; } | |
139 void decrement_surplus() { _surplus--; } | |
140 | |
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141 ssize_t bfr_surp() const { return _bfr_surp; } |
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142 void set_bfr_surp(ssize_t v) { _bfr_surp = v; } |
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143 ssize_t prev_sweep() const { return _prev_sweep; } |
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144 void set_prev_sweep(ssize_t v) { _prev_sweep = v; } |
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145 ssize_t before_sweep() const { return _before_sweep; } |
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146 void set_before_sweep(ssize_t v) { _before_sweep = v; } |
0 | 147 |
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148 ssize_t coal_births() const { return _coal_births; } |
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149 void set_coal_births(ssize_t v) { _coal_births = v; } |
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150 void increment_coal_births() { _coal_births++; } |
0 | 151 |
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152 ssize_t coal_deaths() const { return _coal_deaths; } |
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153 void set_coal_deaths(ssize_t v) { _coal_deaths = v; } |
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154 void increment_coal_deaths() { _coal_deaths++; } |
0 | 155 |
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156 ssize_t split_births() const { return _split_births; } |
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157 void set_split_births(ssize_t v) { _split_births = v; } |
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158 void increment_split_births() { _split_births++; } |
0 | 159 |
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160 ssize_t split_deaths() const { return _split_deaths; } |
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161 void set_split_deaths(ssize_t v) { _split_deaths = v; } |
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162 void increment_split_deaths() { _split_deaths++; } |
0 | 163 |
164 NOT_PRODUCT( | |
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165 size_t returned_bytes() const { return _returned_bytes; } |
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166 void set_returned_bytes(size_t v) { _returned_bytes = v; } |
0 | 167 ) |
168 }; | |
1972 | 169 |
170 #endif // SHARE_VM_GC_IMPLEMENTATION_SHARED_ALLOCATIONSTATS_HPP |