| /* |
| * Copyright (c) 2001, 2015, 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. |
| * |
| */ |
| |
| #include "precompiled.hpp" |
| #include "gc/g1/g1CollectedHeap.inline.hpp" |
| #include "gc/g1/g1Predictions.hpp" |
| #include "gc/g1/heapRegion.hpp" |
| #include "gc/g1/survRateGroup.hpp" |
| #include "logging/log.hpp" |
| #include "memory/allocation.hpp" |
| |
| SurvRateGroup::SurvRateGroup() : |
| _stats_arrays_length(0), |
| _accum_surv_rate_pred(NULL), |
| _last_pred(0.0), |
| _surv_rate_pred(NULL), |
| _all_regions_allocated(0), |
| _region_num(0), |
| _setup_seq_num(0) |
| { |
| reset(); |
| start_adding_regions(); |
| } |
| |
| void SurvRateGroup::reset() { |
| _all_regions_allocated = 0; |
| _setup_seq_num = 0; |
| _last_pred = 0.0; |
| // the following will set up the arrays with length 1 |
| _region_num = 1; |
| |
| // The call to stop_adding_regions() will use "new" to refill |
| // the _surv_rate_pred array, so we need to make sure to call |
| // "delete". |
| for (size_t i = 0; i < _stats_arrays_length; ++i) { |
| delete _surv_rate_pred[i]; |
| } |
| _stats_arrays_length = 0; |
| |
| stop_adding_regions(); |
| |
| // Seed initial _surv_rate_pred and _accum_surv_rate_pred values |
| guarantee( _stats_arrays_length == 1, "invariant" ); |
| guarantee( _surv_rate_pred[0] != NULL, "invariant" ); |
| const double initial_surv_rate = 0.4; |
| _surv_rate_pred[0]->add(initial_surv_rate); |
| _last_pred = _accum_surv_rate_pred[0] = initial_surv_rate; |
| |
| _region_num = 0; |
| } |
| |
| void SurvRateGroup::start_adding_regions() { |
| _setup_seq_num = _stats_arrays_length; |
| _region_num = 0; |
| } |
| |
| void SurvRateGroup::stop_adding_regions() { |
| if (_region_num > _stats_arrays_length) { |
| _accum_surv_rate_pred = REALLOC_C_HEAP_ARRAY(double, _accum_surv_rate_pred, _region_num, mtGC); |
| _surv_rate_pred = REALLOC_C_HEAP_ARRAY(TruncatedSeq*, _surv_rate_pred, _region_num, mtGC); |
| |
| for (size_t i = _stats_arrays_length; i < _region_num; ++i) { |
| _surv_rate_pred[i] = new TruncatedSeq(10); |
| } |
| |
| _stats_arrays_length = _region_num; |
| } |
| } |
| |
| void SurvRateGroup::record_surviving_words(int age_in_group, size_t surv_words) { |
| guarantee( 0 <= age_in_group && (size_t) age_in_group < _region_num, |
| "pre-condition" ); |
| |
| double surv_rate = (double) surv_words / (double) HeapRegion::GrainWords; |
| _surv_rate_pred[age_in_group]->add(surv_rate); |
| } |
| |
| void SurvRateGroup::all_surviving_words_recorded(const G1Predictions& predictor, bool update_predictors) { |
| if (update_predictors) { |
| fill_in_last_surv_rates(); |
| } |
| finalize_predictions(predictor); |
| } |
| |
| void SurvRateGroup::fill_in_last_surv_rates() { |
| if (_region_num > 0) { // conservative |
| double surv_rate = _surv_rate_pred[_region_num-1]->last(); |
| for (size_t i = _region_num; i < _stats_arrays_length; ++i) { |
| _surv_rate_pred[i]->add(surv_rate); |
| } |
| } |
| } |
| |
| void SurvRateGroup::finalize_predictions(const G1Predictions& predictor) { |
| double accum = 0.0; |
| double pred = 0.0; |
| for (size_t i = 0; i < _stats_arrays_length; ++i) { |
| pred = predictor.get_new_prediction(_surv_rate_pred[i]); |
| if (pred > 1.0) pred = 1.0; |
| accum += pred; |
| _accum_surv_rate_pred[i] = accum; |
| } |
| _last_pred = pred; |
| } |