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Diffstat (limited to 'src/base/hybrid_pred.cc')
| -rw-r--r-- | src/base/hybrid_pred.cc | 276 |
1 files changed, 0 insertions, 276 deletions
diff --git a/src/base/hybrid_pred.cc b/src/base/hybrid_pred.cc deleted file mode 100644 index 73216489e..000000000 --- a/src/base/hybrid_pred.cc +++ /dev/null @@ -1,276 +0,0 @@ -/* - * Copyright (c) 2003-2005 The Regents of The University of Michigan - * All rights reserved. - * - * Redistribution and use in source and binary forms, with or without - * modification, are permitted provided that the following conditions are - * met: redistributions of source code must retain the above copyright - * notice, this list of conditions and the following disclaimer; - * redistributions in binary form must reproduce the above copyright - * notice, this list of conditions and the following disclaimer in the - * documentation and/or other materials provided with the distribution; - * neither the name of the copyright holders nor the names of its - * contributors may be used to endorse or promote products derived from - * this software without specific prior written permission. - * - * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS - * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT - * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR - * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT - * OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, - * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT - * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, - * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY - * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT - * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE - * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - * - * Authors: Steve Reinhardt - * Lisa Hsu - */ - -#include <string> -#include <sstream> - -#include "base/hybrid_pred.hh" -#include "base/statistics.hh" -#include "sim/stats.hh" - -using namespace std; - -HybridPredictor::HybridPredictor(const char *_p_name, const char *_z_name, - const char *_o_name, - unsigned _index_bits, unsigned _counter_bits, - unsigned _zero_change, unsigned _one_change, - unsigned _thresh, - unsigned _global_bits, - unsigned _global_thresh, - bool _reg_individual_stats) -{ - stringstream local_name, global_name; - - pred_name = _p_name; - one_name = _o_name; - zero_name = _z_name; - reg_individual_stats = _reg_individual_stats; - - local_name << pred_name.c_str() << ":L"; - local = new SaturatingCounterPred(local_name.str(), zero_name, one_name, - _index_bits, _counter_bits, - _zero_change, _one_change, _thresh); - - global_name << pred_name.c_str() << ":G"; - global = new SaturatingCounterPred(global_name.str(), zero_name, one_name, - 0, _global_bits, 1, 1, _global_thresh); -} - -void HybridPredictor::regStats() -{ - using namespace Stats; - - string p_name; - stringstream description; - - if (reg_individual_stats) - p_name = pred_name + ":A"; - else - p_name = pred_name; - - - // - // Number of predictions - // - stringstream num_zero_preds; - num_zero_preds << p_name << ":" << zero_name << ":preds"; - description << "number of predictions of " << zero_name; - pred_zero - .name(num_zero_preds.str()) - .desc(description.str()); - description.str(""); - - stringstream num_one_preds; - num_one_preds << p_name << ":" << one_name << ":preds"; - description << "number of predictions of " << one_name; - pred_one - .name(num_one_preds.str()) - .desc(description.str()) - ; - description.str(""); - - // - // Count the number of correct predictions - // - stringstream num_zero_correct; - num_zero_correct << p_name << ":" << zero_name << ":corr_preds"; - description << "number of correct " << zero_name << " preds" ; - correct_pred_zero - .name(num_zero_correct.str()) - .desc(description.str()) - ; - description.str(""); - - stringstream num_one_correct; - num_one_correct << p_name << ":" << one_name << ":corr_preds"; - description << "number of correct " << one_name << " preds" ; - correct_pred_one - .name(num_one_correct.str()) - .desc(description.str()) - ; - description.str(""); - - - // - // Number of predictor updates - // - stringstream num_zero_updates; - num_zero_updates << p_name << ":" << zero_name << ":updates" ; - description << "number of actual " << zero_name << "s" ; - record_zero - .name(num_zero_updates.str()) - .desc(description.str()) - ; - description.str(""); - - stringstream num_one_updates; - num_one_updates << p_name << ":" << one_name << ":updates" ; - description << "number of actual " << one_name << "s" ; - record_one - .name(num_one_updates.str()) - .desc(description.str()) - ; - description.str(""); - - // - // Local & Global predictor stats - // - if (reg_individual_stats) { - local->regStats(); - global->regStats(); - } -} - -void HybridPredictor::regFormulas() -{ - using namespace Stats; - - string p_name; - stringstream description; - stringstream name; - - if (reg_individual_stats) - p_name = pred_name + ":A"; - else - p_name = pred_name; - - // - // Number of predictions - // - name << p_name << ":predictions" ; - total_preds - .name(name.str()) - .desc("total number of predictions made") - ; - total_preds = pred_one + pred_zero; - name.str(""); - - // - // Fraction of all predictions that are one or zero - // - name << p_name << ":" << zero_name << ":pred_frac"; - description << "fraction of all preds that were " << zero_name ; - frac_preds_zero - .name(name.str()) - .desc(description.str()) - ; - frac_preds_zero = 100 * record_zero / total_preds; - description.str(""); - name.str(""); - - name << p_name << ":" << one_name << ":pred_frac"; - description << "fraction of all preds that were " << one_name ; - frac_preds_one - .name(name.str()) - .desc(description.str()) - ; - frac_preds_one = 100 * record_one / total_preds; - description.str(""); - name.str(""); - - // - // Count the number of correct predictions - // - name << p_name << ":correct_preds" ; - total_correct - .name(name.str()) - .desc("total number of correct predictions made") - ; - total_correct = correct_pred_one + correct_pred_zero; - name.str(""); - - - // - // Prediction accuracy rates - // - name << p_name << ":pred_rate"; - total_accuracy - .name(name.str()) - .desc("fraction of all preds that were correct") - ; - total_accuracy = 100 * total_correct / total_preds; - name.str(""); - - name << p_name << ":" << zero_name << ":pred_rate" ; - description << "fraction of "<< zero_name <<" preds that were correct"; - zero_accuracy - .name(name.str()) - .desc(description.str()) - ; - zero_accuracy = 100 * correct_pred_zero / pred_zero; - description.str(""); - name.str(""); - - name << p_name << ":" << one_name << ":pred_rate" ; - description << "fraction of "<< one_name <<" preds that were correct"; - one_accuracy - .name(name.str()) - .desc(description.str()) - ; - one_accuracy = 100 * correct_pred_one / pred_one; - description.str(""); - name.str(""); - - // - // Coverage - // - name << p_name << ":" << zero_name << ":coverage"; - description << "fraction of " << zero_name - << "s that were predicted correctly"; - zero_coverage - .name(name.str()) - .desc(description.str()) - ; - zero_coverage = 100 * correct_pred_zero / record_zero; - description.str(""); - name.str(""); - - name << p_name << ":" << one_name << ":coverage"; - description << "fraction of " << one_name - << "s that were predicted correctly"; - one_coverage - .name(name.str()) - .desc(description.str()) - ; - one_coverage = 100 * correct_pred_one / record_one; - description.str(""); - name.str(""); - - // - // Local & Global predictor stats - // - if (reg_individual_stats) { - local->regFormulas(); - global->regFormulas(); - } - -} - |