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