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/*
* Copyright (c) 2003 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.
*/
#include <string>
#include <sstream>
#include "hybrid_pred.hh"
#include "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 Statistics;
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 Statistics;
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();
}
}
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