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/*
* 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 <sstream>
#include "base/sat_counter.hh"
#include "base/statistics.hh"
#include "sim/stats.hh"
using namespace std;
SaturatingCounterPred::SaturatingCounterPred(string p_name,
string z_name,
string o_name,
unsigned _index_bits,
unsigned _counter_bits,
unsigned _zero_change,
unsigned _one_change,
unsigned _thresh,
unsigned _init_value)
{
pred_name = p_name;
zero_name = z_name;
one_name = o_name;
index_bits = _index_bits;
counter_bits = _counter_bits;
zero_change = _zero_change;
one_change = _one_change;
thresh = _thresh;
init_value = _init_value;
max_index = (1 << index_bits) - 1;
max_value = (1 << counter_bits) - 1;
table = new unsigned[max_index + 1];
// Initialize with the right parameters & clear the counter
for (int i = 0; i <= max_index; ++i)
table[i] = init_value;
}
void SaturatingCounterPred::regStats()
{
using namespace Stats;
stringstream name, description;
//
// Number of predictions
//
name << pred_name << ":" << zero_name << ":preds";
description << "number of predictions of " << zero_name;
predicted_zero
.name(name.str())
.desc(description.str())
;
description.str("");
name.str("");
name << pred_name << ":" << one_name << ":preds";
description << "number of predictions of " << one_name;
predicted_one
.name(name.str())
.desc(description.str())
;
description.str("");
name.str("");
//
// Count the number of correct predictions
//
name << pred_name << ":" << zero_name << ":corr_preds";
description << "number of correct " << zero_name << " preds";
correct_pred_zero
.name(name.str())
.desc(description.str())
;
description.str("");
name.str("");
name << pred_name << ":" << one_name << ":corr_preds";
description << "number of correct " << one_name << " preds";
correct_pred_one
.name(name.str())
.desc(description.str())
;
description.str("");
name.str("");
//
// Number of predictor updates
//
name << pred_name << ":" << zero_name << ":updates";
description << "number of actual " << zero_name << "s";
record_zero
.name(name.str())
.desc(description.str())
;
description.str("");
name.str("");
name << pred_name << ":" << one_name << ":updates";
description << "number of actual " << one_name << "s";
record_one
.name(name.str())
.desc(description.str())
;
description.str("");
name.str("");
}
void SaturatingCounterPred::regFormulas()
{
using namespace Stats;
stringstream name, description;
//
// Number of predictions
//
name << pred_name << ":predictions";
preds_total
.name(name.str())
.desc("total number of predictions made")
;
preds_total = predicted_zero + predicted_one;
name.str("");
//
// Fraction of all predictions that are one or zero
//
name << pred_name << ":" << zero_name << ":pred_frac";
description << "fraction of all preds that were " << zero_name;
pred_frac_zero
.name(name.str())
.desc(description.str())
;
pred_frac_zero = 100 * predicted_zero / preds_total;
description.str("");
name.str("");
name << pred_name << ":" << one_name << ":pred_frac";
description << "fraction of all preds that were " << one_name;
pred_frac_one
.name(name.str())
.desc(description.str())
;
pred_frac_one = 100 * predicted_one / preds_total;
description.str("");
name.str("");
//
// Count the number of correct predictions
//
name << pred_name << ":correct_preds";
correct_total
.name(name.str())
.desc("total correct predictions made")
;
correct_total = correct_pred_one + correct_pred_zero;
name.str("");
//
// Number of predictor updates
//
name << pred_name << ":updates";
updates_total
.name(name.str())
.desc("total number of updates")
;
updates_total = record_zero + record_one;
name.str("");
//
// Prediction accuracy rates
//
name << pred_name << ":pred_rate";
pred_rate
.name(name.str())
.desc("correct fraction of all preds")
;
pred_rate = correct_total / updates_total;
name.str("");
name << pred_name << ":" << zero_name << ":pred_rate";
description << "fraction of " << zero_name << " preds that were correct";
frac_correct_zero
.name(name.str())
.desc(description.str())
;
frac_correct_zero = 100 * correct_pred_zero /
(correct_pred_zero + record_one - correct_pred_one);
description.str("");
name.str("");
name << pred_name << ":" << one_name << ":pred_rate";
description << "fraction of " << one_name << " preds that were correct";
frac_correct_one
.name(name.str())
.desc(description.str())
;
frac_correct_one = 100 * correct_pred_one /
(correct_pred_one + record_zero - correct_pred_zero);
description.str("");
name.str("");
//
// Coverage
//
name << pred_name << ":" << zero_name << ":coverage";
description << "fraction of " << zero_name
<< "s that were predicted correctly";
coverage_zero
.name(name.str())
.desc(description.str())
;
coverage_zero = 100 * correct_pred_zero / record_zero;
description.str("");
name.str("");
name << pred_name << ":" << one_name << ":coverage";
description << "fraction of " << one_name
<< "s that were predicted correctly";
coverage_one
.name(name.str())
.desc(description.str())
;
coverage_one = 100 * correct_pred_one / record_one;
description.str("");
name.str("");
}