204 lines
5.6 KiB
C++
204 lines
5.6 KiB
C++
/*
|
|
* Copyright (c) 2001-2005 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 Raasch
|
|
* Steve Reinhardt
|
|
*/
|
|
|
|
//==========================================================================
|
|
//
|
|
// This predictor takes the AND of a "local" and a "global" predictor
|
|
// in order to determine its prediction.
|
|
//
|
|
//
|
|
//
|
|
//
|
|
|
|
#ifndef __HYBRID_PRED_HH__
|
|
#define __HYBRID_PRED_HH__
|
|
|
|
#include <string>
|
|
|
|
#include "base/sat_counter.hh"
|
|
#include "base/statistics.hh"
|
|
|
|
class HybridPredictor : public GenericPredictor
|
|
{
|
|
private:
|
|
std::string pred_name;
|
|
std::string one_name;
|
|
std::string zero_name;
|
|
bool reg_individual_stats;
|
|
|
|
SaturatingCounterPred *local;
|
|
SaturatingCounterPred *global;
|
|
|
|
unsigned long max_index;
|
|
|
|
//
|
|
// Stats
|
|
//
|
|
Stats::Scalar pred_one; //num_one_preds
|
|
Stats::Scalar pred_zero; //num_zero_preds
|
|
Stats::Scalar correct_pred_one; //num_one_correct
|
|
Stats::Scalar correct_pred_zero; //num_zero_correct
|
|
Stats::Scalar record_one; //num_one_updates
|
|
Stats::Scalar record_zero; //num_zero_updates
|
|
|
|
Stats::Formula total_preds;
|
|
Stats::Formula frac_preds_zero;
|
|
Stats::Formula frac_preds_one;
|
|
Stats::Formula total_correct;
|
|
Stats::Formula total_accuracy;
|
|
Stats::Formula zero_accuracy;
|
|
Stats::Formula one_accuracy;
|
|
Stats::Formula zero_coverage;
|
|
Stats::Formula one_coverage;
|
|
|
|
public:
|
|
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 = false);
|
|
|
|
void clear() {
|
|
global->clear();
|
|
local->clear();
|
|
}
|
|
|
|
unsigned peek(unsigned long _index) {
|
|
unsigned l = local->peek(_index);
|
|
unsigned g = global->peek(_index);
|
|
|
|
if (l && g)
|
|
return 1;
|
|
|
|
return 0;
|
|
}
|
|
|
|
unsigned value(unsigned long _index) {
|
|
unsigned l = local->peek(_index);
|
|
unsigned g = global->peek(_index);
|
|
|
|
l = l & 0xFFFF;
|
|
g = g & 0xFFFF;
|
|
|
|
return (l << 16) | g;
|
|
|
|
}
|
|
|
|
unsigned predict(unsigned long _index) {
|
|
unsigned l = local->predict(_index);
|
|
unsigned g = global->predict(_index);
|
|
|
|
if (l && g) {
|
|
++pred_one;
|
|
return 1;
|
|
}
|
|
|
|
++pred_zero;
|
|
return 0;
|
|
}
|
|
|
|
|
|
//
|
|
// This version need only be used if local/global statistics
|
|
// will be maintained
|
|
//
|
|
unsigned predict(unsigned long _index, unsigned &_pdata) {
|
|
unsigned l = local->predict(_index);
|
|
unsigned g = global->predict(_index);
|
|
|
|
//
|
|
// bit 0 => local predictor result
|
|
// bit 1 => global predictor result
|
|
//
|
|
_pdata = 0;
|
|
if (l)
|
|
_pdata |= 1;
|
|
if (g)
|
|
_pdata |= 2;
|
|
if (l && g) {
|
|
++pred_one;
|
|
return 1;
|
|
}
|
|
|
|
++pred_zero;
|
|
return 0;
|
|
}
|
|
|
|
void record(unsigned long _index, unsigned _val, unsigned _predicted) {
|
|
|
|
if (_val) {
|
|
local->record(_index, _val, 0);
|
|
global->record(_index, _val, 0);
|
|
++record_one;
|
|
|
|
if (_val == _predicted) {
|
|
++correct_pred_one;
|
|
}
|
|
} else {
|
|
local->record(_index, _val, 0);
|
|
global->record(_index, _val, 0);
|
|
++record_zero;
|
|
|
|
if (_val == _predicted)
|
|
++correct_pred_zero;
|
|
}
|
|
}
|
|
|
|
void record(unsigned long _index, unsigned _val, unsigned _predicted,
|
|
unsigned _pdata)
|
|
{
|
|
|
|
local->record(_index, _val, (_pdata & 1));
|
|
global->record(_index, _val, ((_pdata & 2) ? 1 : 0));
|
|
|
|
|
|
if (_val) {
|
|
++record_one;
|
|
|
|
if (_val == _predicted)
|
|
++correct_pred_one;
|
|
} else {
|
|
++record_zero;
|
|
|
|
if (_val == _predicted)
|
|
++correct_pred_zero;
|
|
}
|
|
}
|
|
|
|
void regStats();
|
|
void regFormulas();
|
|
};
|
|
|
|
|
|
#endif // _HYBRID_PRED_HH__
|
|
|