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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 <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();
+ }
+
+}
+