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// Copyright (c) 2009-2021, Tor M. Aamodt, Tayler Hetherington, Ahmed ElTantawy, Vijay Kandiah, Nikos Hardavellas
// The University of British Columbia, Northwestern University
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
//
// 1. Redistributions of source code must retain the above copyright notice, this
// list of conditions and the following disclaimer;
// 2. 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;
// 3. Neither the names of The University of British Columbia, Northwestern
// University nor the names of their 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 HOLDER 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.
#ifndef GPGPU_SIM_WRAPPER_H_
#define GPGPU_SIM_WRAPPER_H_
#include <assert.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <zlib.h>
#include <fstream>
#include <iostream>
#include <string>
#include "processor.h"
using namespace std;
template <typename T>
struct avg_max_min_counters {
T avg;
T max;
T min;
avg_max_min_counters() {
avg = 0;
max = 0;
min = 0;
}
};
#ifndef COEFF_STRUCT
#define COEFF_STRUCT
struct PowerscalingCoefficients{
double int_coeff;
double int_mul_coeff;
double int_mul24_coeff;
double int_mul32_coeff;
double int_div_coeff;
double fp_coeff;
double dp_coeff;
double fp_mul_coeff;
double fp_div_coeff;
double dp_mul_coeff;
double dp_div_coeff;
double sqrt_coeff;
double log_coeff;
double sin_coeff;
double exp_coeff;
double tensor_coeff;
double tex_coeff;
};
#endif
class gpgpu_sim_wrapper {
public:
gpgpu_sim_wrapper(bool power_simulation_enabled, char* xmlfile, int power_simulation_mode, bool dvfs_enabled);
~gpgpu_sim_wrapper();
void init_mcpat(char* xmlfile, char* powerfile, char* power_trace_file,
char* metric_trace_file, char* steady_state_file,
bool power_sim_enabled, bool trace_enabled,
bool steady_state_enabled, bool power_per_cycle_dump,
double steady_power_deviation, double steady_min_period,
int zlevel, double init_val, int stat_sample_freq, int power_sim_mode,
bool dvfs_enabled, unsigned clock_freq, unsigned num_shaders);
void init_mcpat_hw_mode(unsigned gpu_sim_cycle);
void detect_print_steady_state(int position, double init_val);
void close_files();
void open_files();
void compute();
void dump();
void print_trace_files();
void update_components_power();
double calculate_static_power();
void update_coefficients();
void reset_counters();
void print_power_kernel_stats(double gpu_sim_cycle, double gpu_tot_sim_cycle,
double init_value,
const std::string& kernel_info_string,
bool print_trace);
void power_metrics_calculations();
void set_model_voltage(double model_voltage);
void set_inst_power(bool clk_gated_lanes, double tot_cycles,
double busy_cycles, double tot_inst, double int_inst,
double fp_inst, double load_inst, double store_inst,
double committed_inst);
void set_regfile_power(double reads, double writes, double ops);
void set_icache_power(double accesses, double misses);
void set_ccache_power(double accesses, double misses);
void set_tcache_power(double accesses, double misses);
void set_shrd_mem_power(double accesses);
void set_l1cache_power(double read_accesses, double read_misses,
double write_accesses, double write_misses);
void set_l2cache_power(double read_accesses, double read_misses,
double write_accesses, double write_misses);
void set_num_cores(double num_core);
void set_idle_core_power(double num_idle_core);
void set_duty_cycle_power(double duty_cycle);
void set_mem_ctrl_power(double reads, double writes, double dram_precharge);
void set_exec_unit_power(double fpu_accesses, double ialu_accesses,
double sfu_accesses);
void set_int_accesses(double ialu_accesses, double imul24_accesses,
double imul32_accesses, double imul_accesses,
double idiv_accesses);
void set_dp_accesses(double dpu_accesses, double dpmul_accesses,
double dpdiv_accesses);
void set_fp_accesses(double fpu_accesses, double fpmul_accesses,
double fpdiv_accesses);
void set_trans_accesses(double sqrt_accesses, double log_accesses,
double sin_accesses, double exp_accesses);
void set_tensor_accesses(double tensor_accesses);
void set_tex_accesses(double tex_accesses);
void set_avg_active_threads(float active_threads);
void set_active_lanes_power(double sp_avg_active_lane,
double sfu_avg_active_lane);
void set_NoC_power(double noc_tot_acc);
bool sanity_check(double a, double b);
PowerscalingCoefficients * get_scaling_coeffs();
private:
void print_steady_state(int position, double init_val);
Processor* proc;
ParseXML* p;
// power parameters
double const_dynamic_power;
double avg_threads_per_warp_tot;
double proc_power;
double num_cores;
double num_idle_cores;
unsigned num_perf_counters; // # of performance counters
unsigned num_pwr_cmps; // # of components modelled
int kernel_sample_count; // # of samples per kernel
int total_sample_count; // # of samples per benchmark
std::vector<avg_max_min_counters<double> >
kernel_cmp_pwr; // Per-kernel component power avg/max/min values
std::vector<avg_max_min_counters<double> >
kernel_cmp_perf_counters; // Per-kernel component avg/max/min performance
// counters
double kernel_tot_power; // Total per-kernel power
avg_max_min_counters<double>
kernel_power; // Per-kernel power avg/max/min values
avg_max_min_counters<double>
gpu_tot_power; // Global GPU power avg/max/min values (across kernels)
bool has_written_avg;
std::vector<double> sample_cmp_pwr; // Current sample component powers
std::vector<double>
sample_perf_counters; // Current sample component perf. counts
std::vector<double> initpower_coeff;
std::vector<double> effpower_coeff;
// For calculating steady-state average
unsigned sample_start;
double sample_val;
double init_inst_val;
double tot_sfu_accesses;
double tot_fpu_accesses;
double modeled_chip_voltage;
unsigned avg_threads_per_warp;
std::vector<double> samples;
std::vector<double> samples_counter;
std::vector<double> pwr_counter;
char* xml_filename;
char* g_power_filename;
char* g_power_trace_filename;
char* g_metric_trace_filename;
char* g_steady_state_tracking_filename;
bool g_power_simulation_enabled;
int g_power_simulation_mode;
bool g_dvfs_enabled;
bool g_steady_power_levels_enabled;
bool g_power_trace_enabled;
bool g_power_per_cycle_dump;
double gpu_steady_power_deviation;
double gpu_steady_min_period;
int g_power_trace_zlevel;
double gpu_stat_sample_frequency;
int gpu_stat_sample_freq;
std::ofstream powerfile;
gzFile power_trace_file;
gzFile metric_trace_file;
gzFile steady_state_tacking_file;
};
#endif /* GPGPU_SIM_WRAPPER_H_ */
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