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//developed by Mahmoud Khairy, Purdue Univ
//[email protected]
#include <time.h>
#include <stdio.h>
#include <vector>
#include <iostream>
#include <fstream>
#include <string>
#include <sstream>
#include <math.h>
#include "../abstract_hardware_model.h"
#include "../option_parser.h"
#include "../cuda-sim/cuda-sim.h"
#include "../gpgpu-sim/gpu-sim.h"
#include "../../libcuda/gpgpu_context.h"
#include "trace_driven.h"
#include "trace_opcode.h"
#include "../gpgpusim_entrypoint.h"
/* TO DO:
* NOTE: the current version of trace-driven is functionally working fine,
* but we still need to improve traces compression and simulation speed.
* This includes:
* 1- Prefetch concurrent thread that prefetches traces from disk (to not be limited by disk speed)
* 2- traces compression format
* a. cfg format and remove thread/block Id from the head
* b. using zlib library to save in binary format
*
* 3- Efficient memory improvement (save string not objects - parse only 10 in the buffer)
* 4- Seeking capability - thread scheduler (save tb index and warp index info in the traces header)
* 5- Get rid off traces intermediate files - change the tracer
*/
int main ( int argc, const char **argv )
{
gpgpu_context* m_gpgpu_context = new gpgpu_context();
gpgpu_sim * m_gpgpu_sim = m_gpgpu_context->gpgpu_trace_sim_init_perf(argc,argv);
m_gpgpu_sim->init();
//for each kernel
//load file
//parse and create kernel info
//launch
//while loop till the end of the end kernel execution
//prints stats
trace_parser tracer(m_gpgpu_sim->get_config().get_traces_filename(), m_gpgpu_sim, m_gpgpu_context);
std::vector<std::string> commandlist = tracer.parse_kernellist_file();
for(unsigned i=0; i<commandlist.size(); ++i) {
trace_kernel_info_t* kernel_info = NULL;
std::cout<<i<< " "<<commandlist[i]<<std::endl;
if(commandlist[i].substr(0,6) == "Memcpy") {
size_t addre, Bcount;
tracer.parse_memcpy_info(commandlist[i], addre, Bcount);
std::cout<<commandlist[i]<<std::endl;
m_gpgpu_sim->perf_memcpy_to_gpu(addre, Bcount);
continue;
}
else {
kernel_info = tracer.parse_kernel_info(commandlist[i]);
m_gpgpu_sim->launch(kernel_info);
}
bool active = false;
bool sim_cycles = false;
bool break_limit = false;
do {
if(!m_gpgpu_sim->active())
break;
//performance simulation
if( m_gpgpu_sim->active() ) {
m_gpgpu_sim->cycle();
sim_cycles = true;
m_gpgpu_sim->deadlock_check();
}else {
if(m_gpgpu_sim->cycle_insn_cta_max_hit()){
m_gpgpu_context->the_gpgpusim->g_stream_manager->stop_all_running_kernels();
break_limit = true;
}
}
active=m_gpgpu_sim->active() ;
} while( active );
if(kernel_info) {
tracer.kernel_finalizer(kernel_info);
m_gpgpu_sim->print_stats();
}
if(sim_cycles) {
m_gpgpu_sim->update_stats();
m_gpgpu_context->print_simulation_time();
}
if(break_limit) {
printf("GPGPU-Sim: ** break due to reaching the maximum cycles (or instructions) **\n");
fflush(stdout);
exit(1);
}
}
//we print this message to inform the gpgpu-simulation stats_collect script that we are done
printf("GPGPU-Sim: *** simulation thread exiting ***\n");
printf("GPGPU-Sim: *** exit detected ***\n");
return 1;
}
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