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/*
* gpgpusim_entrypoint.c
*
* Copyright © 2009 by Tor M. Aamodt, Wilson W. L. Fung, Ali Bakhoda,
* George L. Yuan and the University of British Columbia, Vancouver,
* BC V6T 1Z4, All Rights Reserved.
*
* THIS IS A LEGAL DOCUMENT BY DOWNLOADING GPGPU-SIM, YOU ARE AGREEING TO THESE
* TERMS AND CONDITIONS.
*
* 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 OWNERS 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.
*
* NOTE: The files libcuda/cuda_runtime_api.c and src/cuda-sim/cuda-math.h
* are derived from the CUDA Toolset available from http://www.nvidia.com/cuda
* (property of NVIDIA). The files benchmarks/BlackScholes/ and
* benchmarks/template/ are derived from the CUDA SDK available from
* http://www.nvidia.com/cuda (also property of NVIDIA). The files from
* src/intersim/ are derived from Booksim (a simulator provided with the
* textbook "Principles and Practices of Interconnection Networks" available
* from http://cva.stanford.edu/books/ppin/). As such, those files are bound by
* the corresponding legal terms and conditions set forth separately (original
* copyright notices are left in files from these sources and where we have
* modified a file our copyright notice appears before the original copyright
* notice).
*
* Using this version of GPGPU-Sim requires a complete installation of CUDA
* which is distributed seperately by NVIDIA under separate terms and
* conditions. To use this version of GPGPU-Sim with OpenCL requires a
* recent version of NVIDIA's drivers which support OpenCL.
*
* 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 name of the University of British Columbia nor the names of
* its contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* 4. This version of GPGPU-SIM is distributed freely for non-commercial use only.
*
* 5. No nonprofit user may place any restrictions on the use of this software,
* including as modified by the user, by any other authorized user.
*
* 6. GPGPU-SIM was developed primarily by Tor M. Aamodt, Wilson W. L. Fung,
* Ali Bakhoda, George L. Yuan, at the University of British Columbia,
* Vancouver, BC V6T 1Z4
*/
#include "gpgpusim_entrypoint.h"
#include <stdio.h>
#include "option_parser.h"
#include "cuda-sim/cuda-sim.h"
#include "cuda-sim/ptx_ir.h"
#include "cuda-sim/ptx_parser.h"
#include "gpgpu-sim/gpu-sim.h"
#include "gpgpu-sim/icnt_wrapper.h"
#include <pthread.h>
#include <semaphore.h>
#define MAX(a,b) (((a)>(b))?(a):(b))
static int sg_argc = 3;
static const char *sg_argv[] = {"", "-config","gpgpusim.config"};
struct gpgpu_ptx_sim_arg *grid_params;
sem_t g_sim_signal_start;
sem_t g_sim_signal_finish;
time_t g_simulation_starttime;
pthread_t g_simulation_thread;
gpgpu_sim g_the_gpu;
static void print_simulation_time();
void *gpgpu_sim_thread(void*)
{
do {
sem_wait(&g_sim_signal_start);
unsigned grid;
class function_info *entry;
g_the_gpu.next_grid(grid,entry);
g_the_gpu.run_gpu_sim();
print_simulation_time();
sem_post(&g_sim_signal_finish);
} while(1);
return NULL;
}
gpgpu_sim *gpgpu_ptx_sim_init_perf()
{
print_splash();
read_sim_environment_variables();
read_parser_environment_variables();
option_parser_t opp = option_parser_create();
icnt_reg_options(opp);
g_the_gpu.reg_options(opp); // register GPU microrachitecture options
ptx_reg_options(opp);
option_parser_cmdline(opp, sg_argc, sg_argv); // parse configuration options
srand(1);
// Open instructions debug output file for writing
if(g_ptx_inst_debug_to_file != 0) {
ptx_inst_debug_file = fopen(g_ptx_inst_debug_file, "w");
}
fprintf(stdout, "GPGPU-Sim: Configuration options:\n\n");
option_parser_print(opp, stdout);
g_the_gpu.init_gpu();
g_simulation_starttime = time((time_t *)NULL);
sem_init(&g_sim_signal_start,0,0);
sem_init(&g_sim_signal_finish,0,0);
pthread_create(&g_simulation_thread,NULL,gpgpu_sim_thread,NULL);
return &g_the_gpu;
}
void print_simulation_time()
{
time_t current_time, difference, d, h, m, s;
current_time = time((time_t *)NULL);
difference = MAX(current_time - g_simulation_starttime, 1);
d = difference/(3600*24);
h = difference/3600 - 24*d;
m = difference/60 - 60*(h + 24*d);
s = difference - 60*(m + 60*(h + 24*d));
fflush(stderr);
printf("\n\ngpgpu_simulation_time = %u days, %u hrs, %u min, %u sec (%u sec)\n",
(unsigned)d, (unsigned)h, (unsigned)m, (unsigned)s, (unsigned)difference );
printf("gpgpu_simulation_rate = %u (inst/sec)\n", (unsigned)(gpu_tot_sim_insn / difference) );
printf("gpgpu_simulation_rate = %u (cycle/sec)\n", (unsigned)(gpu_tot_sim_cycle / difference) );
fflush(stdout);
}
int gpgpu_cuda_ptx_sim_main_perf( const char *kernel_key,
struct dim3 gridDim,
struct dim3 blockDim,
gpgpu_ptx_sim_arg_list_t grid_params )
{
kernel_info_t grid = gpgpu_cuda_ptx_sim_init_grid(kernel_key,grid_params,gridDim,blockDim);
g_the_gpu.launch(grid);
sem_post(&g_sim_signal_start);
sem_wait(&g_sim_signal_finish);
return 0;
}
int gpgpu_opencl_ptx_sim_main_perf( class function_info *entry,
struct dim3 gridDim,
struct dim3 blockDim,
gpgpu_ptx_sim_arg_list_t grid_params )
{
kernel_info_t grid = gpgpu_opencl_ptx_sim_init_grid(entry,grid_params,gridDim,blockDim);
g_the_gpu.launch(grid);
sem_post(&g_sim_signal_start);
sem_wait(&g_sim_signal_finish);
return 0;
}
int gpgpu_opencl_ptx_sim_main_func( class function_info *entry,
struct dim3 gridDim,
struct dim3 blockDim,
gpgpu_ptx_sim_arg_list_t grid_params )
{
printf("GPGPU-Sim PTX API: OpenCL functional-only simulation not yet implemented (use performance simulation)\n");
exit(1);
}
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