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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 <stdio.h>
#include <time.h>
#include "option_parser.h"
//#include "gpgpu-sim/gpu-sim.h"
#define MAX(a,b) (((a)>(b))?(a):(b))
struct dim3 {
unsigned int x, y, z;
};
struct gpgpu_ptx_sim_arg *grid_params;
int g_grid_num=0;
int g_argc = 3;
const char *g_argv[] = {"", "-config","gpgpusim.config"};
unsigned int run_gpu_sim(int grid_num);
void gpgpu_ptx_sim_init_grid(const char *kernel_key,struct gpgpu_ptx_sim_arg *args, struct dim3 gridDim, struct dim3 blockDim );
int g_network_mode = 0;
char* g_network_config_filename;
option_parser_t opp;
extern void read_environment_variables();
extern void print_splash();
extern void gpu_reg_options(option_parser_t opp);
extern void init_gpu();
time_t simulation_starttime;
void gpgpu_ptx_sim_init_perf()
{
print_splash();
read_environment_variables();
opp = option_parser_create();
option_parser_register(opp, "-network_mode", OPT_INT32, &g_network_mode, "Interconnection network mode", "1");
option_parser_register(opp, "-inter_config_file", OPT_CSTR, &g_network_config_filename, "Interconnection network config file", "mesh");
gpu_reg_options(opp); // register GPU microrachitecture options
option_parser_cmdline(opp, g_argc, g_argv); // parse configuration options
srand(1);
fprintf(stdout, "GPGPU-Sim: Configuration options:\n\n");
option_parser_print(opp, stdout);
init_gpu(); // initialize the GPU microarchitecture model
fprintf(stdout, "GPU performance model initialization complete.\n");
simulation_starttime = time((time_t *)NULL);
}
extern unsigned long long gpu_tot_sim_insn;
extern unsigned long long gpu_tot_sim_cycle;
int gpgpu_ptx_sim_main_perf( const char *kernel_key, struct dim3 gridDim, struct dim3 blockDim, struct gpgpu_ptx_sim_arg *grid_params )
{
time_t current_time, difference, d, h, m, s;
gpgpu_ptx_sim_init_grid(kernel_key,grid_params,gridDim,blockDim);
run_gpu_sim(g_grid_num); // run a CUDA grid on the GPU microarchitecture simulator
g_grid_num++;
current_time = time((time_t *)NULL);
difference = MAX(current_time - 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);
return 0;
}
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