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// Copyright (c) 2009-2011, Tor M. Aamodt, Wilson W.L. Fung, Ivan Sham,
// Andrew Turner, Ali Bakhoda, The University of British Columbia
// 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 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.
//
// 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.
#include "gpgpusim_entrypoint.h"
#include <stdio.h>
#include "../libcuda/gpgpu_context.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 "option_parser.h"
#include "stream_manager.h"
#define MAX(a, b) (((a) > (b)) ? (a) : (b))
static int sg_argc = 3;
static const char *sg_argv[] = {"", "-config", "gpgpusim.config"};
void *gpgpu_sim_thread_sequential(void *ctx_ptr) {
gpgpu_context *ctx = (gpgpu_context *)ctx_ptr;
// at most one kernel running at a time
bool done;
do {
sem_wait(&(ctx->the_gpgpusim->g_sim_signal_start));
done = true;
if (ctx->the_gpgpusim->g_the_gpu->get_more_cta_left()) {
done = false;
ctx->the_gpgpusim->g_the_gpu->init();
while (ctx->the_gpgpusim->g_the_gpu->active()) {
ctx->the_gpgpusim->g_the_gpu->cycle();
ctx->the_gpgpusim->g_the_gpu->deadlock_check();
}
ctx->the_gpgpusim->g_the_gpu->print_stats();
ctx->the_gpgpusim->g_the_gpu->update_stats();
ctx->print_simulation_time();
}
sem_post(&(ctx->the_gpgpusim->g_sim_signal_finish));
} while (!done);
sem_post(&(ctx->the_gpgpusim->g_sim_signal_exit));
return NULL;
}
static void termination_callback() {
printf("GPGPU-Sim: *** exit detected ***\n");
fflush(stdout);
}
void *gpgpu_sim_thread_concurrent(void *ctx_ptr) {
gpgpu_context *ctx = (gpgpu_context *)ctx_ptr;
atexit(termination_callback);
// concurrent kernel execution simulation thread
do {
if (g_debug_execution >= 3) {
printf(
"GPGPU-Sim: *** simulation thread starting and spinning waiting for "
"work ***\n");
fflush(stdout);
}
while (ctx->the_gpgpusim->g_stream_manager->empty_protected() &&
!ctx->the_gpgpusim->g_sim_done)
;
if (g_debug_execution >= 3) {
printf("GPGPU-Sim: ** START simulation thread (detected work) **\n");
ctx->the_gpgpusim->g_stream_manager->print(stdout);
fflush(stdout);
}
pthread_mutex_lock(&(ctx->the_gpgpusim->g_sim_lock));
ctx->the_gpgpusim->g_sim_active = true;
pthread_mutex_unlock(&(ctx->the_gpgpusim->g_sim_lock));
bool active = false;
bool sim_cycles = false;
ctx->the_gpgpusim->g_the_gpu->init();
do {
// check if a kernel has completed
// launch operation on device if one is pending and can be run
// Need to break this loop when a kernel completes. This was a
// source of non-deterministic behaviour in GPGPU-Sim (bug 147).
// If another stream operation is available, g_the_gpu remains active,
// causing this loop to not break. If the next operation happens to be
// another kernel, the gpu is not re-initialized and the inter-kernel
// behaviour may be incorrect. Check that a kernel has finished and
// no other kernel is currently running.
if (ctx->the_gpgpusim->g_stream_manager->operation(&sim_cycles) &&
!ctx->the_gpgpusim->g_the_gpu->active())
break;
// functional simulation
if (ctx->the_gpgpusim->g_the_gpu->is_functional_sim()) {
kernel_info_t *kernel =
ctx->the_gpgpusim->g_the_gpu->get_functional_kernel();
assert(kernel);
ctx->the_gpgpusim->gpgpu_ctx->func_sim->gpgpu_cuda_ptx_sim_main_func(
*kernel);
ctx->the_gpgpusim->g_the_gpu->finish_functional_sim(kernel);
}
// performance simulation
if (ctx->the_gpgpusim->g_the_gpu->active()) {
ctx->the_gpgpusim->g_the_gpu->cycle();
sim_cycles = true;
ctx->the_gpgpusim->g_the_gpu->deadlock_check();
} else {
if (ctx->the_gpgpusim->g_the_gpu->cycle_insn_cta_max_hit()) {
ctx->the_gpgpusim->g_stream_manager->stop_all_running_kernels();
ctx->the_gpgpusim->g_sim_done = true;
ctx->the_gpgpusim->break_limit = true;
}
}
active = ctx->the_gpgpusim->g_the_gpu->active() ||
!(ctx->the_gpgpusim->g_stream_manager->empty_protected());
} while (active && !ctx->the_gpgpusim->g_sim_done);
if (g_debug_execution >= 3) {
printf("GPGPU-Sim: ** STOP simulation thread (no work) **\n");
fflush(stdout);
}
if (sim_cycles) {
ctx->the_gpgpusim->g_the_gpu->print_stats();
ctx->the_gpgpusim->g_the_gpu->update_stats();
ctx->print_simulation_time();
}
pthread_mutex_lock(&(ctx->the_gpgpusim->g_sim_lock));
ctx->the_gpgpusim->g_sim_active = false;
pthread_mutex_unlock(&(ctx->the_gpgpusim->g_sim_lock));
} while (!ctx->the_gpgpusim->g_sim_done);
printf("GPGPU-Sim: *** simulation thread exiting ***\n");
fflush(stdout);
if (ctx->the_gpgpusim->break_limit) {
printf(
"GPGPU-Sim: ** break due to reaching the maximum cycles (or "
"instructions) **\n");
exit(1);
}
sem_post(&(ctx->the_gpgpusim->g_sim_signal_exit));
return NULL;
}
void gpgpu_context::synchronize() {
printf("GPGPU-Sim: synchronize waiting for inactive GPU simulation\n");
the_gpgpusim->g_stream_manager->print(stdout);
fflush(stdout);
// sem_wait(&g_sim_signal_finish);
bool done = false;
do {
pthread_mutex_lock(&(the_gpgpusim->g_sim_lock));
done = (the_gpgpusim->g_stream_manager->empty() &&
!the_gpgpusim->g_sim_active) ||
the_gpgpusim->g_sim_done;
pthread_mutex_unlock(&(the_gpgpusim->g_sim_lock));
} while (!done);
printf("GPGPU-Sim: detected inactive GPU simulation thread\n");
fflush(stdout);
// sem_post(&g_sim_signal_start);
}
void gpgpu_context::exit_simulation() {
the_gpgpusim->g_sim_done = true;
printf("GPGPU-Sim: exit_simulation called\n");
fflush(stdout);
sem_wait(&(the_gpgpusim->g_sim_signal_exit));
printf("GPGPU-Sim: simulation thread signaled exit\n");
fflush(stdout);
}
gpgpu_sim *gpgpu_context::gpgpu_ptx_sim_init_perf() {
srand(1);
print_splash();
func_sim->read_sim_environment_variables();
ptx_parser->read_parser_environment_variables();
option_parser_t opp = option_parser_create();
ptx_reg_options(opp);
func_sim->ptx_opcocde_latency_options(opp);
icnt_reg_options(opp);
the_gpgpusim->g_the_gpu_config = new gpgpu_sim_config(this);
the_gpgpusim->g_the_gpu_config->reg_options(
opp); // register GPU microrachitecture options
option_parser_cmdline(opp, sg_argc, sg_argv); // parse configuration options
fprintf(stdout, "GPGPU-Sim: Configuration options:\n\n");
option_parser_print(opp, stdout);
// Set the Numeric locale to a standard locale where a decimal point is a
// "dot" not a "comma" so it does the parsing correctly independent of the
// system environment variables
assert(setlocale(LC_NUMERIC, "C"));
the_gpgpusim->g_the_gpu_config->init();
the_gpgpusim->g_the_gpu =
new gpgpu_sim(*(the_gpgpusim->g_the_gpu_config), this);
the_gpgpusim->g_stream_manager = new stream_manager(
(the_gpgpusim->g_the_gpu), func_sim->g_cuda_launch_blocking);
the_gpgpusim->g_simulation_starttime = time((time_t *)NULL);
sem_init(&(the_gpgpusim->g_sim_signal_start), 0, 0);
sem_init(&(the_gpgpusim->g_sim_signal_finish), 0, 0);
sem_init(&(the_gpgpusim->g_sim_signal_exit), 0, 0);
return the_gpgpusim->g_the_gpu;
}
gpgpu_sim *gpgpu_context::gpgpu_trace_sim_init_perf(int argc, const char *argv[])
{
srand(1);
print_splash();
func_sim->read_sim_environment_variables();
ptx_parser->read_parser_environment_variables();
option_parser_t opp = option_parser_create();
ptx_reg_options(opp);
func_sim->ptx_opcocde_latency_options(opp);
icnt_reg_options(opp);
the_gpgpusim->g_the_gpu_config = new gpgpu_sim_config(this);
the_gpgpusim->g_the_gpu_config->reg_options(opp); // register GPU microrachitecture options
option_parser_cmdline(opp, argc, argv); // parse configuration options
fprintf(stdout, "GPGPU-Sim: Configuration options:\n\n");
option_parser_print(opp, stdout);
// Set the Numeric locale to a standard locale where a decimal point is a "dot" not a "comma"
// so it does the parsing correctly independent of the system environment variables
assert(setlocale(LC_NUMERIC,"C"));
the_gpgpusim->g_the_gpu_config->init();
the_gpgpusim->g_the_gpu = new gpgpu_sim(*(the_gpgpusim->g_the_gpu_config), this);
the_gpgpusim->g_stream_manager = new stream_manager((the_gpgpusim->g_the_gpu), func_sim->g_cuda_launch_blocking);
the_gpgpusim->g_simulation_starttime = time((time_t *)NULL);
return the_gpgpusim->g_the_gpu;
}
void gpgpu_context::start_sim_thread(int api) {
if (the_gpgpusim->g_sim_done) {
the_gpgpusim->g_sim_done = false;
if (api == 1) {
pthread_create(&(the_gpgpusim->g_simulation_thread), NULL,
gpgpu_sim_thread_concurrent, (void *)this);
} else {
pthread_create(&(the_gpgpusim->g_simulation_thread), NULL,
gpgpu_sim_thread_sequential, (void *)this);
}
}
}
void gpgpu_context::print_simulation_time() {
time_t current_time, difference, d, h, m, s;
current_time = time((time_t *)NULL);
difference = MAX(current_time - the_gpgpusim->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)(the_gpgpusim->g_the_gpu->gpu_tot_sim_insn / difference));
const unsigned cycles_per_sec =
(unsigned)(the_gpgpusim->g_the_gpu->gpu_tot_sim_cycle / difference);
printf("gpgpu_simulation_rate = %u (cycle/sec)\n", cycles_per_sec);
printf("gpgpu_silicon_slowdown = %ux\n",
the_gpgpusim->g_the_gpu->shader_clock() * 1000 / cycles_per_sec);
fflush(stdout);
}
int gpgpu_context::gpgpu_opencl_ptx_sim_main_perf(kernel_info_t *grid) {
the_gpgpusim->g_the_gpu->launch(grid);
sem_post(&(the_gpgpusim->g_sim_signal_start));
sem_wait(&(the_gpgpusim->g_sim_signal_finish));
return 0;
}
//! Functional simulation of OpenCL
/*!
* This function call the CUDA PTX functional simulator
*/
int cuda_sim::gpgpu_opencl_ptx_sim_main_func(kernel_info_t *grid) {
// calling the CUDA PTX simulator, sending the kernel by reference and a flag
// set to true, the flag used by the function to distinguish OpenCL calls from
// the CUDA simulation calls which it is needed by the called function to not
// register the exit the exit of OpenCL kernel as it doesn't register entering
// in the first place as the CUDA kernels does
gpgpu_cuda_ptx_sim_main_func(*grid, true);
return 0;
}
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