diff options
Diffstat (limited to 'src/gpgpu-sim/gpu-sim.cc')
| -rw-r--r-- | src/gpgpu-sim/gpu-sim.cc | 195 |
1 files changed, 185 insertions, 10 deletions
diff --git a/src/gpgpu-sim/gpu-sim.cc b/src/gpgpu-sim/gpu-sim.cc index e7ba8e5..3bd1892 100644 --- a/src/gpgpu-sim/gpu-sim.cc +++ b/src/gpgpu-sim/gpu-sim.cc @@ -61,6 +61,7 @@ #include "power_stat.h" #include "visualizer.h" #include "stats.h" +#include "../cuda-sim/cuda_device_runtime.h" #ifdef GPGPUSIM_POWER_MODEL #include "power_interface.h" @@ -366,6 +367,10 @@ void shader_core_config::reg_options(class OptionParser * opp) "For complete list of prioritization values see shader.h enum scheduler_prioritization_type" "Default: gto", "gto"); + + option_parser_register(opp, "-gpgpu_concurrent_kernel_sm", OPT_BOOL, &gpgpu_concurrent_kernel_sm, + "Support concurrent kernels on a SM (default = disabled)", + "0"); } void gpgpu_sim_config::reg_options(option_parser_t opp) @@ -438,6 +443,16 @@ void gpgpu_sim_config::reg_options(option_parser_t opp) &Trace::sampling_memory_partition, "The memory partition which is printed using MEMPART_DPRINTF. Default -1 (i.e. all)", "-1"); ptx_file_line_stats_options(opp); + + //Jin: kernel launch latency + extern unsigned g_kernel_launch_latency; + option_parser_register(opp, "-gpgpu_kernel_launch_latency", OPT_INT32, + &g_kernel_launch_latency, "Kernel launch latency in cycles. Default: 0", + "0"); + extern bool g_cdp_enabled; + option_parser_register(opp, "-gpgpu_cdp_enabled", OPT_BOOL, + &g_cdp_enabled, "Turn on CDP", + "0"); } ///////////////////////////////////////////////////////////////////////////// @@ -518,16 +533,27 @@ bool gpgpu_sim::get_more_cta_left() const kernel_info_t *gpgpu_sim::select_kernel() { + if(m_running_kernels[m_last_issued_kernel] && + !m_running_kernels[m_last_issued_kernel]->no_more_ctas_to_run()) { + unsigned launch_uid = m_running_kernels[m_last_issued_kernel]->get_uid(); + if(std::find(m_executed_kernel_uids.begin(), m_executed_kernel_uids.end(), launch_uid) == m_executed_kernel_uids.end()) { + m_running_kernels[m_last_issued_kernel]->start_cycle = gpu_sim_cycle + gpu_tot_sim_cycle; + m_executed_kernel_uids.push_back(launch_uid); + m_executed_kernel_names.push_back(m_running_kernels[m_last_issued_kernel]->name()); + } + return m_running_kernels[m_last_issued_kernel]; + } + for(unsigned n=0; n < m_running_kernels.size(); n++ ) { unsigned idx = (n+m_last_issued_kernel+1)%m_config.max_concurrent_kernel; if( kernel_more_cta_left(m_running_kernels[idx]) ){ m_last_issued_kernel=idx; + m_running_kernels[idx]->start_cycle = gpu_sim_cycle + gpu_tot_sim_cycle; // record this kernel for stat print if it is the first time this kernel is selected for execution unsigned launch_uid = m_running_kernels[idx]->get_uid(); - if (std::find(m_executed_kernel_uids.begin(), m_executed_kernel_uids.end(), launch_uid) == m_executed_kernel_uids.end()) { - m_executed_kernel_uids.push_back(launch_uid); - m_executed_kernel_names.push_back(m_running_kernels[idx]->name()); - } + assert(std::find(m_executed_kernel_uids.begin(), m_executed_kernel_uids.end(), launch_uid) == m_executed_kernel_uids.end()); + m_executed_kernel_uids.push_back(launch_uid); + m_executed_kernel_names.push_back(m_running_kernels[idx]->name()); return m_running_kernels[idx]; } @@ -551,6 +577,7 @@ void gpgpu_sim::set_kernel_done( kernel_info_t *kernel ) std::vector<kernel_info_t*>::iterator k; for( k=m_running_kernels.begin(); k!=m_running_kernels.end(); k++ ) { if( *k == kernel ) { + kernel->end_cycle = gpu_sim_cycle + gpu_tot_sim_cycle; *k = NULL; break; } @@ -622,6 +649,10 @@ gpgpu_sim::gpgpu_sim( const gpgpu_sim_config &config ) *active_sms=0; last_liveness_message_time = 0; + + //Jin: functional simulation for CDP + m_functional_sim = false; + m_functional_sim_kernel = NULL; } int gpgpu_sim::shared_mem_size() const @@ -927,7 +958,8 @@ void gpgpu_sim::gpu_print_stat() printf("gpu_tot_ipc = %12.4f\n", (float)(gpu_tot_sim_insn+gpu_sim_insn) / (gpu_tot_sim_cycle+gpu_sim_cycle)); printf("gpu_tot_issued_cta = %lld\n", gpu_tot_issued_cta + m_total_cta_launched); - + extern unsigned long long g_max_total_param_size; + fprintf(statfout, "max_total_param_size = %llu\n", g_max_total_param_size); // performance counter for stalls due to congestion. printf("gpu_stall_dramfull = %d\n", gpu_stall_dramfull); @@ -1073,7 +1105,119 @@ void shader_core_ctx::mem_instruction_stats(const warp_inst_t &inst) abort(); } } +bool shader_core_ctx::can_issue_1block(kernel_info_t & kernel) { + + //Jin: concurrent kernels on one SM + if(m_config->gpgpu_concurrent_kernel_sm) { + if(m_config->max_cta(kernel) < 1) + return false; + + return occupy_shader_resource_1block(kernel, false); + } + else { + return (get_n_active_cta() < m_config->max_cta(kernel)); + } +} + +int shader_core_ctx::find_available_hwtid(unsigned int cta_size, bool occupy) { + + unsigned int step; + for(step = 0; step < m_config->n_thread_per_shader; + step += cta_size) { + + unsigned int hw_tid; + for(hw_tid = step; hw_tid < step + cta_size; + hw_tid++) { + if(m_occupied_hwtid.test(hw_tid)) + break; + } + if(hw_tid == step + cta_size) //consecutive non-active + break; + } + if(step >= m_config->n_thread_per_shader) //didn't find + return -1; + else { + if(occupy) { + for(unsigned hw_tid = step; hw_tid < step + cta_size; + hw_tid++) + m_occupied_hwtid.set(hw_tid); + } + return step; + } +} + +bool shader_core_ctx::occupy_shader_resource_1block(kernel_info_t & k, bool occupy) { + unsigned threads_per_cta = k.threads_per_cta(); + const class function_info *kernel = k.entry(); + unsigned int padded_cta_size = threads_per_cta; + unsigned int warp_size = m_config->warp_size; + if (padded_cta_size%warp_size) + padded_cta_size = ((padded_cta_size/warp_size)+1)*(warp_size); + + if(m_occupied_n_threads + padded_cta_size > m_config->n_thread_per_shader) + return false; + if(find_available_hwtid(padded_cta_size, false) == -1) + return false; + + const struct gpgpu_ptx_sim_info *kernel_info = ptx_sim_kernel_info(kernel); + + if(m_occupied_shmem + kernel_info->smem > m_config->gpgpu_shmem_size) + return false; + + unsigned int used_regs = padded_cta_size * ((kernel_info->regs+3)&~3); + if(m_occupied_regs + used_regs > m_config->gpgpu_shader_registers) + return false; + + if(m_occupied_ctas +1 > m_config->max_cta_per_core) + return false; + + if(occupy) { + m_occupied_n_threads += padded_cta_size; + m_occupied_shmem += kernel_info->smem; + m_occupied_regs += (padded_cta_size * ((kernel_info->regs+3)&~3)); + m_occupied_ctas++; + + printf("GPGPU-Sim uArch: Shader %d occupied %d threads, %d shared mem, %d registers, %d ctas\n", + m_sid, m_occupied_n_threads, m_occupied_shmem, m_occupied_regs, m_occupied_ctas); + } + + return true; +} + +void shader_core_ctx::release_shader_resource_1block(unsigned hw_ctaid, kernel_info_t & k) { + + if(m_config->gpgpu_concurrent_kernel_sm) { + unsigned threads_per_cta = k.threads_per_cta(); + const class function_info *kernel = k.entry(); + unsigned int padded_cta_size = threads_per_cta; + unsigned int warp_size = m_config->warp_size; + if (padded_cta_size%warp_size) + padded_cta_size = ((padded_cta_size/warp_size)+1)*(warp_size); + + assert(m_occupied_n_threads >= padded_cta_size); + m_occupied_n_threads -= padded_cta_size; + + int start_thread = m_occupied_cta_to_hwtid[hw_ctaid]; + + for(unsigned hwtid = start_thread; hwtid < start_thread + padded_cta_size; + hwtid++) + m_occupied_hwtid.reset(hwtid); + m_occupied_cta_to_hwtid.erase(hw_ctaid); + + const struct gpgpu_ptx_sim_info *kernel_info = ptx_sim_kernel_info(kernel); + + assert(m_occupied_shmem >= (unsigned int)kernel_info->smem); + m_occupied_shmem -= kernel_info->smem; + + unsigned int used_regs = padded_cta_size * ((kernel_info->regs+3)&~3); + assert(m_occupied_regs >= used_regs); + m_occupied_regs -= used_regs; + + assert(m_occupied_ctas >= 1); + m_occupied_ctas--; + } +} //////////////////////////////////////////////////////////////////////////////////////////////// @@ -1086,11 +1230,23 @@ void shader_core_ctx::mem_instruction_stats(const warp_inst_t &inst) void shader_core_ctx::issue_block2core( kernel_info_t &kernel ) { - set_max_cta(kernel); + + if(!m_config->gpgpu_concurrent_kernel_sm) + set_max_cta(kernel); + else + assert(occupy_shader_resource_1block(kernel, true)); + + kernel.inc_running(); // find a free CTA context unsigned free_cta_hw_id=(unsigned)-1; - for (unsigned i=0;i<kernel_max_cta_per_shader;i++ ) { + + unsigned max_cta_per_core; + if(!m_config->gpgpu_concurrent_kernel_sm) + max_cta_per_core = kernel_max_cta_per_shader; + else + max_cta_per_core = m_config->max_cta_per_core; + for (unsigned i=0;i<max_cta_per_core;i++ ) { if( m_cta_status[i]==0 ) { free_cta_hw_id=i; break; @@ -1107,8 +1263,20 @@ void shader_core_ctx::issue_block2core( kernel_info_t &kernel ) int padded_cta_size = cta_size; if (cta_size%m_config->warp_size) padded_cta_size = ((cta_size/m_config->warp_size)+1)*(m_config->warp_size); - unsigned start_thread = free_cta_hw_id * padded_cta_size; - unsigned end_thread = start_thread + cta_size; + + unsigned int start_thread, end_thread; + + if(!m_config->gpgpu_concurrent_kernel_sm) { + start_thread = free_cta_hw_id * padded_cta_size; + end_thread = start_thread + cta_size; + } + else { + start_thread = find_available_hwtid(padded_cta_size, true); + assert((int)start_thread != -1); + end_thread = start_thread + cta_size; + assert(m_occupied_cta_to_hwtid.find(free_cta_hw_id) == m_occupied_cta_to_hwtid.end()); + m_occupied_cta_to_hwtid[free_cta_hw_id]= start_thread; + } // reset the microarchitecture state of the selected hardware thread and warp contexts reinit(start_thread, end_thread,false); @@ -1136,7 +1304,9 @@ void shader_core_ctx::issue_block2core( kernel_info_t &kernel ) m_n_active_cta++; shader_CTA_count_log(m_sid, 1); - printf("GPGPU-Sim uArch: core:%3d, cta:%2u initialized @(%lld,%lld)\n", m_sid, free_cta_hw_id, gpu_sim_cycle, gpu_tot_sim_cycle ); + printf("GPGPU-Sim uArch: core:%3d, cta:%2u, start_tid:%4u, end_tid:%4u, initialized @(%lld,%lld)\n", + m_sid, free_cta_hw_id, start_thread, end_thread, gpu_sim_cycle, gpu_tot_sim_cycle ); + } /////////////////////////////////////////////////////////////////////////////////////////// @@ -1369,6 +1539,11 @@ void gpgpu_sim::cycle() } try_snap_shot(gpu_sim_cycle); spill_log_to_file (stdout, 0, gpu_sim_cycle); + +#if (CUDART_VERSION >= 5000) + //launch device kernel + launch_one_device_kernel(); +#endif } } |