diff options
| author | Mahmoud <[email protected]> | 2019-09-12 18:30:18 -0400 |
|---|---|---|
| committer | Mahmoud <[email protected]> | 2019-09-12 18:30:18 -0400 |
| commit | 5753f2236b73be3e2a1a49a55fc5c52310eba622 (patch) | |
| tree | c30d62bb70f62a7930f4fa0763c219b103b622d3 /src/cuda-sim/cuda-sim.cc | |
| parent | 6ce5e06d2389cad5041b495d5516b503ec7d2cd2 (diff) | |
| parent | bea40c4a22a86fddbf1f7845265697716727f8b1 (diff) | |
Merge branch 'dev' of https://github.com/purdue-aalp/gpgpu-sim_distribution into dev-traces
Diffstat (limited to 'src/cuda-sim/cuda-sim.cc')
| -rw-r--r-- | src/cuda-sim/cuda-sim.cc | 48 |
1 files changed, 19 insertions, 29 deletions
diff --git a/src/cuda-sim/cuda-sim.cc b/src/cuda-sim/cuda-sim.cc index 1b0e841..7a130ea 100644 --- a/src/cuda-sim/cuda-sim.cc +++ b/src/cuda-sim/cuda-sim.cc @@ -429,7 +429,7 @@ void gpgpu_t::memcpy_to_gpu( size_t dst_start_addr, const void *src, size_t coun // Copy into the performance model. //extern gpgpu_sim* g_the_gpu; - g_the_gpu()->perf_memcpy_to_gpu(dst_start_addr, count); + gpgpu_ctx->the_gpgpusim->g_the_gpu->perf_memcpy_to_gpu(dst_start_addr, count); if(g_debug_execution >= 3) { printf( " done.\n"); fflush(stdout); @@ -448,7 +448,7 @@ void gpgpu_t::memcpy_from_gpu( void *dst, size_t src_start_addr, size_t count ) // Copy into the performance model. //extern gpgpu_sim* g_the_gpu; - g_the_gpu()->perf_memcpy_to_gpu(src_start_addr, count); + gpgpu_ctx->the_gpgpusim->g_the_gpu->perf_memcpy_to_gpu(src_start_addr, count); if(g_debug_execution >= 3) { printf( " done.\n"); fflush(stdout); @@ -1254,7 +1254,7 @@ void function_info::param_to_shared( memory_space *shared_mem, symbol_table *sym { // TODO: call this only for PTXPlus with GT200 models //extern gpgpu_sim* g_the_gpu; - if (not g_the_gpu()->get_config().convert_to_ptxplus()) return; + if (not gpgpu_ctx->the_gpgpusim->g_the_gpu->get_config().convert_to_ptxplus()) return; // copies parameters into simulated shared memory for( std::map<unsigned,param_info>::iterator i=m_ptx_kernel_param_info.begin(); i!=m_ptx_kernel_param_info.end(); i++ ) { @@ -1309,7 +1309,7 @@ void function_info::ptx_jit_config(std::map<unsigned long long, size_t> mallocPt char buff[1024]; std::string filename_c(filename+"_c"); snprintf(buff,1024,"c++filt %s > %s", get_name().c_str(), filename_c.c_str()); - system(buff); + assert(system(buff) != NULL); FILE *fp = fopen(filename_c.c_str(), "r"); fgets(buff, 1024, fp); fclose(fp); @@ -1432,13 +1432,13 @@ void function_info::ptx_jit_config(std::map<unsigned long long, size_t> mallocPt fout = fopen(ptx_config_fn.c_str(), "a"); assert(fout!=NULL); for (unsigned i = 0; i<line_number; i++){ - fgets(buff, 1024, fin); + assert(fgets(buff, 1024, fin) != NULL); assert(!feof(fin)); } fprintf(fout, "\n\n"); do{ fprintf(fout, "%s", buff); - fgets(buff, 1024, fin); + assert(fgets(buff, 1024, fin) != NULL); if(feof(fin)){ break; } @@ -1491,7 +1491,6 @@ static unsigned get_tex_datasize( const ptx_instruction *pI, ptx_thread_info *th const operand_info &src1 = pI->src1(); //the name of the texture std::string texname = src1.name(); - gpgpu_t *gpu = thread->get_gpu(); /* For programs with many streams, textures can be bound and unbound asynchronously. This means we need to use the kernel's "snapshot" of @@ -1577,7 +1576,7 @@ void ptx_thread_info::ptx_exec_inst( warp_inst_t &inst, unsigned lane_id) } //Tensorcore is warp synchronous operation. So these instructions needs to be executed only once. To make the simulation faster removing the redundant tensorcore operation - if(!tensorcore_op(inst_opcode)||(tensorcore_op(inst_opcode))&&(lane_id==0)){ + if(!tensorcore_op(inst_opcode)||((tensorcore_op(inst_opcode))&&(lane_id==0))){ switch ( inst_opcode ) { #define OP_DEF(OP,FUNC,STR,DST,CLASSIFICATION) case OP: FUNC(pI,this); op_classification = CLASSIFICATION; break; #define OP_W_DEF(OP,FUNC,STR,DST,CLASSIFICATION) case OP: FUNC(pI,get_core(),inst); op_classification = CLASSIFICATION; break; @@ -2138,19 +2137,13 @@ void cuda_sim::gpgpu_cuda_ptx_sim_main_func( kernel_info_t &kernel, bool openCL kernel_func_info->set_pdom(); } - unsigned max_cta_tot = max_cta(kernel_info,kernel.threads_per_cta(), g_the_gpu()->getShaderCoreConfig()->warp_size, g_the_gpu()->getShaderCoreConfig()->n_thread_per_shader, g_the_gpu()->getShaderCoreConfig()->gpgpu_shmem_size, g_the_gpu()->getShaderCoreConfig()->gpgpu_shader_registers, g_the_gpu()->getShaderCoreConfig()->max_cta_per_core); + unsigned max_cta_tot = max_cta(kernel_info,kernel.threads_per_cta(), gpgpu_ctx->the_gpgpusim->g_the_gpu->getShaderCoreConfig()->warp_size, gpgpu_ctx->the_gpgpusim->g_the_gpu->getShaderCoreConfig()->n_thread_per_shader, gpgpu_ctx->the_gpgpusim->g_the_gpu->getShaderCoreConfig()->gpgpu_shmem_size, gpgpu_ctx->the_gpgpusim->g_the_gpu->getShaderCoreConfig()->gpgpu_shader_registers, gpgpu_ctx->the_gpgpusim->g_the_gpu->getShaderCoreConfig()->max_cta_per_core); printf("Max CTA : %d\n",max_cta_tot); - - - - - int inst_count=50; - int cp_op= g_the_gpu()->checkpoint_option; - int cp_CTA = g_the_gpu()->checkpoint_CTA; - int cp_kernel= g_the_gpu()->checkpoint_kernel; - cp_count= g_the_gpu()->checkpoint_insn_Y; - cp_cta_resume= g_the_gpu()->checkpoint_CTA_t; + int cp_op= gpgpu_ctx->the_gpgpusim->g_the_gpu->checkpoint_option; + int cp_kernel= gpgpu_ctx->the_gpgpusim->g_the_gpu->checkpoint_kernel; + cp_count= gpgpu_ctx->the_gpgpusim->g_the_gpu->checkpoint_insn_Y; + cp_cta_resume= gpgpu_ctx->the_gpgpusim->g_the_gpu->checkpoint_CTA_t; int cta_launched =0; //we excute the kernel one CTA (Block) at the time, as synchronization functions work block wise @@ -2162,8 +2155,8 @@ void cuda_sim::gpgpu_cuda_ptx_sim_main_func( kernel_info_t &kernel, bool openCL { functionalCoreSim cta( &kernel, - g_the_gpu(), - g_the_gpu()->getShaderCoreConfig()->warp_size + gpgpu_ctx->the_gpgpusim->g_the_gpu, + gpgpu_ctx->the_gpgpusim->g_the_gpu->getShaderCoreConfig()->warp_size ); cta.execute(cp_count,temp); @@ -2184,7 +2177,7 @@ void cuda_sim::gpgpu_cuda_ptx_sim_main_func( kernel_info_t &kernel, bool openCL { char f1name[2048]; snprintf(f1name,2048,"checkpoint_files/global_mem_%d.txt", kernel.get_uid() ); - g_checkpoint->store_global_mem(g_the_gpu()->get_global_memory(), f1name , "%08x"); + g_checkpoint->store_global_mem(gpgpu_ctx->the_gpgpusim->g_the_gpu->get_global_memory(), f1name , (char *)"%08x"); } @@ -2195,7 +2188,7 @@ void cuda_sim::gpgpu_cuda_ptx_sim_main_func( kernel_info_t &kernel, bool openCL //openCL kernel simulation calls don't register the kernel so we don't register its exit if(!openCL) { //extern stream_manager *g_stream_manager; - g_stream_manager()->register_finished_kernel(kernel.get_uid()); + gpgpu_ctx->the_gpgpusim->g_stream_manager->register_finished_kernel(kernel.get_uid()); } //******PRINTING******* @@ -2210,7 +2203,7 @@ void cuda_sim::gpgpu_cuda_ptx_sim_main_func( kernel_info_t &kernel, bool openCL //g_simulation_starttime is initilized by gpgpu_ptx_sim_init_perf() in gpgpusim_entrypoint.cc upon starting gpgpu-sim time_t end_time, elapsed_time, days, hrs, minutes, sec; end_time = time((time_t *)NULL); - elapsed_time = MAX(end_time - GPGPUsim_ctx_ptr()->g_simulation_starttime, 1); + elapsed_time = MAX(end_time - gpgpu_ctx->the_gpgpusim->g_simulation_starttime, 1); //calculating and printing simulation time in terms of days, hours, minutes and seconds @@ -2312,18 +2305,15 @@ void functionalCoreSim::execute(int inst_count, unsigned ctaid_cp) checkpoint *g_checkpoint; g_checkpoint = new checkpoint(); - symbol * sym; ptx_reg_t regval; regval.u64= 123; - symbol_table * symtab= m_kernel->entry()->get_symtab(); - unsigned ctaid =m_kernel->get_next_cta_id_single(); if(m_gpu->checkpoint_option==1 && (m_kernel->get_uid()==m_gpu->checkpoint_kernel) && (ctaid_cp>=m_gpu->checkpoint_CTA) && (ctaid_cp<m_gpu->checkpoint_CTA_t)) { char fname[2048]; snprintf(fname,2048,"checkpoint_files/shared_mem_%d.txt",ctaid-1 ); - g_checkpoint->store_global_mem(m_thread[0]->m_shared_mem, fname , "%08x"); + g_checkpoint->store_global_mem(m_thread[0]->m_shared_mem, fname , (char *)"%08x"); for(int i=0; i<32*m_warp_count;i++) { char fname[2048]; @@ -2331,7 +2321,7 @@ void functionalCoreSim::execute(int inst_count, unsigned ctaid_cp) m_thread[i]->print_reg_thread(fname); char f1name[2048]; snprintf(f1name,2048,"checkpoint_files/local_mem_thread_%d_%d_reg.txt",i,ctaid-1 ); - g_checkpoint->store_global_mem(m_thread[i]->m_local_mem, f1name , "%08x"); + g_checkpoint->store_global_mem(m_thread[i]->m_local_mem, f1name , (char *)"%08x"); m_thread[i]->set_done(); m_thread[i]->exitCore(); m_thread[i]->registerExit(); |
