diff options
Diffstat (limited to 'src/cuda-sim/cuda-sim.h')
| -rw-r--r-- | src/cuda-sim/cuda-sim.h | 111 |
1 files changed, 88 insertions, 23 deletions
diff --git a/src/cuda-sim/cuda-sim.h b/src/cuda-sim/cuda-sim.h index e690356..1be3d19 100644 --- a/src/cuda-sim/cuda-sim.h +++ b/src/cuda-sim/cuda-sim.h @@ -36,33 +36,16 @@ #include <string> #include"ptx_sim.h" +class gpgpu_context; class memory_space; class function_info; class symbol_table; extern const char *g_gpgpusim_version_string; -extern int g_ptx_sim_mode; extern int g_debug_execution; -extern int g_debug_thread_uid; -extern void ** g_inst_classification_stat; -extern void ** g_inst_op_classification_stat; -extern int g_ptx_kernel_count; // used for classification stat collection purposes -extern char *opcode_latency_int, *opcode_latency_fp, *opcode_latency_dp,*opcode_latency_sfu,*opcode_latency_tensor; - -void ptx_opcocde_latency_options (option_parser_t opp); -extern class kernel_info_t *gpgpu_opencl_ptx_sim_init_grid(class function_info *entry, - gpgpu_ptx_sim_arg_list_t args, - struct dim3 gridDim, - struct dim3 blockDim, - class gpgpu_t *gpu ); -extern void gpgpu_cuda_ptx_sim_main_func( kernel_info_t &kernel, bool openCL = false ); extern void print_splash(); -extern void gpgpu_ptx_sim_register_const_variable(void*, const char *deviceName, size_t size ); -extern void gpgpu_ptx_sim_register_global_variable(void *hostVar, const char *deviceName, size_t size ); -extern void gpgpu_ptx_sim_memcpy_symbol(const char *hostVar, const void *src, size_t count, size_t offset, int to, gpgpu_t *gpu ); -extern void read_sim_environment_variables(); extern void ptxinfo_opencl_addinfo( std::map<std::string,function_info*> &kernels ); unsigned ptx_sim_init_thread( kernel_info_t &kernel, class ptx_thread_info** thread_info, @@ -75,12 +58,7 @@ unsigned ptx_sim_init_thread( kernel_info_t &kernel, unsigned hw_warp_id, gpgpu_t *gpu, bool functionalSimulationMode = false); -const warp_inst_t *ptx_fetch_inst( address_type pc ); const struct gpgpu_ptx_sim_info* ptx_sim_kernel_info(const class function_info *kernel); -void ptx_print_insn( address_type pc, FILE *fp ); -std::string ptx_get_insn_str( address_type pc ); -void set_param_gpgpu_num_shaders(int num_shaders); - /*! * This class functionally executes a kernel. It uses the basic data structures and procedures in core_t @@ -134,4 +112,91 @@ void print_ptxinfo(); void clear_ptxinfo(); struct gpgpu_ptx_sim_info get_ptxinfo(); +class gpgpu_recon_t; +struct rec_pts { + gpgpu_recon_t *s_kernel_recon_points; + int s_num_recon; +}; + + +class cuda_sim { + public: + cuda_sim( gpgpu_context* ctx ) { + g_ptx_sim_num_insn = 0; + g_ptx_kernel_count = -1; // used for classification stat collection purposes + gpgpu_param_num_shaders = 0; + g_cuda_launch_blocking = false; + g_inst_classification_stat = NULL; + g_inst_op_classification_stat= NULL; + g_assemble_code_next_pc=0; + g_debug_thread_uid = 0; + g_override_embedded_ptx = false; + ptx_tex_regs = NULL; + g_ptx_thread_info_delete_count=0; + g_ptx_thread_info_uid_next=1; + g_debug_pc = 0xBEEF1518; + gpgpu_ctx = ctx; + } + //global variables + char *opcode_latency_int; + char *opcode_latency_fp; + char *opcode_latency_dp; + char *opcode_latency_sfu; + char *opcode_latency_tensor; + char *opcode_initiation_int; + char *opcode_initiation_fp; + char *opcode_initiation_dp; + char *opcode_initiation_sfu; + char *opcode_initiation_tensor; + int cp_count; + int cp_cta_resume; + int g_ptxinfo_error_detected; + unsigned g_ptx_sim_num_insn; + char *cdp_latency_str; + int g_ptx_kernel_count; // used for classification stat collection purposes + std::map<const void*,std::string> g_global_name_lookup; // indexed by hostVar + std::map<const void*,std::string> g_const_name_lookup; // indexed by hostVar + int g_ptx_sim_mode; // if non-zero run functional simulation only (i.e., no notion of a clock cycle) + unsigned gpgpu_param_num_shaders; + class std::map<function_info*,rec_pts> g_rpts; + bool g_cuda_launch_blocking; + void ** g_inst_classification_stat; + void ** g_inst_op_classification_stat; + std::set<std::string> g_globals; + std::set<std::string> g_constants; + std::map<unsigned,function_info*> g_pc_to_finfo; + int gpgpu_ptx_instruction_classification; + unsigned cdp_latency[5]; + unsigned g_assemble_code_next_pc; + int g_debug_thread_uid; + bool g_override_embedded_ptx; + std::set<unsigned long long> g_ptx_cta_info_sm_idx_used; + ptx_reg_t* ptx_tex_regs; + unsigned g_ptx_thread_info_delete_count; + unsigned g_ptx_thread_info_uid_next; + addr_t g_debug_pc; + // backward pointer + class gpgpu_context* gpgpu_ctx; + //global functions + void ptx_opcocde_latency_options (option_parser_t opp); + void gpgpu_cuda_ptx_sim_main_func( kernel_info_t &kernel, bool openCL = false ); + int gpgpu_opencl_ptx_sim_main_func( kernel_info_t *grid ); + void init_inst_classification_stat(); + kernel_info_t *gpgpu_opencl_ptx_sim_init_grid(class function_info *entry, + gpgpu_ptx_sim_arg_list_t args, + struct dim3 gridDim, + struct dim3 blockDim, + gpgpu_t *gpu ); + void gpgpu_ptx_sim_register_global_variable(void *hostVar, const char *deviceName, size_t size ); + void gpgpu_ptx_sim_register_const_variable(void*, const char *deviceName, size_t size ); + void read_sim_environment_variables(); + void set_param_gpgpu_num_shaders(int num_shaders); + struct rec_pts find_reconvergence_points( function_info *finfo ); + address_type get_converge_point( address_type pc ); + void gpgpu_ptx_sim_memcpy_symbol(const char *hostVar, const void *src, size_t count, size_t offset, int to, gpgpu_t *gpu ); + void ptx_print_insn( address_type pc, FILE *fp ); + std::string ptx_get_insn_str( address_type pc ); + template<int activate_level> bool ptx_debug_exec_dump_cond(int thd_uid, addr_t pc); +}; + #endif |