diff options
| -rw-r--r-- | README | 1 | ||||
| -rw-r--r-- | src/cuda-sim/cuda_device_runtime.cc | 14 | ||||
| -rw-r--r-- | src/cuda-sim/ptx_loader.cc | 5 |
3 files changed, 17 insertions, 3 deletions
@@ -349,6 +349,7 @@ process. ** Debugging failing GPGPU-Sim Regressions ** +Credits: Tor M Aamodt To debug failing GPGPU-Sim regression tests you need to run them locally. The fastest way to do this, assuming you are working with GPGPU-Sim versions more recent than the GPGPU-Sim dev branch circa March 28, 2018 (commit hash 2221d208a745a098a60b0d24c05007e92aaba092), is to install Docker. The instructions below were tested with Docker CE version 18.03 on Ubuntu and Mac OS. Docker will enable you to run the same set of regressions used by GPGPU-Sim when submitting a pull request to https://github.com/gpgpu-sim/gpgpu-sim_distribution and also allow you to log in and launch GPGPU-Sim in gdb so you can inspect failures. diff --git a/src/cuda-sim/cuda_device_runtime.cc b/src/cuda-sim/cuda_device_runtime.cc index 4a8ffe5..b399133 100644 --- a/src/cuda-sim/cuda_device_runtime.cc +++ b/src/cuda-sim/cuda_device_runtime.cc @@ -177,6 +177,20 @@ void gpgpusim_cuda_launchDeviceV2(const ptx_instruction * pI, ptx_thread_info * //device_grid = op.grid; device_kernel_entry = config.entry; DEV_RUNTIME_REPORT("find device kernel " << device_kernel_entry->get_name()); + + //PDOM analysis is done for Parent kernel but not for child kernel. + if (device_kernel_entry->is_pdom_set()) { + printf("GPGPU-Sim PTX: PDOM analysis already done for %s \n", device_kernel_entry->get_name().c_str() ); + } else { + printf("GPGPU-Sim PTX: finding reconvergence points for \'%s\'...\n", device_kernel_entry->get_name().c_str() ); + /* + * Some of the instructions like printf() gives the gpgpusim the wrong impression that it is a function call. + * As printf() doesnt have a body like functions do, doing pdom analysis for printf() causes a crash. + */ + if (device_kernel_entry->get_function_size() >0) + device_kernel_entry->do_pdom(); + device_kernel_entry->set_pdom(); + } //copy data in parameter_buffer to device kernel param memory unsigned device_kernel_arg_size = device_kernel_entry->get_args_aligned_size(); diff --git a/src/cuda-sim/ptx_loader.cc b/src/cuda-sim/ptx_loader.cc index 4ddc6bf..33a4260 100644 --- a/src/cuda-sim/ptx_loader.cc +++ b/src/cuda-sim/ptx_loader.cc @@ -423,6 +423,7 @@ void gpgpu_ptxinfo_load_from_string( const char *p_for_info, unsigned source_num snprintf(commandline,1024,"$CUDA_INSTALL_PATH/bin/ptxas %s -v %s --output-file /dev/null 2> %s", extra_flags, fname2, tempfile_ptxinfo); printf("GPGPU-Sim PTX: generating ptxinfo using \"%s\"\n", commandline); + fflush(stdout); result = system(commandline); if( result != 0 ) { printf("GPGPU-Sim PTX: ERROR ** while loading PTX (b) %d\n", result); @@ -443,14 +444,12 @@ void gpgpu_ptxinfo_load_from_string( const char *p_for_info, unsigned source_num } } - ptxinfo_in = fopen(final_tempfile_ptxinfo,"r"); if(no_of_ptx>0) g_ptxinfo_filename = final_tempfile_ptxinfo; else g_ptxinfo_filename = tempfile_ptxinfo; + ptxinfo_in = fopen(g_ptxinfo_filename,"r"); - //The program might get stuck because the parser didnt receive a EOF. - printf("NOTE: If the program is stuck, please press ctrl+d for Ubuntu/Mac and ctrl+z for Windows users \n"); ptxinfo_parse(); snprintf(commandline,1024,"rm -f *info"); |