diff options
| -rw-r--r-- | libcuda/cuda_runtime_api.cc | 62 |
1 files changed, 53 insertions, 9 deletions
diff --git a/libcuda/cuda_runtime_api.cc b/libcuda/cuda_runtime_api.cc index 011fef3..29fc873 100644 --- a/libcuda/cuda_runtime_api.cc +++ b/libcuda/cuda_runtime_api.cc @@ -1098,6 +1098,31 @@ int CUDARTAPI __cudaSynchronizeThreads(void**, void*) +/******************************************************************************* + * * + * * + * * + *******************************************************************************/ + +typedef struct CUuuid_st { /**< CUDA definition of UUID */ + char bytes[16]; +} CUuuid; + +/** + * CUDA UUID types + */ +// typedef __device_builtin__ struct CUuuid_st cudaUUID_t; + +__host__ cudaError_t CUDARTAPI cudaGetExportTable(const void **ppExportTable, const cudaUUID_t *pExportTableId) +{ + printf("cudaGetExportTable: UUID = "); + for (int s = 0; s < 16; s++) { + printf("%#2x ", (unsigned char) (pExportTableId->bytes[s])); + } + printf("\n"); + return g_last_cudaError = cudaSuccess; +} + /******************************************************************************* @@ -1238,24 +1263,43 @@ void extract_code_using_cuobjdump(){ CUctx_st *context = GPGPUSim_Context(); char command[1000]; + std::stringstream pid; + pid << getpid(); + char fname[1024]; snprintf(fname,1024,"_cuobjdump_complete_output_XXXXXX"); int fd=mkstemp(fname); close(fd); - std::stringstream pid; - pid << getpid(); // Running cuobjdump using dynamic link to current process snprintf(command,1000,"$CUDA_INSTALL_PATH/bin/cuobjdump -ptx -elf -sass /proc/%s/exe > %s",pid.str().c_str(),fname); printf("Running cuobjdump using \"%s\"\n", command); + bool parse_output = true; int result = system(command); - if(result) {printf("ERROR: Failed to execute: %s\n", command); exit(1);} + if(result) { + if (context->get_device()->get_gpgpu()->get_config().experimental_lib_support() && (result == 65280)) { + // Some CUDA application may exclusively use kernels provided by CUDA + // libraries (e.g. CUBLAS). Skipping cuobjdump extraction from the + // executable for this case. + // 65280 is the return code from cuobjdump denoting the specific error (tested on CUDA 4.0/4.1/4.2) + printf("WARNING: Failed to execute: %s\n", command); + printf(" Executable binary does not contain any GPU kernel.\n"); + parse_output = false; + } else { + printf("ERROR: Failed to execute: %s\n", command); + exit(1); + } + } - printf("Parsing file %s\n", fname); - cuobjdump_in = fopen(fname, "r"); + if (parse_output) { + printf("Parsing file %s\n", fname); + cuobjdump_in = fopen(fname, "r"); - cuobjdump_parse(); - fclose(cuobjdump_in); - printf("Done parsing!!!\n"); + cuobjdump_parse(); + fclose(cuobjdump_in); + printf("Done parsing!!!\n"); + } else { + printf("Parsing skipped for %s\n", fname); + } if (context->get_device()->get_gpgpu()->get_config().experimental_lib_support()){ //Experimental library support @@ -1263,7 +1307,7 @@ void extract_code_using_cuobjdump(){ std::stringstream cmd; cmd << "ldd /proc/" << pid.str() << "/exe | grep $CUDA_INSTALL_PATH | awk \'{print $3}\' > _tempfile_.txt"; - result = system(cmd.str().c_str()); + int result = system(cmd.str().c_str()); if(result){ std::cout << "Failed to execute: " << cmd << std::endl; exit(1); |