diff options
| author | Mengchi Zhang <[email protected]> | 2019-07-09 23:16:17 -0400 |
|---|---|---|
| committer | Mengchi Zhang <[email protected]> | 2019-07-09 23:16:17 -0400 |
| commit | 4d4d5938d715d2b79a617c32583184426b4a642d (patch) | |
| tree | e3b731726c5d87899a0406375826813617cace95 /libcuda/cuda_runtime_api.cc | |
| parent | b3655bf28a7402db347f9d7f87049806b9315a05 (diff) | |
Move g_ptx_sim_mode
Signed-off-by: Mengchi Zhang <[email protected]>
Diffstat (limited to 'libcuda/cuda_runtime_api.cc')
| -rw-r--r-- | libcuda/cuda_runtime_api.cc | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/libcuda/cuda_runtime_api.cc b/libcuda/cuda_runtime_api.cc index bbbaf23..59d2a60 100644 --- a/libcuda/cuda_runtime_api.cc +++ b/libcuda/cuda_runtime_api.cc @@ -1076,7 +1076,7 @@ cudaError_t cudaLaunchInternal( const char *hostFun, gpgpu_context* gpgpu_ctx = CUctx_st* context = GPGPUSim_Context(); char *mode = getenv("PTX_SIM_MODE_FUNC"); if( mode ) - sscanf(mode,"%u", &g_ptx_sim_mode); + sscanf(mode,"%u", &(ctx->func_sim->g_ptx_sim_mode)); gpgpusim_ptx_assert( !ctx->api->g_cuda_launch_stack.empty(), "empty launch stack" ); kernel_config config = ctx->api->g_cuda_launch_stack.back(); { @@ -1092,7 +1092,7 @@ cudaError_t cudaLaunchInternal( const char *hostFun, gpgpu_context* gpgpu_ctx = } struct CUstream_st *stream = config.get_stream(); printf("\nGPGPU-Sim PTX: cudaLaunch for 0x%p (mode=%s) on stream %u\n", hostFun, - g_ptx_sim_mode?"functional simulation":"performance simulation", stream?stream->get_uid():0 ); + (ctx->func_sim->g_ptx_sim_mode)?"functional simulation":"performance simulation", stream?stream->get_uid():0 ); kernel_info_t *grid = ctx->api->gpgpu_cuda_ptx_sim_init_grid(hostFun,config.get_args(),config.grid_dim(),config.block_dim(),context); //do dynamic PDOM analysis for performance simulation scenario std::string kname = grid->name(); @@ -1143,7 +1143,7 @@ cudaError_t cudaLaunchInternal( const char *hostFun, gpgpu_context* gpgpu_ctx = } printf("GPGPU-Sim PTX: pushing kernel \'%s\' to stream %u, gridDim= (%u,%u,%u) blockDim = (%u,%u,%u) \n", kname.c_str(), stream?stream->get_uid():0, gridDim.x,gridDim.y,gridDim.z,blockDim.x,blockDim.y,blockDim.z ); - stream_operation op(grid,g_ptx_sim_mode,stream); + stream_operation op(grid,ctx->func_sim->g_ptx_sim_mode,stream); g_stream_manager()->push(op); ctx->api->g_cuda_launch_stack.pop_back(); return g_last_cudaError = cudaSuccess; |