merged tensor-cores code

1 files changed, 33 insertions, 1 deletions

diff --git a/libcuda/cuda_runtime_api.cc b/libcuda/cuda_runtime_api.cc
index edd4fb9..a79e740 100644
--- a/libcuda/cuda_runtime_api.cc
+++ b/libcuda/cuda_runtime_api.cc
@@ -954,7 +954,6 @@ __host__ cudaError_t CUDARTAPI cudaSetupArgument(const void *arg, size_t size, s
 	gpgpusim_ptx_assert( !g_cuda_launch_stack.empty(), "empty launch stack" );
 	kernel_config &config = g_cuda_launch_stack.back();
 	config.set_arg(arg,size,offset);
-
 	return g_last_cudaError = cudaSuccess;
 }
 
@@ -982,6 +981,39 @@ __host__ cudaError_t CUDARTAPI cudaLaunch( const char *hostFun )
 	return g_last_cudaError = cudaSuccess;
 }
 
+__host__ cudaError_t CUDARTAPI cudaLaunchKernel ( const char* hostFun, dim3 gridDim, dim3 blockDim, const void** args, size_t sharedMem, cudaStream_t stream )
+{
+	struct CUstream_st *s = (struct CUstream_st *)stream;
+	g_cuda_launch_stack.push_back( kernel_config(gridDim,blockDim,sharedMem,s) );
+
+
+	//printf("cudaLaunchKernel:sizeof(Arg[0])=%d)\n ",sizeof(args[0]));
+	kernel_config &config = g_cuda_launch_stack.back();
+	config.set_arg(args[0],432,0);//standard interface for cutlass library #TODO Implementing a generalized kernel
+
+	CUctx_st* context = GPGPUSim_Context();
+	char *mode = getenv("PTX_SIM_MODE_FUNC");
+	if( mode )
+		sscanf(mode,"%u", &g_ptx_sim_mode);
+	gpgpusim_ptx_assert( !g_cuda_launch_stack.empty(), "empty launch stack" );
+	kernel_config config1 = g_cuda_launch_stack.back();
+	struct CUstream_st *stream1 = config1.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", stream1?stream1->get_uid():0 );
+	kernel_info_t *grid = gpgpu_cuda_ptx_sim_init_grid(hostFun,config1.get_args(),config1.grid_dim(),config1.block_dim(),context);
+	std::string kname = grid->name();
+	dim3 gridDim1 = config1.grid_dim();
+	dim3 blockDim1 = config1.block_dim();
+	printf("GPGPU-Sim PTX: pushing kernel \'%s\' to stream %u, gridDim= (%u,%u,%u) blockDim = (%u,%u,%u) \n",
+			kname.c_str(), stream1?stream1->get_uid():0, gridDim1.x,gridDim1.y,gridDim1.z,blockDim1.x,blockDim1.y,blockDim1.z );
+	stream_operation op(grid,g_ptx_sim_mode,stream1);
+	g_stream_manager->push(op);
+	g_cuda_launch_stack.pop_back();
+	return g_last_cudaError = cudaSuccess;
+
+
+}
+
 /*******************************************************************************
  *                                                                              *
  *                                                                              *