/// <summary>
/// Creates a kernel execution node and adds it to a graph<para/>
/// Creates a new kernel execution node and adds it to the graph with
/// dependencies specified via dependencies and arguments specified in nodeParams.<para/>
/// It is possible for dependencies to be null, in which case the node will be placed
/// at the root of the graph. Dependencies may not have any duplicate entries.<para/>
/// A handle to the new node will be returned.
/// </summary>
/// <param name="dependencies">can be null</param>
/// <param name="nodeParams">Parameters for the GPU execution node</param>
/// <returns>A handle to the new node will be returned.</returns>
public CUgraphNode AddKernelNode(CUgraphNode[] dependencies, CUDA_KERNEL_NODE_PARAMS nodeParams)
{
CUgraphNode node = new CUgraphNode();
SizeT numDependencies = 0;
if (dependencies != null)
{
numDependencies = dependencies.Length;
}
res = DriverAPINativeMethods.GraphManagment.cuGraphAddKernelNode(ref node, _graph, dependencies, numDependencies, ref nodeParams);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cuGraphAddKernelNode", res));
if (res != CUResult.Success)
{
throw new CudaException(res);
}
return(node);
}
/// <summary>
/// Creates a kernel execution node and adds it to a graph<para/>
/// Creates a new kernel execution node and adds it to the graph with
/// dependencies specified via dependencies and arguments specified in nodeParams.<para/>
/// It is possible for dependencies to be null, in which case the node will be placed
/// at the root of the graph. Dependencies may not have any duplicate entries.<para/>
/// A handle to the new node will be returned.
/// </summary>
/// <param name="dependencies">can be null</param>
/// <param name="kernel">Kernel to execute</param>
/// <param name="parameters">Kernel parameters to pass. An Array of IntPtr each of them pointing to a parameters. Note that the parameters must be pinned by GC!</param>
/// <param name="extras">Extra data</param>
/// <returns>A handle to the new node will be returned.</returns>
public CUgraphNode AddKernelNode(CUgraphNode[] dependencies, CudaKernel kernel, IntPtr parameters, IntPtr extras)
{
CUgraphNode node = new CUgraphNode();
SizeT numDependencies = 0;
if (dependencies != null)
{
numDependencies = dependencies.Length;
}
CUDA_KERNEL_NODE_PARAMS nodeParams = new CUDA_KERNEL_NODE_PARAMS
{
blockDimX = kernel.BlockDimensions.x,
blockDimY = kernel.BlockDimensions.y,
blockDimZ = kernel.BlockDimensions.z,
extra = extras,
func = kernel.CUFunction,
gridDimX = kernel.GridDimensions.x,
gridDimY = kernel.GridDimensions.y,
gridDimZ = kernel.GridDimensions.z,
kernelParams = parameters,
sharedMemBytes = kernel.DynamicSharedMemory
};
res = DriverAPINativeMethods.GraphManagment.cuGraphAddKernelNode(ref node, _graph, dependencies, numDependencies, ref nodeParams);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cuGraphAddKernelNode", res));
if (res != CUResult.Success)
{
throw new CudaException(res);
}
return(node);
}
