I've been googling around and have only been able to find a trivial example of the new dynamic parallelism in Compute Capability 3.0 in one of their Tech Briefs linked from here. I'm aware that the HPC-specific cards probably won't be available until this time next year (after the nat'l labs get theirs). And yes, I realize that the simple example they gave is enough to get you going, but the more the merrier.
Are there other examples I've missed?
To save you the trouble, here is the entire example given in the tech brief:
__global__ ChildKernel(void* data){
//Operate on data
}
__global__ ParentKernel(void *data){
ChildKernel<<<16, 1>>>(data);
}
// In Host Code
ParentKernel<<<256, 64>>(data);
// Recursion is also supported
__global__ RecursiveKernel(void* data){
if(continueRecursion == true)
RecursiveKernel<<<64, 16>>>(data);
}
EDIT: The GTC talk New Features In the CUDA Programming Model focused mostly on the new Dynamic Parallelism in CUDA 5. The link has the video and slides. Still only toy examples, but a lot more detail than the tech brief above.
Here is what you need, the Dynamic parallelism programming guide. Full of details and examples: http://docs.nvidia.com/cuda/pdf/CUDA_Dynamic_Parallelism_Programming_Guide.pdf