Efficient CUDA Stream Compaction Library
Based on
1)Markus Billeter et al. Efficient Stream Compaction on Wide SIMD Many-Core Architectures
2)InK-Compact-: In kernel Stream Compaction and Its Application to Multi-kernel Data Visualization on GPGPU- D.M. Hughes
It is CUDA efficient stream compaction procedure based on warp ballotting intrinsic.
Usage is straightforward:
Create a predicate that decide whether an element is valid or not.
struct predicate
{
__host__ __device__
bool operator()(const int x)
{
return x>0;
}
};
... Call the compact procedure to obtain the compacted array d_output.
d_data, d_output have to be allocated on device.
cuCompactor::compact<int>(d_data,d_output,length,predicate(),blockSize);
PERFORMANCE
