The ability to use parallel programing on graphics processor unit in digital signal processing

In this paper we present methods of parallel programming on graphics processor unit (GPU). We describe and consider usefulness of NVIDIA's SDK CUDA (Compute Unified Device Architecture), which make GPGPU easier. Finally we try to estimate potential capacity of new graphics processors and also look closer for edge detection example program.