Speeding-up image processing in reaction-diffusion cellular neural networks using CUDA-enabled GPU platforms
George Valentin Stoica, Radu Dogaru, Elena Cristina Stoica · 2014
Due to their inherent architecture, the discrete time model of Cellular nonlinear networks (CNNs) for image processing are well suited candidates for efficient implementation using massively parallel architectures. This paper proposes an implementation model for GPU architectures and highlights the advantages over the CPU version, using nVidia's CUDA platform.