Gpu computing is a methodological approach and research area focused on leveraging the highly parallel architecture of Graphics Processing Units (GPUs) for general-purpose computation beyond traditional graphics rendering. It investigates techniques for porting and optimizing algorithms to execute efficiently on many-core GPU processors, enabling significant acceleration for computationally intensive tasks across various scientific and engineering disciplines.