GPU programming involves harnessing the parallel processing power of Graphics Processing Units to accelerate computational tasks beyond graphics rendering, significantly enhancing performance for data-intensive applications. It requires understanding parallel computing paradigms and optimizing algorithms to effectively leverage the architecture of GPUs for tasks like machine learning, scientific simulations, and real-time data processing.