Single Instruction Multiple Data (SIMD) is a parallel computing architecture that allows a single instruction to process multiple data points simultaneously, significantly enhancing performance for tasks involving large data sets. It is particularly effective in applications like multimedia processing, scientific simulations, and machine learning, where the same operation needs to be performed on large arrays of data.