SIMD (Single Instruction, Multiple Data) architecture is a parallel computing model that allows a single instruction to be executed simultaneously across multiple data points, enhancing performance in tasks like multimedia processing and scientific computations. It is particularly effective for operations that can be performed concurrently on large data sets, such as vector and matrix operations in graphics and signal processing.