Single Instruction, Multiple Data (SIMD) is a parallel computing architecture that allows a single operation to be performed on multiple data points simultaneously, enhancing performance in tasks like multimedia processing and scientific computations. SIMD is efficient in handling vectorized operations, where the same instruction is applied across large datasets, reducing the number of instructions needed and improving data throughput.