SIMD, or Single Instruction, Multiple Data, is a type of parallel processing where the same instruction is executed on multiple data points simultaneously.
This allows for significant performance improvements in tasks involving vector or array operations, commonly found in scientific computing, image processing, and other computationally intensive applications.