SIMD, which stands for Single Instruction Multiple Data, is a type of computational architecture that allows multiple processing units to execute the same instruction on different sets of data simultaneously. This is often used in applications that require repetitive computations on large datasets, such as image and signal processing, scientific simulations, and data analytics. SIMD architectures can provide significant performance improvements over scalar processors because they allow for efficient parallelization of operations. Examples of SIMD architectures include Intel's SSE, AMD's AVX, and ARM's NEON.
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