data-level parallelism (DLP): vector, SIMD, and GPU processors.

Discuss data-level parallelism (DLP): vector, SIMD, and GPU processors. ~300 words


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Data level parallelism occurs when parallelization happens in multiple processors where data is distributed across multiple nodes of parallel processors. Architectures such as SIMD, vectors, and GPU processors can use data parallelism for optimal performance and usage. SIMD architectures can exploit significant data level parallelism for matrix oriented scientific computing and the media-oriented image and sound processors. 

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