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Parallel Programming Models: SIMD and MIMD
With the ever-changing landscape of computing, the demand for faster and more efficient processing of big data has become necessary. Traditional sequential programming paradigms are often insufficient to meet these demands, demanding parallel programming techniques. Parallel programming programs the system to allow multiple tasks to be executed simultaneously, leveraging the capabilities of modern parallel hardware architectures. Visit the detailed tutorial on parallel and distributed computing here.
Among these models, SIMD (Single Instruction, Multiple Data) and MIMD (Multiple Instruction, Multiple Data) stand out as fundamental approaches to parallelism. Understanding these models is essential for developers and researchers alike, as they offer distinct strategies for exploiting parallelism in computing systems.
Parallel programming models covers a diverse range of approaches to utilize parallelism in computing systems. Two primary categories of these models are SIMD (Single Instruction, Multiple Data) and MIMD (Multiple Instruction, Multiple Data).
