Data hazards occur in pipelined computer architectures when instructions that depend on the results of previous instructions are executed out of order, potentially leading to incorrect data being used in computations. These hazards are critical to manage as they can cause stalls in the pipeline and impact overall performance, especially in complex designs that leverage features like superscalar execution and dynamic scheduling.
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