Loop optimization refers to a set of techniques used to improve the performance of loops in programming by reducing execution time and resource consumption. This process is crucial in high-performance computing, as loops are often the primary source of inefficiencies in code. By analyzing loop behavior and applying strategies like loop unrolling, vectorization, or minimizing loop overhead, developers can significantly enhance the speed and efficiency of their applications.
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