Loop Tiling is an optimization technique used in computer programming to improve the performance of nested loops. It involves breaking down large loops into smaller, more manageable blocks or "tiles." This helps to enhance data locality, allowing the processor to access data more efficiently from the cache, which can significantly speed up execution time. By reorganizing the loop structure, Loop Tiling minimizes cache misses and maximizes the use of the CPU's cache memory. This technique is particularly beneficial in applications involving large datasets, such as in matrix multiplication or image processing, where efficient memory access is crucial for performance.