Analyze the impact of cache performance on the time complexity of algorithms, particularly focusing on algorithms with good spatial and temporal locality.

Cache performance significantly affects time complexity, as accessing data in cache is much faster than main memory. Algorithms with good spatial locality (sequential data access) and temporal locality (repeated access to the same data) benefit from reduced cache misses, leading to lower effective time complexity. Matrix multiplication and certain sorting algorithms, like quicksort, can exploit locality to enhance performance, effectively reducing the real-world execution time.