Code Optimisation Questions
Loop interchange is a code optimization technique that involves swapping the order of nested loops in a program. This technique aims to improve code performance by enhancing data locality and reducing cache misses.
By interchanging loops, the access pattern of memory elements can be optimized, leading to better utilization of cache memory. This is particularly beneficial when dealing with multi-dimensional arrays or matrices, as loop interchange can improve spatial locality by accessing elements in a contiguous manner.
Additionally, loop interchange can also help in reducing loop-carried dependencies, which can enable better parallelization and vectorization of the code. By reordering loops, dependencies between iterations can be minimized, allowing for more efficient execution on modern processors with multiple cores or vector units.
Overall, loop interchange can significantly improve code performance by optimizing memory access patterns, reducing cache misses, and enabling better parallelization and vectorization opportunities.