Cache Locality Optimization

Cache locality optimization is the practice of organizing data and code to make the most efficient use of the CPU's cache memory. In high-frequency trading, accessing data from the main memory is slow, while accessing data from the cache is fast.

By structuring data in memory to match the way the CPU accesses it, firms can significantly reduce the number of cache misses. This involves techniques like data alignment, padding, and using compact data structures.

In the context of crypto derivatives, where millions of data points are processed, cache locality is critical for performance. It is a low-level optimization that has a large impact on overall system latency.

By keeping critical data in the cache, the trading algorithm can react to market changes much faster. It is a standard practice in performance-critical software development.

This optimization ensures that the CPU spends its time calculating rather than waiting for data.