👉 Profiles computing, also known as profile-based computing or profile-guided optimization (PGO), is a software optimization technique that leverages runtime execution data to enhance the performance of compiled programs. During the compilation process, the compiler generates multiple versions of the same executable tailored to different execution profiles, which capture the typical behavior and performance characteristics of the program under various conditions. When the program runs, it collects execution data that reflects how frequently different code paths are taken and how long various functions take to execute. This data is then used by the compiler to make informed decisions during subsequent optimizations, such as inlining functions, eliminating redundant code, and adjusting branch predictions. By aligning optimizations with actual runtime behavior, profiles computing can significantly improve the efficiency and performance of applications without requiring manual intervention from developers.
