Feedback mechanism for dynamic predication of indirect jumps

摘要

Systems and methods are provided to detect instances where dynamic predication of indirect jumps (DIP) is considered to be ineffective utilizing data collected on the recent effectiveness of dynamic predication on recently executed indirect jump instructions. Illustratively, a computing environment comprises a DIP monitoring engine cooperating with a DIP monitoring table that aggregates and processes data representative of the effectiveness of DIP on recently executed jump instructions. Illustratively, the exemplary DIP monitoring engine collects and processes historical data on DIP instances, where, illustratively, a monitored instance can be categorized according to one or more selected classifications. A comparison can be performed for currently monitored indirect jump instructions using the collected historical data (and classifications) to determine whether DIP should be invoked by the computing environment or whether to invoke other indirect jump prediction paradigms.