What is the difference between static and dynamic branch prediction?
An example of an AI chatbot conversation about static vs dynamic branch prediction in computer architecture.
What is the difference between static and dynamic branch prediction?
Static branch prediction uses fixed rules to predict the direction of branches, while dynamic branch prediction adapts based on runtime behavior.
Can you give me an example of each type?
Sure! An example of static prediction is always predicting 'taken' for a branch. Dynamic prediction might use a history table to track past outcomes.
Which one is generally more accurate?
Dynamic branch prediction is usually more accurate because it learns from actual execution patterns, while static prediction is limited to predefined rules.
What are the performance implications of using one over the other?
Dynamic prediction can significantly improve performance in modern processors by reducing mispredictions, while static prediction may lead to more stalls.
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