Can you explain how dynamic branch prediction works in CPUs?
Sure! Dynamic branch prediction is a technique used in CPUs to improve the flow of instruction execution by guessing the outcome of a branch instruction.
What are the benefits of using dynamic branch prediction?
The main benefits include increased instruction throughput and reduced pipeline stalls, leading to better overall performance.
How does it differ from static branch prediction?
Dynamic branch prediction adapts to the program's behavior at runtime, while static prediction relies on fixed rules determined at compile time.
Can you give an example of how it works in practice?
Certainly! For instance, if a program frequently takes a certain branch, the predictor will learn this pattern and predict that branch in future executions.
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