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Figure shows a state machine diagram of a 2-bit saturating counter with hysteresis branch predictor. The 2-bit state is labelled in blue. The most significant bit of the state gives the prediction (taken=1). The advantage of this predictor is that it takes two incorrect predictions to change a strong prediction, which can be helpful for certain kinds of branches. Consider a 2-bit saturating counter with hysteresis dynamic branch predictor with an 8-entry branch history table (BHT) that initially has all entries set to "01" for weakly not taken.
Assume that bubble begins at PC 0x100 and instructions are 4-byte aligned.
Question a) What will be the state of the BHT after bubble() with the optimized inner loop is called with a 10-element array sorted in ascending order? Question b) How many of the predictions are correct? Question c) How many of the predictions are incorrect? Question d) What is the misprediction rate? Question e) What are the total number of stall/squash cycles due to mispredicted branches? Question f) What is the CPI of bXX for bubble? Question g) Suppose you can add a 2-bit branch predictor to the pipeline without changing the clock frequency. What is the speedup of using a 2-bit predictor over static predict-not-taken for this call to bubble? Use the Iron Law. Round to 3 significant digits.
Binary search tree, and postorder and preorder traversal Determine the shortest path in Graph
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