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Improving the accuracy of history-based branch prediction

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2 Author(s)
Kaeli, D.R. ; Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA ; Emma, P.G.

In this paper, we present mechanisms that improve the accuracy and performance of history-based branch prediction. By studying the characteristics of the decision structures present in high-level languages, two mechanisms are proposed that reduce the number of wrong predictions made by a branch target buffer (BTB). Execution-driven modeling is used to evaluate the improvement in branch prediction accuracy, as well as the reduction in overall program execution

Published in:

Computers, IEEE Transactions on  (Volume:46 ,  Issue: 4 )