중첩 반복문을 위한 학습형 예측기를 이용한 향상된 분기 예측기 구현

The accuracy of a branch predictor is a factor which directly influences the performance of the processor. Nested loop is one of the main reason that lowers branch prediction accuracy. In this paper we introduce a adaptable predictor to improve the accuracy for nested loops, and show its efficiency through experimental results.