상세검색
최근 검색어 전체 삭제
다국어입력
즐겨찾기0
155700.jpg
KCI등재 학술저널

패턴/패스 통합 분기 예측 전략의 성능 분석

Performance Analysis of Pattern/Path Hybrid Branch Prediction Strategy

Recently studies have shown that conditional branches can be accurately predicted by recording the path leading up to the branch. But path predictors are more complex and uncompatible with existing pattern branch predictors. In order to solve these problems, we propose a simple path branch predictor(SPBP) that hashes together two most recent branch instruction addresses. In addition, we propose a pattern/path hybrid branch predictor composed of the SPBP and existing pattern branch predictors. Through the trace-driven simulation of six benchmark programs, the perfoπnance improvement by the proposed pattern/path hybrid branch predicti is analysed and validated. The proposed predictor can improve the prediction accuracy from 94.21% to 95.03%.

1. 서론

2. 관련 연구

3. 작업부하 및 trace-driven 시뮬레이션

4. 패턴/패스 통합 분기 예측 구조와 시뮬레이션 결과 분석

5. 결론

참고문헌

로딩중