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題名: Employing both inter-branch and intra-branch correlation to improve the accuracy of branch prediction for superscalar processor
作者: Chang, Meng-chou;Chiu, Ting-yu;Chang, Chih-pei
貢獻者: 電子工程學系
關鍵詞: Superscalar processor;Branch prediction;Speculative execution;Two-level branch predictor
日期: 2003-12
上傳時間: 2012-05-22T06:46:14Z
出版者: 逢甲大學
摘要: Today’s superscalar processors use branch prediction to reduce the influence of control hazards. Conventional two-level branch predictors make predictions based on either intra-branch correlation or inter-branch correlation. In the paper, the authors proposed two new branch predictors, called PGXg and PGAg, which make predictions by employing both intra-branch correlation and inter-branch correction. It is shown that the proposed branch predictors can achieve a better cost-performance ratio than conventional two-level branch predictors, such as PAg and gshare
關聯: National Computer Symposium, 逢甲大學, 2003年12月18-19日: 2280-2284
顯示於類別:[電子工程學系] 會議論文

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