National Changhua University of Education Institutional Repository : Item 987654321/10349
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题名: Branch Prediction using Both Global and Local branch History Information
作者: Chang, Meng-chou;Chou, Yu-wen
贡献者: 電子工程學系
日期: 2002-03
上传时间: 2012-05-22T06:45:22Z
出版者: IEEE
摘要: As the pipeline depth and issue rate of high-performance superscalar processors increase, the importance of an excellent branch predictor becomes more crucial to delivering the potential performance of a wide-issue, deep pipelined processor. Conventional two-level branch predictors predict the outcome of a branch either based on the local branch history information, comprising the previous outcomes of a single branch, or based on the global branch history information, comprising the previous outcomes of all branches. The authors propose a new branch prediction scheme, called LGshare, which employs both the global and local branch history information simultaneously to improve the branch prediction accuracy for superscalar processors. It is shown that LGshare can achieve higher branch prediction accuracy than conventional twolevel predictors when the size of the pattern history table is fixed.
關聯: IEE Proceedings-Computers and Digital Techniques, 149(2): 33-38
显示于类别:[電子工程學系] 期刊論文

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