The E ect of Speculatively Updating Branch

نویسندگان

  • Eric Hao
  • Po-Yung Chang
چکیده

Recent research 6] has suggested that the branch history register need not contain the outcomes of the most recent branches in order for the Two-Level Adaptive Branch Predictor to work well. From this result, it is tempting to conclude that the branch history register need not be speculatively updated. This paper revis-its this work and explains when the most recent branch outcomes can be omitted without signiicantly aaecting performance. It also explains why this result does not imply that speculative update is not important. This paper shows that because the number of unresolved branches present in the machine varies during program execution, branch predictors without speculative update perform signiicantly worse than branch predictors with speculative update.

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تاریخ انتشار 1994