Efficiency of Pre-Computed Branches

نویسندگان

  • Mohammed Aamer
  • Kevin Lux
  • Ravi Mistry
  • Brian Mulholland
چکیده

In this paper we discuss an alternative to the existing branch prediction algorithms, called pre-computed branch prediction. This method does not actually involve prediction, as the branch's outcome is calculated as soon as its last operand is known. We attempted to validate the claim that pre-computed branches give a higher rate of performance than the existing branch prediction methods, by implementing the pre-computed branch algorithm in SimpleScalar. After analyzing our data, we concluded that one does get a higher hit rate and IPC if pre-computed branches are used, which results in increased performance.

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تاریخ انتشار 2003