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An Alternative TAGE-like Conditional Branch Predictor

Pierre Michaud 1, *
* Corresponding author
1 PACAP - Pushing Architecture and Compilation for Application Performance
Inria Rennes – Bretagne Atlantique , IRISA-D3 - ARCHITECTURE
Abstract : TAGE is one of the most accurate conditional branch predictors known today. However, TAGE does not exploit its input information perfectly, as it is possible to obtain significant prediction accuracy improvements by complementing TAGE with a statistical corrector using the same input information. This paper proposes an alternative TAGE-like predictor making statistical correction practically superfluous.
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Contributor : Pierre Michaud <>
Submitted on : Thursday, May 24, 2018 - 5:17:26 PM
Last modification on : Monday, February 22, 2021 - 3:13:52 PM
Long-term archiving on: : Saturday, August 25, 2018 - 5:50:35 PM


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Pierre Michaud. An Alternative TAGE-like Conditional Branch Predictor. ACM Transactions on Architecture and Code Optimization, Association for Computing Machinery, 2018, 15 (3), pp.1-24. ⟨10.1145/3226098⟩. ⟨hal-01799442⟩



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