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Confidence Estimation for Branch Prediction Reversal Juan L. Aragn1
 

Summary: Confidence Estimation for Branch Prediction Reversal
Juan L. Aragón1
, José González1
, José M. García1
and Antonio González2
1
Dpto. Ingeniería y Tecnología de Computadores
Universidad de Murcia, 30071 Murcia (Spain)
{jlaragon,joseg,jmgarcia}@ditec.um.es
2
Departament d'Arquitectura de Computadors
Universitat Politècnica de Catalunya, 08034 Barcelona (Spain)
antonio@ac.upc.es
Abstract. Branch prediction reversal has been proved to be an effective alter-
native approach to dropping misprediction rates by means of adding a Confi-
dence Estimator to a correlating branch predictor. This paper presents a Branch
Prediction Reversal Unit (BPRU) especially oriented to enhance correlating
branch predictors, such as the gshare and the Alpha 21264 metapredictor. The
novelty of this proposal lies on the inclusion of data values in the confidence
estimation process. Confidence metrics show that the BPRU can correctly tag

  

Source: Aragón Alcaraz, Juan Luis - Departamento de Ingenieria y Tecnologia de Computadores, Universidad de Murcia

 

Collections: Computer Technologies and Information Sciences