Summary: Selective Branch Prediction Reversal by Correlating with
Data Values and Control Flow
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 is one of the main hurdles in the
roadmap towards deeper pipelines and higher clock
frequencies. This work presents a new approach to

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

Collections: Computer Technologies and Information Sciences