Browsing by Subject "Data-flow graphs"

Now showing items 1-3 of 3

    • Article  

      Improving branch prediction by considering affectors and affectees correlations 

      Sazeides, Yiannakis; Moustakas, Andreas; Constantinides, Kypros; Kleanthous, Marios M. (2011)
      This work investigates the potential of direction-correlations to improve branch prediction. There are two types of direction-correlation: affectors and affectees. This work considers for the first time their implications ...
    • Article  

      Incorporating input/output operations into dynamic data-flow graphs 

      Evripidou, Paraskevas; Gaudiot, J. -L (1995)
      Driven by the 'side-effect' environment of sequential von Neumann computing, Input/Output operations have evolved as state operations on shared files. In parallel programs, if multiple instances of an I/O-performing process ...
    • Article  

      The significance of affectors and affectees correlations for branch prediction 

      Sazeides, Yiannakis; Moustakas, Andreas; Constantinides, Kypros; Kleanthous, Marios M. (2008)
      This work investigates the potential of direction-correlations to improve branch prediction. There are two types of direction- correlation: affectors and affectees. This work considers for the first time their implications ...