Browsing by Author "Vintan, L."

Now showing items 1-10 of 10

    • Applying Caching to Two-Level Adaptive Branch Prediction 

      Egan, C.; Steven, G.B.; Shim, W.; Vintan, L. (Institute of Electrical and Electronics Engineers (IEEE), 2001)
      During the 1990s Two-level Adaptive Branch Predictors were developed to meet the requirement for accurate branch prediction in high-performance superscalar processors. However, while two-level adaptive predictors achieve ...

    • Cached Two-Level Adaptive Branch Predictors with Multiple Stages 

      Egan, C.; Steven, G.B.; Vintan, L. (2002)
      During the last decade, the accuracy of branch predictors was significantly improved by the development of Two-Level Adaptive Branch Predictors. However, although these predictors deliver very high prediction rates, they ...

    • A cost-effective two-level adaptive branch predictor 

      Steven, G.B.; Egan, C.; Shim, W.; Vintan, L. (2001)

    • Dynamic branch prediction using neural networks 

      Steven, G.B.; Anguera, R.; Egan, C.; Steven, F.L.; Vintan, L. (Institute of Electrical and Electronics Engineers (IEEE), 2001)
      Dynamic branch prediction in high-performance processors is a specific instance of a general time series prediction problem that occurs in many areas of science. In contrast, most branch prediction research focuses on ...

    • Extending correlation in branch prediction schemes 

      Vintan, L.; Egan, C. (1999)
      The main aim of this research is to propose a new Two-Level Adaptive Branch Prediction scheme, based on additional correlation information. Conventional two-level adaptive branch prediction exploits the correlation between ...

    • Extending correlation in branch prediction schemes 

      Vintan, L.; Egan, C. (Institute of Electrical and Electronics Engineers (IEEE), 1999)
      The main aim of this research is to propose a new Two-Level Adaptive Branch Prediction scheme, based on additional correlation information. Conventional two-level adaptive branch prediction exploits the correlation between ...

    • Modelling superscalar pipelines with finite state machines 

      Steven, G.B.; Vintan, L. (University of Hertfordshire, 1993)
      We are currently examining the use of Finite State Machines to model processor pipelines. Our aim is to discover the extent to which the complexities of modern superscalar pipelines are amenable to theoretical modelling. ...

    • Two-level branch prediction using neural networks 

      Egan, C.; Steven, G.B.; Quick, P.; Anguera, R.; Steven, F.L.; Vintan, L. (2003)
      Dynamic branch prediction in high-performance processors is a specific instance of a general time series prediction problem that occurs in many areas of science. Most branch prediction research focuses on two-level adaptive ...

    • Unbiased Branches: An Open Problem 

      Gellert, A.; Florea, A.; Vintan, M.; Egan, C.; Vintan, L. (2007)
      The majority of currently available dynamic branch predictors base their prediction accuracy on the previous k branch outcomes. Such predictors sustain high prediction accuracy but they do not consider the impact of unbiased ...

    • Understanding prediction limits through unbiased branches 

      Vintan, L.; Gellert, A.; Florea, A.; Oancea, M.; Egan, C. (2006)