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Leakage Energy Reduction in Value Predictors through Static Decay Juan M. Cebrin, Juan L. Aragn and Jos M. Garca

Summary: Leakage Energy Reduction in Value Predictors through Static Decay
Juan M. Cebrián, Juan L. Aragón and José M. García
Dept. Ingeniería y Tecnología de Computadores
Universidad de Murcia
30100 Murcia, Spain
{jcebrian, jlaragon, jmgarcia}@ditec.um.es
As process technology advances toward deep
submicron (below 90nm), static power becomes a new
challenge to address for energy-efficient high performance
processors, especially for large on-chip array structures
such as caches and prediction tables. Value Prediction
appeared as an effective way of increasing processor
performance by overcoming data dependences, but at the
risk of becoming a thermal hot spot due to the additional
power dissipation.
This paper proposes the design of low-leakage Value
Predictors by applying static decay techniques in order to
disable unused entries from the prediction tables. We
explore decay strategies suited for the three most common


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


Collections: Computer Technologies and Information Sciences