Memorias de investigación
Artículos en revistas:
Reducing Cache Hierarchy Energy Consumption by Predicting Forwarding and Disabling Associative Sets
Año:2012

Áreas de investigación
  • Ciencias de la computación y tecnología informática

Datos
Descripción
The first level data cache in modern processors has become a major consumer of energy due to its increasing size and high frequency access rate. In order to reduce this high energy con sumption, we propose in this paper a straightforward filtering technique based on a highly accurate forwarding predictor. Specifically, a simple structure predicts whether a load instruction will obtain its corresponding data via forwarding from the load-store structure -thus avoiding the data cache access - or if it will be provided by the data cache. This mechanism manages to reduce the data cache energy consumption by an average of 21.5% with a negligible performance penalty of less than 0.1%. Furthermore, in this paper we focus on the cache static energy consumption too by disabling a portion of sets of the L2 associative cache. Overall, when merging both proposals, the combined L1 and L2 total energy consumption is reduced by an average of 29.2% with a performance penalty of just 0.25%. Keywords: Energy consumption; filtering; forwarding predictor; cache hierarchy
Internacional
Si
JCR del ISI
Si
Título de la revista
Journal of Circuits Systems And Computers
ISSN
0218-1266
Factor de impacto JCR
0,281
Información de impacto
Volumen
21
DOI
10.1142/50218126612500570
Número de revista
7
Desde la página
124
Hasta la página
146
Mes
NOVIEMBRE
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Participantes
  • Autor: Pablo Carazo Minguela UPM
  • Autor: Rubén Apolloni Universidad Nacional de San Luis, Argentina)
  • Autor: Fernando Castro Universidad Complutense de Madrid
  • Autor: Daniel Chaver Universidad Complutense de Madrid
  • Autor: Luis Pinuel Universidad Complutense de Madrid
  • Autor: Francisco Tirado Universidad Complutense de Madrid

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  • Creador: Departamento: Informática Aplicada