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https://doi.org/10.1109/hpca.2...
Article . 2005 . Peer-reviewed
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Distributing the Frontend for Temperature Reduction

Authors: Chaparro, Pedro; Magklis, Grigorios; González González, José; González Colás, Antonio María;

Distributing the Frontend for Temperature Reduction

Abstract

Due to increasing power densities, both on-chip average and peak temperatures are fast becoming a serious bottleneck in processor design. This is due to the cost of removing the heat generated, and the performance impact of dealing with thermal emergencies. So far microarchitectural techniques to control temperature have mainly focused on the processor backend (in particular the execution units), whereas the frontend has not received much attention. However, as the temperature of the backend remains controlled and the processor throughput increases, the heat dissipated by the frontend becomes more significant, and one of the major contributors to the total average temperature. This paper proposes and evaluates a distributed frontend for clustered microarchitectures that is able to reduce power density and temperature. First, a distributed mechanism for renaming and committing instructions is proposed. Second, a sub-banked trace cache with a bank hopping mechanism is presented. Finally, a method to improve the sub-banking is proposed based on a biased mapping function to distribute bank accesses to balance temperature. Peer Reviewed

Country
Spain
Keywords

Temperature control, Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, Microprocessor chips, Microprocessadors, Computer power supplies, Cooling, :Informàtica::Arquitectura de computadors [Àrees temàtiques de la UPC], Microprocessors

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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24
Average
Top 10%
Top 10%
45
77
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