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Tuning adaptive microarchitectures

Authors: Ashutosh S. Dhodapkar; James E. Smith 0001;

Tuning adaptive microarchitectures

Abstract

Microprocessors are designed with a fixed set of microarchitectural resources. However, resource requirements vary across programs and within a program as it passes through different phases of execution. This mismatch between the microarchitecture and program requirements leads to sub-optimal power/performance. We present an adaptive microarchitecture that dynamically adapts to changing program requirements in order to achieve power efficiency with minimal performance loss. The microarchitecture employs four multi-configuration units which are controlled by a phase-based tuning algorithm. We show, via simulation, that the best performing tuning algorithm achieves significant reduction in leakage power with performance loss of ~1%.

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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!
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Average
Average
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