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Dynamic microarchitectural adaptation using machine learning keep

Dubach, Christophe; Jones, Timothy M.; Bonilla, Edwin


Adaptive microarchitectures are a promising solution for designing high-performance, power-efficient microprocessors. They offer the ability to tailor computational resources to the specific requirements of different programs or program phases. They have

CollectionsANU Research Publications
Date published: 2013
Type: Journal article
Source: ACM Transactions on Architecture and Code Optimization
DOI: 10.1145/2541228.2541238


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