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Dynamic microarchitectural adaptation using machine learning keep

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Date

2013

Authors

Dubach, Christophe
Jones, Timothy M.
Bonilla, Edwin

Journal Title

Journal ISSN

Volume Title

Publisher

Association for Computing Machinery, Inc

Abstract

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

Description

Keywords

Citation

URI

http://hdl.handle.net/1885/66027

Collections

ANU Research Publications

Source

ACM Transactions on Architecture and Code Optimization

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

DOI

10.1145/2541228.2541238

Restricted until

2037-12-31

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01_Dubach_Dynamic_microarchitectural_2013.pdf (2.54 MB)

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