Accurate and Stable Run-Time Power Modeling for Mobile and Embedded CPUs
- Submitting institution
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King's College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 127614433
- Type
- D - Journal article
- DOI
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10.1109/TCAD.2016.2562920
- Title of journal
- Ieee transactions on computer-Aided design of integrated circuits and systems
- Article number
- 7464834
- First page
- 106
- Volume
- 36
- Issue
- 1
- ISSN
- 0278-0070
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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6
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This industrially co-authored paper proposed rigorous and novel methodology for building accurate power models for microprocessors, validated with real hardware and industrial applications. The methodology led to an open-source tool (http://bit.ly/2RxcBxE), used by Arm R&D, integrated into the popular gem5 simulator, and has been downloaded by 65 universities and industrial research labs worldwide. The paper was nominated for IEEE TCAD Best Paper award, and tutorials were run at MICRO'15, ISPASS'16, training 40 end users. This work led directly to consultancy from Arm, Cambridge (David Flynn,dflynn@ieee.org)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -