Bubble budgeting: throughput optimization for dynamic workloads by exploiting dark cores in many core systems
- Submitting institution
-
The University of Essex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1234
- Type
- D - Journal article
- DOI
-
10.1109/TC.2017.2735967
- Title of journal
- IEEE Transactions on Computers
- Article number
- -
- First page
- 178
- Volume
- 67
- Issue
- 2
- ISSN
- 0018-9340
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
D - Robotics and Embedded Systems (RES)
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work, in IEEE-TC, one of the leading-journals focuses on many-core future computing systems and proposes a light-weight scheme to identify the best number and location of active/sleeping cores for each application to be executed to optimise system performance within limited power. The suitability is demonstrated for systems of different sizes. IEEE Transactions on Computers (TC) selected this article as Featured-Paper of month in February 2018 and uploaded a 5-minute recorded presentation in several languages. Recognising the significance of the work it is cited by eminent researchers and is part of a growing focus on this type of system performance.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -