Analyzing the performance/power tradeoff of the rCUDA middleware for future exascale systems
- Submitting institution
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Queen's University of Belfast
- Unit of assessment
- 12 - Engineering
- Output identifier
- 171254538
- Type
- D - Journal article
- DOI
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10.1016/j.jpdc.2019.04.021
- Title of journal
- Journal of Parallel and Distributed Computing
- Article number
- -
- First page
- 344
- Volume
- 132
- Issue
- -
- ISSN
- 0743-7315
- Open access status
- Exception within 3 months of publication
- Month of publication
- May
- Year of publication
- 2019
- 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
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2
- Research group(s)
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C - Electrical and Electronic
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work enables computing clusters to be more energy efficient by improving the performance per Watt. It combines the use of low-power processors with shared remote servers accelerated by high-end GPUs using a real scenario.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -