COLAB : a collaborative multi-factor scheduler for asymmetric multicore processors
- Submitting institution
-
University of St Andrews
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 265420318
- Type
- E - Conference contribution
- DOI
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10.1145/3368826.3377915
- Title of conference / published proceedings
- Proceedings of the 18th ACM/IEEE International Symposium on Code Generation and Optimization (GCO 2020)
- First page
- 268
- Volume
- -
- Issue
- -
- ISSN
- 1931-0544
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2020
- 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
-
4
- Research group(s)
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B - Systems
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Asymmetric Multicore like ARMs big.Little are ubiquitous in mobile devices, and are entering the laptop and server markets. This work significantly increases the performance of typical multiple multithreaded workloads running concurrently by employing a novel collaborative approach between the core allocator and individual runqueues over state-of-the-art and Linux, significantly increasing the performance and energy efficiency of AMPs with no change to the programs themselves or the hardware.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
