A Retargetable System-Level DBT Hypervisor
- Submitting institution
-
University of Edinburgh
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 125875787
- Type
- E - Conference contribution
- DOI
-
-
- Title of conference / published proceedings
- Proceedings of the 2019 USENIX Annual Technical Conference
- First page
- 505
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- July
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
https://www.usenix.org/conference/atc19/presentation/spink
- 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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A - Computer Systems
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work enables hardware and software engineers to rapidly prototype new processor architectures, or extensions to existing architectures, which previously was either too slow or not possible. The paper achieved a best paper award in the prestigious USENIX Annual Technical Conference 2019 (acceptance rate 20%), and an extended version has subsequently been invited for publication in the ACM Transactions on Computer Systems journal. The paper's research findings have been implemented in software, and are available on github.com/tspink/captive.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -