A General Purpose Contention Manager for Software Transactions on the GPU
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 263277-143870-1292
- Type
- D - Journal article
- DOI
-
10.1016/j.jpdc.2019.12.018
- Title of journal
- Journal of Parallel and Distributed Computing
- Article number
- -
- First page
- 1
- Volume
- 139
- Issue
- -
- ISSN
- 0743-7315
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2020
- URL
-
https://doi.org/10.1016/j.jpdc.2019.12.018
- 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
-
6
- Research group(s)
-
F - Networked and Ubiquitous Systems Engineering (NUSE)
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The work is the first to demonstrate that the high-scale parallelism available on a GPU can be applied to a generalised conflict and semantic contention manager. The approach is shown to be successful when applied to a number of industry benchmarks, and compares favourably to a related approach. The project led to the PhD student (lead author) gaining employment at a top research lab in this field, where the work is being expanded to further leverage the large-scale multithreading of GPU computing for general purpose contention management.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -