Acceleration of a full-scale industrial CFD application with OP2
- Submitting institution
-
The University of Warwick
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 6069
- Type
- D - Journal article
- DOI
-
10.1109/TPDS.2015.2453972
- Title of journal
- IEEE Transactions on Parallel and Distributed Systems
- Article number
- -
- First page
- 1265
- Volume
- 27
- Issue
- 5
- ISSN
- 1045-9219
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2016
- 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
-
6
- Research group(s)
-
D - Data Science, Systems and Security
- Citation count
- 15
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in a leading parallel computing journal, this paper reports Rolls-Royce, EPSRC and TSB-funded research on the development of a novel domain-specific high-level framework for the generation of efficient code for a range of hardware platforms. This research has impacted the simulation and prediction of tsunamis (Gulias, UCL), new finite-element solver DSLs (Ham, Imperial), the optimisation of unstructured aerodynamics computations for many-core architectures (Farhan, Kaust), sparse linear algebra toolkits (Wood, NASA Langley), efficient fault tolerance (Scholl, Stuttgart), seismological modelling (Luporini, Imperial), and river morphology simulation (ETH Zurich). It has also led to the Rolls-Royce/EPSRC ASiMoV Prosperity Partnership (£14.7M; including EP/S005072/1).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -