Multiscale Computing in the Exascale Era
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 045-179762-21096
- Type
- D - Journal article
- DOI
-
10.1016/j.jocs.2017.07.004
- Title of journal
- Journal Of Computational Science
- Article number
- -
- First page
- 15
- Volume
- 22
- Issue
- 2017-09-01
- ISSN
- 1877-7503
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2017
- URL
-
https://www.sciencedirect.com/science/article/pii/S1877750316302988/pdfft?md5=cf28390d8dc9198adf08939d91fcb00a&pid=1-s2.0-S1877750316302988-main.pdf
- 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
-
3
- Research group(s)
-
1 - Artificial Intelligence (AI)
- Citation count
- 30
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Work presented here forms a backbone of the software infrastructure in four large EU projects (ComPat €4M 671564, VECMA €4M 800925, INSIST €5.5M 777072, CompBioMed2 €8M 823712). The concepts have been adopted in applications across many disciplines, including fusion, climate, biomedicine and environmental sciences. The componentization approach forms the core for the design and implementation of the VECMA toolkit (https://www.vecma-toolkit.eu) as well as the MUSCLE3 coupling environment (https://muscle3.readthedocs.io).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
