Application of the extreme scaling computing pattern on multiscale fusion plasma modelling. (18th February 2019)
- Record Type:
- Journal Article
- Title:
- Application of the extreme scaling computing pattern on multiscale fusion plasma modelling. (18th February 2019)
- Main Title:
- Application of the extreme scaling computing pattern on multiscale fusion plasma modelling
- Authors:
- Luk, O. O.
Hoenen, O.
Perks, O.
Brabazon, K.
Piontek, T.
Kopta, P.
Bosak, B.
Bottino, A.
Scott, B. D.
Coster, D. P. - Abstract:
- Abstract : The extreme scaling pattern of the ComPat project is applied to a multi-scale workflow relevant to the magnetically confined fusion problem. This workflow combines transport, turbulence and equilibrium codes (together with additional auxiliaries such as initial conditions and numerical module), which aims at calculating the behaviour of a fusion plasma on long (transport) time scales based on information from much faster (turbulence) time scales. Initial findings of profile measurements are reported in this paper and indicate that, depending on the chosen performance metric for defining 'cost', such as time to completion, efficiency and total energy consumption of the mutliscale workflow, different choices on the number of cores would be made when determining the optimal execution configuration. A variant of the workflow which increases the inherent parallelism is presented, and shown to produce equivalent results at (typically) lower cost compared with the original workflow. This article is part of the theme issue 'Multiscale modelling, simulation and computing: from the desktop to the exascale'.
- Is Part Of:
- Philosophical transactions. Volume 377:Number 2142(2019)
- Journal:
- Philosophical transactions
- Issue:
- Volume 377:Number 2142(2019)
- Issue Display:
- Volume 377, Issue 2142 (2019)
- Year:
- 2019
- Volume:
- 377
- Issue:
- 2142
- Issue Sort Value:
- 2019-0377-2142-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-02-18
- Subjects:
- multiscale modelling -- fusion plasma -- high performance computing -- performance metrics -- profiling
Physical sciences -- Periodicals
Engineering -- Periodicals
Mathematics -- Periodicals
500 - Journal URLs:
- https://royalsocietypublishing.org/loi/rsta ↗
- DOI:
- 10.1098/rsta.2018.0152 ↗
- Languages:
- English
- ISSNs:
- 1364-503X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library STI - ELD Digital store
- Ingest File:
- 10452.xml