Parallel Optimisation Strategies for Fusion Codes
(2011) 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2011) p.357-364- Abstract
- We have previously documented the on-going work in the EUFORIA project to parallelise and optimise European fusion simulation codes, see. This involves working with a wide range of codes to try and address any performance and scaling issues that these codes have. However, as no two simulation codes are exactly the same, it is very hard to apply exactly the same approach to optimising a disparate range of codes. Indeed, it can be seen from that the codes investigated range in terms of performance and ability from well-optimised, highly parallelised codes, to serial or poorly performing codes. After analysing, optimising, and parallelising a range of codes it is, actually, possible to discern a number of distinct optimisation techniques or... (More)
- We have previously documented the on-going work in the EUFORIA project to parallelise and optimise European fusion simulation codes, see. This involves working with a wide range of codes to try and address any performance and scaling issues that these codes have. However, as no two simulation codes are exactly the same, it is very hard to apply exactly the same approach to optimising a disparate range of codes. Indeed, it can be seen from that the codes investigated range in terms of performance and ability from well-optimised, highly parallelised codes, to serial or poorly performing codes. After analysing, optimising, and parallelising a range of codes it is, actually, possible to discern a number of distinct optimisation techniques or approaches/strategies that can be used to improve the performance or scaling of a parallel simulation code. This paper outlines the distinct approaches that we have identified, highlighting their benefits and drawbacks, giving an overview of the type of work that is often attempted for fusion simulation code optimisation. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3809800
- author
- Jackson, Adrian ; Reid, Fiona ; Booth, Stephen ; Hein, Joachim LU ; Westerholm, Jan ; Aspnäs, Mats ; Catala, Miquel and Soba, Alejandro
- organization
- publishing date
- 2011
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- optimisation, fusion, HPC, parallelisation
- host publication
- Parallel, Distributed and Network-Based Processing (PDP), 2011 19th Euromicro International Conference on
- editor
- Cotronis, Yiannis ; Danelutto, Marco and Papadopoulos, George Angelos
- pages
- 8 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2011)
- conference location
- Ayia Napa, Cyprus
- conference dates
- 2011-02-09 - 2011-02-11
- external identifiers
-
- scopus:79955012120
- ISBN
- 9781424496822 (print)
- DOI
- 10.1109/PDP.2011.15
- language
- English
- LU publication?
- yes
- id
- 7082b73d-2fb4-47d0-84fd-c61a619cd1c5 (old id 3809800)
- alternative location
- http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5739035
- date added to LUP
- 2016-04-04 12:24:01
- date last changed
- 2022-01-29 23:19:39
@inproceedings{7082b73d-2fb4-47d0-84fd-c61a619cd1c5,
abstract = {{We have previously documented the on-going work in the EUFORIA project to parallelise and optimise European fusion simulation codes, see. This involves working with a wide range of codes to try and address any performance and scaling issues that these codes have. However, as no two simulation codes are exactly the same, it is very hard to apply exactly the same approach to optimising a disparate range of codes. Indeed, it can be seen from that the codes investigated range in terms of performance and ability from well-optimised, highly parallelised codes, to serial or poorly performing codes. After analysing, optimising, and parallelising a range of codes it is, actually, possible to discern a number of distinct optimisation techniques or approaches/strategies that can be used to improve the performance or scaling of a parallel simulation code. This paper outlines the distinct approaches that we have identified, highlighting their benefits and drawbacks, giving an overview of the type of work that is often attempted for fusion simulation code optimisation.}},
author = {{Jackson, Adrian and Reid, Fiona and Booth, Stephen and Hein, Joachim and Westerholm, Jan and Aspnäs, Mats and Catala, Miquel and Soba, Alejandro}},
booktitle = {{Parallel, Distributed and Network-Based Processing (PDP), 2011 19th Euromicro International Conference on}},
editor = {{Cotronis, Yiannis and Danelutto, Marco and Papadopoulos, George Angelos}},
isbn = {{9781424496822 (print)}},
keywords = {{optimisation; fusion; HPC; parallelisation}},
language = {{eng}},
pages = {{357--364}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Parallel Optimisation Strategies for Fusion Codes}},
url = {{http://dx.doi.org/10.1109/PDP.2011.15}},
doi = {{10.1109/PDP.2011.15}},
year = {{2011}},
}