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OpenSBLI: a framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures

OpenSBLI: a framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures
OpenSBLI: a framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures
Exascale computing will feature novel and potentially disruptive hardware architectures. Exploiting these to their full potential is non-trivial. Numerical modelling frameworks involving finite difference methods are currently limited by the 'static' nature of the hand-coded discretisation schemes and repeatedly may have to be re-written to run efficiently on new hardware. In contrast, OpenSBLI uses code generation to derive the model's code from a high-level specification. Users focus on the equations to solve, whilst not concerning themselves with the detailed implementation. Source-to-source translation is used to tailor the code and enable its execution on a variety of hardware.
1877-7503
12-23
Jacobs, Christian
0ffde78b-6ae2-4b44-a916-666f6be2b92c
Jammy, Satya
5267fe44-6c22-473c-b9f0-8e1df884fada
Sandham, Neil
0024d8cd-c788-4811-a470-57934fbdcf97
Jacobs, Christian
0ffde78b-6ae2-4b44-a916-666f6be2b92c
Jammy, Satya
5267fe44-6c22-473c-b9f0-8e1df884fada
Sandham, Neil
0024d8cd-c788-4811-a470-57934fbdcf97

Jacobs, Christian, Jammy, Satya and Sandham, Neil (2017) OpenSBLI: a framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures. Journal of Computational Science, 18, 12-23. (doi:10.1016/j.jocs.2016.11.001).

Record type: Article

Abstract

Exascale computing will feature novel and potentially disruptive hardware architectures. Exploiting these to their full potential is non-trivial. Numerical modelling frameworks involving finite difference methods are currently limited by the 'static' nature of the hand-coded discretisation schemes and repeatedly may have to be re-written to run efficiently on new hardware. In contrast, OpenSBLI uses code generation to derive the model's code from a high-level specification. Users focus on the equations to solve, whilst not concerning themselves with the detailed implementation. Source-to-source translation is used to tailor the code and enable its execution on a variety of hardware.

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More information

Accepted/In Press date: 8 November 2016
e-pub ahead of print date: 27 November 2016
Published date: January 2017
Organisations: Aerodynamics & Flight Mechanics Group

Identifiers

Local EPrints ID: 402534
URI: http://eprints.soton.ac.uk/id/eprint/402534
ISSN: 1877-7503
PURE UUID: ec17c378-c92a-4038-8aad-b3ea5b25d29b
ORCID for Christian Jacobs: ORCID iD orcid.org/0000-0002-0034-4650
ORCID for Satya Jammy: ORCID iD orcid.org/0000-0002-8099-8573
ORCID for Neil Sandham: ORCID iD orcid.org/0000-0002-5107-0944

Catalogue record

Date deposited: 11 Nov 2016 11:53
Last modified: 16 Mar 2024 03:03

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Contributors

Author: Christian Jacobs ORCID iD
Author: Satya Jammy ORCID iD
Author: Neil Sandham ORCID iD

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