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Automated finite difference modelling on structured grids, and a variety of compute architectures

Automated finite difference modelling on structured grids, and a variety of compute architectures
Automated finite difference modelling on structured grids, and a variety of compute architectures
The path to exascale computational fluid dynamics requires novel and disruptive hardware architectures that are more powerful than ever. Unfortunately, most numerical modelling frameworks are not in a position to readily exploit such architectures to their full potential. The 'static' nature of the hand-coded discretisation schemes in languages such as C or Fortran means that entire codebases often have to undergo non-trivial modifications in order to run efficiently on more exotic compute platforms such as GPUs and the recently-introduced Intel Xeon Phi cards. This places a huge unsustainable burden on computational scientists to not only be domain specialists, but also experts in numerical methods, parallel computing paradigms, and their efficient implementation. This work introduces a new framework, OpenSBLI, which unlike the majority of existing finite difference models, allows users to specify the equations they want to solve in Einstein notation, and details of the numerical methods, at an abstract level. From this specification, the C code that performs the discretisation is automatically generated. By coupling with the OPS execution framework, the generated code is then tailored towards a desired backend to enable the efficient execution of the model on a wide variety of compute hardware
Jammy, Satya
5267fe44-6c22-473c-b9f0-8e1df884fada
Jacobs, Christian
0ffde78b-6ae2-4b44-a916-666f6be2b92c
Sandham, Neil
0024d8cd-c788-4811-a470-57934fbdcf97
Jammy, Satya
5267fe44-6c22-473c-b9f0-8e1df884fada
Jacobs, Christian
0ffde78b-6ae2-4b44-a916-666f6be2b92c
Sandham, Neil
0024d8cd-c788-4811-a470-57934fbdcf97

Jammy, Satya, Jacobs, Christian and Sandham, Neil (2016) Automated finite difference modelling on structured grids, and a variety of compute architectures. UK Fluids Conference 2016, London, United Kingdom. 07 - 09 Sep 2016. 15 pp . (In Press)

Record type: Conference or Workshop Item (Other)

Abstract

The path to exascale computational fluid dynamics requires novel and disruptive hardware architectures that are more powerful than ever. Unfortunately, most numerical modelling frameworks are not in a position to readily exploit such architectures to their full potential. The 'static' nature of the hand-coded discretisation schemes in languages such as C or Fortran means that entire codebases often have to undergo non-trivial modifications in order to run efficiently on more exotic compute platforms such as GPUs and the recently-introduced Intel Xeon Phi cards. This places a huge unsustainable burden on computational scientists to not only be domain specialists, but also experts in numerical methods, parallel computing paradigms, and their efficient implementation. This work introduces a new framework, OpenSBLI, which unlike the majority of existing finite difference models, allows users to specify the equations they want to solve in Einstein notation, and details of the numerical methods, at an abstract level. From this specification, the C code that performs the discretisation is automatically generated. By coupling with the OPS execution framework, the generated code is then tailored towards a desired backend to enable the efficient execution of the model on a wide variety of compute hardware

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More information

Accepted/In Press date: May 2016
Venue - Dates: UK Fluids Conference 2016, London, United Kingdom, 2016-09-07 - 2016-09-09
Organisations: Aerodynamics & Flight Mechanics Group

Identifiers

Local EPrints ID: 402544
URI: http://eprints.soton.ac.uk/id/eprint/402544
PURE UUID: 82747425-50c0-4ef1-9d7d-39ee2871dd59
ORCID for Satya Jammy: ORCID iD orcid.org/0000-0002-8099-8573
ORCID for Christian Jacobs: ORCID iD orcid.org/0000-0002-0034-4650
ORCID for Neil Sandham: ORCID iD orcid.org/0000-0002-5107-0944

Catalogue record

Date deposited: 10 Nov 2016 14:35
Last modified: 16 Mar 2024 03:03

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Contributors

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

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