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

Christian T. Jacobs, Satya P. Jammy, Neil D. Sandham
Aerodynamics and Flight Mechanics Group, Faculty of Engineering and the Environment, University of Southampton, University Road, Southampton, SO17 1BJ, United Kingdom
arXiv:1609.01277 [cs.MS], (5 Sep 2016)
@article{jacobs2016opensbli,

   title={OpenSBLI: A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures},

   author={Jacobs, Christian T. and Jammy, Satya P. and Sandham, Neil D.},

   year={2016},

   month={sep},

   archivePrefix={"arXiv"},

   primaryClass={cs.MS}

}

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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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