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...
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| Veröffentlicht in: | arXiv.org 2016-11 |
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| creator | Jacobs, Christian T Jammy, Satya P Sandham, Neil D |
| description | 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. |
| doi_str_mv | 10.48550/arxiv.1609.01277 |
| format | Article |
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| subjects | Computer Science - Mathematical Software Computer Science - Software Engineering Computer Science - Symbolic Computation Finite difference method Hardware Mathematical analysis Mathematical models Physics - Computational Physics Solvers |
| title | OpenSBLI: A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures |
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