Adaptation and optimization of basic operations for an unstructured mesh CFD algorithm for computation on massively parallel accelerators
The design of efficient algorithms for large-scale gas dynamics computations with hybrid (heterogeneous) computing systems whose high performance relies on massively parallel accelerators is addressed. A high-order accurate finite volume algorithm with polynomial reconstruction on unstructured hybri...
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          | Published in | Computational mathematics and mathematical physics Vol. 53; no. 8; pp. 1183 - 1194 | 
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| Main Authors | , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Boston
          Springer US
    
        01.08.2013
     Springer Nature B.V  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 0965-5425 1555-6662  | 
| DOI | 10.1134/S0965542513080046 | 
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| Abstract | The design of efficient algorithms for large-scale gas dynamics computations with hybrid (heterogeneous) computing systems whose high performance relies on massively parallel accelerators is addressed. A high-order accurate finite volume algorithm with polynomial reconstruction on unstructured hybrid meshes is used to compute compressible gas flows in domains of complex geometry. The basic operations of the algorithm are implemented in detail for massively parallel accelerators, including AMD and NVIDIA graphics processing units (GPUs). Major optimization approaches and a computation transfer technique are covered. The underlying programming tool is the Open Computing Language (OpenCL) standard, which performs on accelerators of various architectures, both existing and emerging. | 
    
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| AbstractList | The design of efficient algorithms for large-scale gas dynamics computations with hybrid (heterogeneous) computing systems whose high performance relies on massively parallel accelerators is addressed. A high-order accurate finite volume algorithm with polynomial reconstruction on unstructured hybrid meshes is used to compute compressible gas flows in domains of complex geometry. The basic operations of the algorithm are implemented in detail for massively parallel accelerators, including AMD and NVIDIA graphics processing units (GPUs). Major optimization approaches and a computation transfer technique are covered. The underlying programming tool is the Open Computing Language (OpenCL) standard, which performs on accelerators of various architectures, both existing and emerging. [PUBLICATION ABSTRACT] The design of efficient algorithms for large-scale gas dynamics computations with hybrid (heterogeneous) computing systems whose high performance relies on massively parallel accelerators is addressed. A high-order accurate finite volume algorithm with polynomial reconstruction on unstructured hybrid meshes is used to compute compressible gas flows in domains of complex geometry. The basic operations of the algorithm are implemented in detail for massively parallel accelerators, including AMD and NVIDIA graphics processing units (GPUs). Major optimization approaches and a computation transfer technique are covered. The underlying programming tool is the Open Computing Language (OpenCL) standard, which performs on accelerators of various architectures, both existing and emerging.  | 
    
| Author | Sukov, S. A. Gorobets, A. V. Bogdanov, P. B.  | 
    
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| Cites_doi | 10.1109/MM.2008.57 10.1016/j.compfluid.2011.10.011 10.1016/0021-9991(81)90128-5 10.1007/978-3-642-11515-8_10 10.1016/j.simpat.2012.03.004 10.1016/j.compfluid.2012.01.021 10.1016/j.compfluid.2012.02.013  | 
    
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| SubjectTerms | Accelerators Adaptation Algebra Algorithms Applied mathematics Computation Computational mathematics Computational Mathematics and Numerical Analysis Dynamical systems Finite volume method Gas dynamics Geometry Linear equations Mathematical models Mathematics Mathematics and Statistics Optimization Physics Simulation Sparsity Studies Supercomputers  | 
    
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