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 inComputational mathematics and mathematical physics Vol. 53; no. 8; pp. 1183 - 1194
Main Authors Bogdanov, P. B., Gorobets, A. V., Sukov, S. A.
Format Journal Article
LanguageEnglish
Published Boston Springer US 01.08.2013
Springer Nature B.V
Subjects
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ISSN0965-5425
1555-6662
DOI10.1134/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.
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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CitedBy_id crossref_primary_10_1016_j_compfluid_2018_03_011
crossref_primary_10_1134_S0965542515040065
crossref_primary_10_1134_S2070048218020138
crossref_primary_10_1134_S1064562418060194
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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Title Adaptation and optimization of basic operations for an unstructured mesh CFD algorithm for computation on massively parallel accelerators
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