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• Содержание выпуска •
• Supercomputing Software and Hardware •
• Software and Hardware for Distributed Systems and Supercomputers •
• Mathematical Foundations of Programming •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
Software and Hardware for Distributed Systems and Supercomputers
Responsible for the Section: Sergei Abramov, Dr. Phys.-Math.Sci.,
corresponding member of RAS
On the left: assigned number of the paper, submission date, the number
of A5 pages contained in the paper,
and the reference to the full-text PDF
/r1/pdf.jpg) .
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Article # 13_2019
18
p.
/r1/pdf.jpg)
PDF |
submitted on 19th
Feb 2019 displayed on
website on 30th Sept
2019 A. A. Rybakov, S. S. Shumilin
Vectorization of the Riemann solver using the AVX-512 instruction
set
Numerical methods based on solving the Riemann
problem of the decay of an arbitrary discontinuity are extremely
demanding of computational resources. Applying the data of numerical
methods to modern computational grids requires the use of a
supercomputer. Among the various tools for improving the performance
of supercomputer applications, we can emphasize the vectorization of
program code. The AVX-512 instruction set has a number of unique
features allowing to apply vectorization to the Riemann solver
software context, which results in a significant acceleration of the
solver.
Key words: Riemann problem of the decay of an arbitrary
discontinuity, Riemann solver, AVX-512, KNL, vectorization,
intrinsic functions. |
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article citation |
http://psta.psiras.ru/read/psta2019_3_41-58.pdf |
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DOI |
https://doi.org/10.25209/2079-3316-2019-10-3-41-58 |
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Article # 14_2019
14
p.
PDF |
submitted on 19th
Feb 2019 displayed on
website on 30th Sept
2019 A. A. Rybakov, S. S. Shumilin
Vectorization of the Riemann solver using the AVX-512 instruction
set
Numerical methods based on solving the Riemann
problem of the decay of an arbitrary discontinuity are extremely
demanding of computational resources. Applying the data of numerical
methods to modern computational grids requires the use of a
supercomputer. Among the various tools for improving the performance
of supercomputer applications, we can emphasize the vectorization of
program code. The AVX-512 instruction set has a number of unique
features allowing to apply vectorization to the Riemann solver
software context, which results in a significant acceleration of the
solver. (in Russian)
Key words: Riemann problem of the decay of an arbitrary
discontinuity, Riemann solver, AVX-512, KNL, vectorization,
intrinsic functions. |
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article citation |
http://psta.psiras.ru/read/psta2019_3_59-80.pdf |
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DOI |
https://doi.org/10.25209/2079-3316-2019-10-3-59-80 |
• Содержание выпуска •
• Supercomputing Software and Hardware •
• Software and Hardware for Distributed Systems and Supercomputers •
• Mathematical Foundations of Programming •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
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