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Title of Article

Parallel LU-SGS method implementation for gas dynamics problems on GPU-accelerated computing systems


Issue
1
Date
2013

Section
INFORMATION TECHNOLOGIES

Article type
scientific article
UDC
519.612
Pages
213-218
Keywords
parallel algorithms, numerical methods in gas dynamics, LU-SGS, high performance computing, GP-GPU.


Authors
Pavlukhin Pavel Viktorovich
Moskovskiy gosuniversitet im. M.V. Lomonosova


Abstract
An effective algorithm for parallel computing gasdynamic flows using GPU-accelerated computing systems is proposed. The algorithm is based on an implicit scheme that leads to large-size linear systems with sparse matrices solved by the LU-SGS (Lower-Upper Symmetric Gauss-Seidel) approximate factorization method. The parallel algorithm duplicates exactly the work of a successive one and possesses a high level of scalability.

File (in Russian)