The novel implicit LU-SGS parallel iterative method based on the diffusion equation of a nuclear reactor on a GPU cluster

DOI10.1016/j.cpc.2016.07.014zbMath1376.82112OpenAlexW2463028578MaRDI QIDQ1686961

Yuyu Yin, Yongjian Ren, Chaoqun Sha, Jilin Zhang, Jian Wan, Li Zhou, Yusen Wu, Ya Jing, Hua-You Si

Publication date: 18 December 2017

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cpc.2016.07.014

zbMATH Keywords

CUDAreactorlower-upper symmetric Gauss-Seidel methodGPU parallel

Mathematics Subject Classification ID

Iterative numerical methods for linear systems (65F10) Parallel numerical computation (65Y05) Nuclear reactor theory; neutron transport (82D75) Numerical algorithms for specific classes of architectures (65Y10)

Uses Software

• CUDA

Cites Work

• Upwind differencing and LU factorization for chemical non-equilibrium Navier-Stokes equations
• Quantum dynamical semigroups and the neutron diffusion equation
• A new parallel Gauss-Seidel method based on alternating group explicit method and domain decomposition method
• A sequel to AUSM II: AUSM\(^+\)-up for all speeds

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