Cite this article:
Yao Huang, Bing-Jia Xiao, Zheng-Ping Luo. Fast parallel Grad-Shafranov solver for real-time equilibrium reconstruction in EAST tokamak using graphic processing unitJ. Chin. Phys. B, 2017, 26(8): 085204.
| Yao Huang, Bing-Jia Xiao, Zheng-Ping Luo. Fast parallel Grad-Shafranov solver for real-time equilibrium reconstruction in EAST tokamak using graphic processing unitJ. Chin. Phys. B, 2017, 26(8): 085204. |
Fast parallel Grad-Shafranov solver for real-time equilibrium reconstruction in EAST tokamak using graphic processing unit
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Abstract
To achieve real-time control of tokamak plasmas, the equilibrium reconstruction has to be completed sufficiently quickly. For the case of an EAST tokamak experiment, real-time equilibrium reconstruction is generally required to provide results within 1ms. A graphic processing unit (GPU) parallel Grad-Shafranov (G-S) solver is developed in P-EFIT code, which is built with the CUDATM architecture to take advantage of massively parallel GPU cores and significantly accelerate the computation. Optimization and implementation of numerical algorithms for a block tri-diagonal linear system are presented. The solver can complete a calculation within 16 μs with 65×65 grid size and 27 μs with 129×129 grid size, and this solver supports that P-EFIT can fulfill the time feasibility for real-time plasma control with both grid sizes. -
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