GPU-optimized fast plasma equilibrium reconstruction in fine grids for real-time control and data analysis

doi:10.1088/1741-4326/ab91f8

	GPU-optimized fast plasma equilibrium reconstruction in fine grids for real-time control and data analysis
	Huang, Y.6; Luo, Z. P.6; Xiao, B. J.5,6; Lao, L. L.4; Mele, A.1; Pironti, A.1,3; Mattei, M.1,2; Ambrosino, G.1; Yuan, Q. P.6; Wang, Y. H.6
刊名	NUCLEAR FUSION
	2020-07-01
卷号	60
关键词	equilibrium reconstruction plasma control EAST ITER DIII-D GPU parallel computation
ISSN号	0029-5515
DOI	10.1088/1741-4326/ab91f8
通讯作者	Huang, Y.(yaohuang@ipp.ac.cn)
英文摘要	P-EFIT, a GPU parallel equilibrium reconstruction code, is based on the EFIT framework, but built with the CUDA (TM) (Compute Unified Device Architecture) to take advantage of massively parallel Graphical Processing Unit (GPU) cores to significantly accelerate the computation. With the parallelized Grad-Shafranov solver and middle-scale matrix calculation modules, P-EFIT can accurately reproduce the EFIT reconstruction algorithms at a fraction of the EFIT computational time. Integrated into EAST plasma control system, P-EFIT not only provides control signal results but also enhances EAST plasma control capacity with unique designed function modules. Using the synthetic magnetic diagnostic signals from ITER plasma equilibria obtained by the CREATE-L and CREATE-NL codes in standalone and streaming mode, P-EFIT has good enough accuracy and time latency performance in most of the considered cases. P-EFIT achieves full kinetic equilibrium reconstruction algorithms and repeats the EFIT results with the DIII-D internal plasma current and kinetic profile measurements in one-percent cost time of EFIT. All these works suggest that P-EFIT can provide quality magnetic equilibrium reconstruction in real-time, offer full kinetic equilibrium reconstruction with high spatial resolution and high speed, support more detailed, better plasma control and data analysis for tokamak devices.
资助项目	National MCF Energy R&D Program of China[2018YFE0302100] ; National Natural Science Foundation of China[11805236] ; National Natural Science Foundation of China[11875291] ; National Natural Science Foundation of China[11575245] ; US DOE[DE-FC02-04ER54698] ; Euratom research and training programme 2014-2018[633053] ; Fusion for Energy[F4E-OPE-0883] ; Euratom research and training programme 2019-2020[633053]
WOS关键词	TOKAMAK ; PROFILE
WOS研究方向	Physics
语种	英语
出版者	IOP PUBLISHING LTD
WOS记录号	WOS:000544622300001
资助机构	National MCF Energy R&D Program of China ; National Natural Science Foundation of China ; US DOE ; Euratom research and training programme 2014-2018 ; Fusion for Energy ; Euratom research and training programme 2019-2020
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/71051]
专题	中国科学院合肥物质科学研究院
通讯作者	Huang, Y.
作者单位	1.CREATE Consortium, Naples, Italy 2.Univ Campania L Vanvitelli, Dept Engn, Caserta, Italy 3.Univ Napoli Federico II, Dept Elect Engn & Informat Technol, Naples, Italy 4.Gen Atom, San Diego, CA USA 5.Univ Sci & Technol China, Sch Nucl Sci & Technol, Hefei, Peoples R China 6.Chinese Acad Sci, Inst Plasma Phys, Hefei, Peoples R China
推荐引用方式 GB/T 7714	Huang, Y.,Luo, Z. P.,Xiao, B. J.,et al. GPU-optimized fast plasma equilibrium reconstruction in fine grids for real-time control and data analysis[J]. NUCLEAR FUSION,2020,60.
APA	Huang, Y..,Luo, Z. P..,Xiao, B. J..,Lao, L. L..,Mele, A..,...&Bao, N. N..(2020).GPU-optimized fast plasma equilibrium reconstruction in fine grids for real-time control and data analysis.NUCLEAR FUSION,60.
MLA	Huang, Y.,et al."GPU-optimized fast plasma equilibrium reconstruction in fine grids for real-time control and data analysis".NUCLEAR FUSION 60(2020).