GPU-optimized fast plasma equilibrium reconstruction in fine grids for real-time control and data analysis
文献类型：期刊论文
| 作者 | Huang, Y.6 ; Luo, Z. P.6; Xiao, B. J.3,6; Lao, L. L.4; Mele, A.2; Pironti, A.2,5; Mattei, M.1,2; Ambrosino, G.2; Yuan, Q. P.6; Wang, Y. H.6
|
| 刊名 | NUCLEAR FUSION
 |
| 出版日期 | 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. |
| WOS关键词 | TOKAMAK ; PROFILE |
| 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研究方向 | Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000544622300001 |
| 出版者 | IOP PUBLISHING LTD |
| 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 |
| 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.Univ Campania L Vanvitelli, Dept Engn, Caserta, Italy 2.CREATE Consortium, Naples, Italy 3.Univ Sci & Technol China, Sch Nucl Sci & Technol, Hefei, Peoples R China 4.Gen Atom, San Diego, CA USA 5.Univ Napoli Federico II, Dept Elect Engn & Informat Technol, Naples, Italy 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). |
入库方式： OAI收割
来源：合肥物质科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。