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Plasma Edge Kinetic-MHD Modeling in Tokamaks Using Kepler Workflow for Code Coupling,Data Management and Visualization

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Communications in Computational Physics 2008年第8期4卷 675-702页

作者： J.Cummings A.Pankin n.podhorszki G.Park S.Ku R.Barreto S.Klasky C.S.Chang H.Strauss L.Sugiyama P.Snyder D.Pearlstein B.Ludascher G.Bateman A.Kritz the CPES Team California Institute of Technology PasadenaCA 91125 Lehigh University BethlehemPA 18015 University of California at Davis DavisCA 95616 Courant Institute of Mathematical Sciences New York UniversityNY 10012 Oak Ridge national Laboratory Oak RidgeTN 37830 Massachusetts Institute of Technology CambridgeMA 02139 General Atomics San DiegoCA 92186 Lawrence Livermore national Laboratory LivermoreCA 94550 SciDAC FSP Center for Plasma Edge Simulation

A new predictive computer simulation tool targeting the development of the H-mode pedestal at the plasma edge in tokamaks and the triggering and dynamics of edge localizedmodes(ELMs)is presented in this *** tool brings together,in a coordinated and effective manner,several first-principles physics simulation codes,stability analysis packages,and data processing and visualization tools.A Kepler workflow is used in order to carry out an edge plasma simulation that loosely couples the kinetic code,XGC0,with an ideal MHD linear stability analysis code,ELITE,and an extended MHD initial value code such as M3D or ***0 includes the neoclassical ion-electron-neutral dynamics needed to simulate pedestal growth near the *** Kepler workflow processes the XGC0 simulation results into simple images that can be selected and displayed via the Dashboard,a monitoring tool implemented in AJAX allowing the scientist to track computational resources,examine running and archived jobs,and view key physics data,all within a standard Web *** XGC0 simulation is monitored for the conditions needed to trigger an ELM crash by periodically assessing the edge plasma pressure and current density profiles using the ELITE *** an ELM crash is triggered,the Kepler workflow launches the M3D code on a moderate-size Opteron cluster to simulate the nonlinear ELM crash and to compute the relaxation of plasma profiles after the *** process is monitored through periodic outputs of plasma fluid quantities that are automatically visualized with AVS/Express and may be displayed on the ***,the Kepler workflow archives all data outputs and processed images using HPSS,as well as provenance information about the software and hardware used to create the *** complete process of preparing,executing and monitoring a coupled-code simulation of the edge pressure pedestal buildup and the ELM cycle using the Kepler scientific workflow system is described

关键词： Plasma simulation magnetohydrodynamic and fluid equation gyrofluid and gyrokinetic simulations hybrid methods

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Simulation of Fusion Plasmas:Current Status and Future Direction

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Plasma Science and Technology 2007年第3期9卷 312-387页

作者： D.A.Batchelor M.Beck A.Becoulet R.V.Budny C.S.Chang P.H.Diamond J.Q.Dong G.Y.FU A.Fukuyama T.S.Hahm D.E.Keyes Y.Kishimoto S.Klasky L.L.Lao K.Li Z.Lin B.Ludaescher J.Manickam n.nakajima T.Ozeki n.podhorszki W.M.Tang M.A.Vouk R.E.Waltz S.J.Wang H.R.Wilson X.Q.Xu M.Yagi F.Zonca Oak Ridge national Laboratory Oak RidgeTN 37831USA 1122 Volunteer Blvd Suite 203KnoxvilleTN 37996-3450USA AssociationEURATOM-CEA sur la Fusio n Contr■lée CEA Cadarache13108 Saint Paul lez Durance CedexFrance Princeton Plasma Physics Laboratory Princeton UniversityPrincetonNJ 08543USA Courant Institute of Mathematical Sciences New York University251 Mercer StreetNew YorkNY 10012USA University of California at San Diego Dept.of Physics and Center for Astrophysics and Space SciencesLa JollaCA 92093USA Southwestern Institute of Physics Chengdu 610041China Department of nuclear Engineering Kyoto UniversityKyoto 606-8501Japan Columbia University Department of Applied Physics and Applied MathematicsMC 4701New YorkNY 10027USA Department of Fundamental Energy Science Graduate School of Energy ScienceKyoto UniversityGokashoUjiKyoto 611-0011Japan General Atomics P.O.Box 85608San DiegoCA 92186USA Department of Computer Science Princeton University PrincetonNJ 08544USA Department of Physics and Astronomy University of CaliforniaIrvineCA 92697USA Department of Computer Science University of California DavisCA95616USA national Institute for Fusion Science TokiGifu 509-5292Japan Japan Atomic Energy Agency Naka Fusion Research EstablishmentNaka-machiIbaraki-kenJapan Department of Computer Science North Carolina State UniversityRaleighNC 27695USA Department of Physics Fudan University200433 ShanghaiChina Department of Physics University of YorkHeslingtonYork YO10 5DD UK Lawrence Livermore national Laboratory LivermoreCA 94550USA Research Institute for Applied Mechanics Kyushu UniversityKasuga 816-8580Japan Associazione Euratom-EnEA sulla fusione CR FrascatiCasella Postale 65-00044FrascatiItaly

I. Introduction (Z. Lin, G. Y. Fu, J. Q. Dong) II. Role of theory and simulation in fusion sciences 1. The Impact of theory and simulation on tokomak experiments (H. R. Wilson, T.S. Hahm and F. Zonca) 2. Tokomak Transport Physics for the Era of ITER: Issues for Simulations (P.H. Diamond and T.S. Hahm) III. Status of fusion simulation and modeling 1. nonlinear Governing Equations for Plasma Simulations (T. S. Hahm) 2. Equilibrium and stability (L.L. Lao, J. Manickam) 3. Transport modeling (R.E. Waltz) 4. nonlinear MHD (G.Y. Fu) 5. Turbulence (Z. Lin and R.E. Waltz) 6. RF heating and current drive (D.A. Batchelor) 7. Edge physics Simulations (X.Q. Xu and C.S. Chang) 8. Energetic particle physics (F. Zonca, G.Y. Fu and S.J. Wang) 9. Time-dependent Integrated Modeling (R.V. Budny) 10. Validation and verification (J. Manickam) IV. Major initiatives on fusion simulation 1. US Scientific Discovery through Advanced Computing (SciDAC) Program & Fusion Energy Science (W. Tang) 2. EU Integrated Tokamak Modelling (ITM) Task Force (A. Becoulet) 3. Fusion Simulations Activities in Japan (A. Fukuyama, n. nakajima, Y. Kishimoto, T. Ozeki, and M. Yagi) V. Cross-disciplinary research in fusion simulation 1. Applied mathematics: Models, Discretizations, and Solvers (D.E. Keyes) 2. Computational Science (K. Li) 3. Scientific Data and Workflow Management (S. Klasky, M. Beck, B. Ludaescher, n. podhorszki, M.A. Vouk) 4. Collaborative tools (J. Manickam)

关键词： mode ITER

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A Data Analysis Framework for Earth System Simulation within an <i>In-Situ</i>Infrastructure

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Journal of Computer and Communications 2017年第14期5卷 76-85页

作者： D. Wang X. Luo F. Yuan n. podhorszki Environmental Science Division Oak Ridge National Laboratory Oak Ridge TN USA Department of Computer Science and Electric Engineering University of Tennessee Knoxville TN USA Computer Science and Mathematics Division Oak Ridge National Laboratory Oak Ridge TN USA

This paper presents a generic procedure to implement a scalable and high performance data analysis framework for large-scale scientific simulation within an in-situ infrastructure. It demonstrates a unique capability for global Earth system simulations using advanced computing technologies (i.e., automated code analysis and instrumentation), in-situ infrastructure (i.e., ADIOS) and big data analysis engines (i.e., SciKit-learn). This paper also includes a useful case that analyzes a globe Earth System simulations with the integration of scalable in-situ infrastructure and advanced data processing package. The in-situ data analysis framework can provides new insights on scientific discoveries in multiscale modeling paradigms.

关键词： In-Situ Data Analysis Source Code Analysis Data Staging ADIOS Earth System Model Machine Learning SciKit-Learn E3SM

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