MFE Simulation Data Management

Slides:

Advertisements

Similar presentations

Progress and Plans on Magnetic Reconnection for CMSO For NSF Site-Visit for CMSO May1-2, Experimental progress [M. Yamada] -Findings on two-fluid.

Advertisements

Magnetic Turbulence in MRX (for discussions on a possible cross-cutting theme to relate turbulence, reconnection, and particle heating) PFC Planning Meeting.

Physics Basis of FIRE Next Step Burning Plasma Experiment Charles Kessel Princeton Plasma Physics Laboratory U.S.-Japan Workshop on Fusion Power Plant.

The Big Picture Scientific disciplines have developed a computational branch Models without closed form solutions solved numerically This has lead to.

Chalkidikhi Summer School Plasma turbulence in tokamaks: some basic facts… W.Fundamenski UKAEA/JET.

A Kinetic-Fluid Model for Studying Thermal and Fast Particle Kinetic Effects on MHD Instabilities C. Z. Cheng, N. Gorelenkov and E. Belova Princeton Plasma.

E D Fredrickson a, J Menard a, D. Stutman b, K. Tritz b a Princeton Plasma Physics Laboratory, NJ b Johns Hopkins University, MD 46 th Annual Meeting of.

Physics of fusion power Lecture 14: Collisions / Transport.

GTC Status: Physics Capabilities & Recent Applications Y. Xiao for GTC team UC Irvine.

Physics of fusion power Lecture 2: Lawson criterion / some plasma physics.

Physics of fusion power

Physics of fusion power Lecture 2: Lawson criterion / Approaches to fusion.

Center for Multi-scale Plasma Dynamics. Bill Dorland, Maryland.

Physics of fusion power Lecture 7: particle motion.

Physics of Fusion power Lecture4 : Quasi-neutrality Force on the plasma.

Tokamak GOLEM (for fusion education) Tokamak GOLEM just in operation (plasma in the chamber) major radius R = 0.4 m plasma current < 10 kA toroidal magnetic.

Presented by High-Performance Computing in Magnetic Fusion Energy Research Donald B. Batchelor RF Theory Plasma Theory Group Fusion Energy Division.

ADVANCED COMPUTATION IN PLASMA PHYSICS Forty-Third American Physical Society Division of Plasma Physics Annual Meeting Long Beach, California W. M. TANG.

Turbulent transport in collisionless plasmas: eddy mixing or wave-particle decorrelation? Z. Lin Y. Nishimura, I. Holod, W. L. Zhang, Y. Xiao, L. Chen.

Massively Parallel Magnetohydrodynamics on the Cray XT3 Joshua Breslau and Jin Chen Princeton Plasma Physics Laboratory Cray XT3 Technical Workshop Nashville,

Presented by XGC: Gyrokinetic Particle Simulation of Edge Plasma CPES Team Physics and Applied Math Computational Science.

Nonlinear Frequency Chirping of Alfven Eigenmode in Toroidal Plasmas Huasen Zhang 1,2 1 Fusion Simulation Center, Peking University, Beijing , China.

THE PROBLEM; THE SUCCESSES; THE CHALLENGES HPC Users Forum Houston, TX April 6, 2011 Lee A. Berry Colleagues and Collaborators special thanks.

A Metadata Based Approach For Supporting Subsetting Queries Over Parallel HDF5 Datasets Vignesh Santhanagopalan Graduate Student Department Of CSE.

Calculations of Gyrokinetic Microturbulence and Transport for NSTX and C-MOD H-modes Martha Redi Princeton Plasma Physics Laboratory Transport Task Force.

Hybrid Simulations of Energetic Particle-driven Instabilities in Toroidal Plasmas Guo-Yong Fu In collaboration with J. Breslau, J. Chen, E. Fredrickson,

Particle-in-Cell Simulations of Electron Transport from Plasma Turbulence: Recent Progress in Gyrokinetic Particle Simulations of Turbulent Plasmas Z.

TH/7-2 Radial Localization of Alfven Eigenmodes and Zonal Field Generation Z. Lin University of California, Irvine Fusion Simulation Center, Peking University.

Challenging problems in kinetic simulation of turbulence and transport in tokamaks Yang Chen Center for Integrated Plasma Studies University of Colorado.

Excitation of ion temperature gradient and trapped electron modes in HL-2A tokamak The 3 th Annual Workshop on Fusion Simulation and Theory, Hefei, March.

Presented by Gyrokinetic Particle Simulations of Fusion Plasmas Scott A. Klasky Scientific Computing National Center for Computational Sciences.

Physics Steven Gottlieb, NCSA/Indiana University Lattice QCD: focus on one area I understand well. A central aim of calculations using lattice QCD is to.

Physics of fusion power Lecture 3: Lawson criterion / Approaches to fusion.

Computational Plasma Physics: Examples from Turbulence Research W Dorland University of Maryland With images from: W M NevinsD Applegate G W HammettG D.

PEPSC Plan for Self-consistent Simulations of Fast Ion Transport with Source and Sink Guoyong Fu Princeton Plasma Physics Laboratory.

Evaluation of Modern Parallel Vector Architectures Leonid Oliker Future Technologies Group Computational Research Division LBNL

Towards Comprehensive Simulation of Fusion Plasmas Stephen C. Jardin Princeton University Plasma Physics Laboratory P.O. Box 451, Princeton, NJ Oct.

Tearing Parity Microturbulent Drift Modes on NSTX Martha Redi NSTX Results Review 9/21/04 W. Dorland, U. Maryland, J. Baumgaertel, U. Washington (SULI)

Fusion Fire Powers the Sun Can we make Fusion Fire on earth? National FIRE Collaboration AES, ANL, Boeing, Columbia U., CTD, GA, GIT, LLNL, INEEL, MIT,

F. Douglas Swesty, DOE Office of Science Data Management Workshop, SLAC March Data Management Needs for Nuclear-Astrophysical Simulation at the Ultrascale.

High Speed Imaging of Edge Turbulence in Magnetic

Hybrid MHD-Gyrokinetic Simulations for Fusion Reseach G. Vlad, S. Briguglio, G. Fogaccia Associazione EURATOM-ENEA, Frascati, (Rome) Italy Introduction.

SLM 2/29/2000 WAH 13 Mar NBI Driven Neoclassical Effects W. A. Houlberg ORNL K.C. Shaing, J.D. Callen U. Wis-Madison NSTX Meeting 25 March 2002.

N OVIMIR A. P ABLANT M. B ITTER, L.F. D ELGADO -A PARICIO, M. G OTO, K.W. H ILL, S. L AZERSON, S. M ORITA, L. R OQUEMORE N OVIMIR A. P ABLANT M. B ITTER,

J.-N. Leboeuf V.K. Decyk R.E. Waltz J. Candy W. Dorland Z. Lin S. Parker Y. Chen W.M. Nevins B.I. Cohen A.M. Dimits D. Shumaker W.W. Lee S. Ethier J. Lewandowski.

Laboratory Study of Spiky Potential Structures Associated with Multi- Harmonic EIC Waves Robert L. Merlino and Su-Hyun Kim University of Iowa Guru Ganguli.

LCSE – NCSA Partnership Accomplishments, FY01 Paul R. Woodward Laboratory for Computational Science & Engineering University of Minnesota October 17, 2001.

QAS Design of the DEMO Reactor

May 22, 2003Plasma Microturbulence Project1 Microturbulence in Fusion Plasmas W.M. Nevins and B.I. Cohen ( ) For the Plasma Microturbulence Project.

Summary of IAEA Theory Papers on Energetic Particle Physics Guoyong Fu.

Presented by High Performance Computing in Magnetic Fusion Energy Research Donald B. Batchelor RF Theory Plasma Theory Group Fusion Energy Division.

Electrostatic fluctuations at short scales in the solar-wind turbulent cascade. Francesco Valentini Dipartimento di Fisica and CNISM, Università della.

Nonlinear Simulations of Energetic Particle-driven Modes in Tokamaks Guoyong Fu Princeton Plasma Physics Laboratory Princeton, NJ, USA In collaboration.

Kinetic-Fluid Model for Modeling Fast Ion Driven Instabilities C. Z. Cheng, N. Gorelenkov and E. Belova Princeton Plasma Physics Laboratory Princeton University.

Simulation of Turbulence in FTU M. Romanelli, M De Benedetti, A Thyagaraja* *UKAEA, Culham Sciance Centre, UK Associazione.

Presented by Yuji NAKAMURA at US-Japan JIFT Workshop “Theory-Based Modeling and Integrated Simulation of Burning Plasmas” and 21COE Workshop “Plasma Theory”

Implementation of a 3D halo neutral model in the TRANSP code and application to projected NSTX-U plasmas S. S. Medley 1, D. Liu 2, M. V. Gorelenkova 1,

Gyrokinetic Calculations of Microturbulence and Transport for NSTX and Alcator C-MOD H-modes Martha Redi Princeton Plasma Physics Laboratory NSTX Physics.

Energetic ion excited long-lasting “sword” modes in tokamak plasmas with low magnetic shear Speaker:RuiBin Zhang Advisor:Xiaogang Wang School of Physics,

Application of Advanced Scientific Computing to IPELS Physics Issues IPELS 2007 Conference Cairns, Australia August 7, 2007 William M. Tang Princeton University.

Unstructured Meshing Tools for Fusion Plasma Simulations

Neoclassical Predictions of ‘Electron Root’ Plasmas at HSX

An overview of turbulent transport in tokamaks

Tools and Services Workshop

Field-Particle Correlation Experiments on DIII-D Frontiers Science Proposal Under weakly collisional conditions, collisionless interactions between electromagnetic.

Condensed Matter Physics and Materials Science: David M

Investigation of triggering mechanisms for internal transport barriers in Alcator C-Mod K. Zhurovich C. Fiore, D. Ernst, P. Bonoli, M. Greenwald, A. Hubbard,

Physics of fusion power

TeraScale Supernova Initiative

Validation of theory based transport models

Presentation transcript:

MFE Simulation Data Management SLAC DMW 2004 March 16, 2004 W. W. Lee and S. Klasky Princeton Plasma Physics Laboratory Princeton, NJ

• Huge range of spatial and temporal scales. Spatial & Temporal Scales Present Major Challenge to Theory & Simulations 10-6 10-4 10-2 100 102 Spatial Scales (m) electron gyroradius Debye length ion gyroradius tearing length skin depth system size atomic mfp electron-ion mfp 10-10 10-5 105 Temporal Scales (s) electron gyroperiod electron collision ion gyroperiod Ion collision inverse electron plasma frequency confinement Inverse ion plasma frequency current diffusion pulse length • Huge range of spatial and temporal scales. • Overlap in scales often means strong (simplified) ordering not possible Different codes/theory for different scales. 5+years: Integration of physics into Fusion Simulation Project

Major Fusion Codes

Data Rates of Major Fusion Codes (GB) now / 5yr Runtime now/5yr (hr) Processors Now/5yr Mbs GTC 4,000 / 100,000 300/150 2048 80/ 1600 Gyro 10 / 100 30/30 512/2048 .8/ 8 GS2 .8 / 8 Degas2 .1 1 10 .2 Transp .05 3 .04 Nimrod 5/ 50 20/20 128 .6/ 6 M3D 1.1/ 11 NSTX .25/shot 1/ 4 0.25 * 40 9, 36 Total (TB) 4.3 / 101

Plasma Turbulence Simulation • Gyrokinetic Particle-In-Cell Simulation -- Reduced Vlasov-Maxwell Equations • Simulations on MPP Platforms -- Cray T3E & IBM SP (NERSC), Cray-X1 (ORNL), SX6 (Earth Simulator, Japan) • Simulation of Burning Plasmas -- International Tokamak Experimental Reactor (ITER) • Integrated Fusion Simulation Project (MFE) • Visualization -- turbulence evolution & particle orbits

Gyrokinetic Approximation Gyromotion Polarization provides quasineutrality [W. W. Lee, PF ‘83; JCP ‘87]

18% 10 (Ethier) Earth Simulator

Ion Temperature Gradient Driven Turbulence Particle Trajectories Electrostatic Potential

Data Management challenges GTC is producing TBs of data Data rates: 80Mbs now, 1.6Gbs 5 years. Need QOS to stream data. This data needs to be post-processed Essential to parallelize the post-processing routines to handle our larger datasets. We need a cluster to post process this data. M (supercomputer processors) x N (cluster processors) problem. QOS becomes more important to sustain this post-processing. The post-processed data needs to be shared among collaborators Different sections of the post-processed data may go to different users . Post-processed data, along with other metadata should be archived into a relational database.

Post processing of GTC Data. Particle Data No compression possible. Sent to 1 cluster for visualization/analysis. Work being done with K. Ma, U.C. Davis: Visualize a million particles. Gain new insights into the theory. Field Data Geometric/Temporal compression of the data is possible. Data needs to be streamed to a local cluster at PPPL. Reduced subset needs to be sent to PPPL + collaborators. Use Logistic Network. [Beck, UT-K] Data transfer needs to be automatic, and integrated into a dataflow/webflow for use with parallel analysis routines. We desire to see post-processed data during the simulation.

After the analysis Post-processed data needs to be saved into a relational database How do we query this abstract data to compare it with experiments? 3D correlation functions Processing of TBs of data/run now, 100’s of TBs of data/run in 5 years. Data mining techniques will be necessary to understand this data.