1 1  Capabilities: Building blocks for block-structured AMR codes for solving time-dependent PDE’s Functionality for [1…6]D, mixed-dimension building.

Slides:



Advertisements
Similar presentations
CHAPTER 1: COMPUTATIONAL MODELLING
Advertisements

Parallel Computation of the 2D Laminar Axisymmetric Coflow Nonpremixed Flames Qingan Andy Zhang PhD Candidate Department of Mechanical and Industrial Engineering.
Advanced CFD Analysis of Aerodynamics Using CFX
1 1 Capabilities: Suite of time integrators and nonlinear solvers  ODE integrators: (CVODE) variable order and step stiff BDF and non-stiff Adams, (ARKode)
Chombo: An HPC Toolkit for Adaptive Mesh Refinement Applications Brian Van Straalen Applied Numerical Algorithms Group Lead Software Developer for Chombo.
Parallelizing stencil computations Based on slides from David Culler, Jim Demmel, Bob Lucas, Horst Simon, Kathy Yelick, et al., UCB CS267.
Extending the capability of TOUGHREACT simulator using parallel computing Application to environmental problems.
Phil’s Promised Presentation on POP’s Present Progress, Performance and Penultimate Post-present Plan POP People P. Malone, P. Smith, P. Maltrud, P. Jones,
ASCI/Alliances Center for Astrophysical Thermonuclear Flashes Simulating Self-Gravitating Flows with FLASH P. M. Ricker, K. Olson, and F. X. Timmes Motivation:
Exploring Communication Options with Adaptive Mesh Refinement Courtenay T. Vaughan, and Richard F. Barrett Sandia National Laboratories SIAM Computational.
AstroBEAR Finite volume hyperbolic PDE solver Discretizes and solves equations of the form Solves hydrodynamic and MHD equations Written in Fortran, with.
The Poisson operator, aka the Laplacian, is a second order elliptic differential operator and defined in an n-dimensional Cartesian space by: The Poisson.
Parallel Decomposition-based Contact Response Fehmi Cirak California Institute of Technology.
I/O Optimization for ENZO Cosmology Simulation Using MPI-IO Jianwei Li12/06/2001.
An Introduction to Breakdown Simulations With PIC Codes C. Nieter, S.A. Veitzer, S. Mahalingam, P. Stoltz Tech-X Corporation MTA RF Workshop 2008 Particle-in-Cell.
SSL (UC Berkeley): Prospective Codes to Transfer to the CCMC Developers: W.P. Abbett, D.J. Bercik, G.H. Fisher, B.T. Welsch, and Y. Fan (HAO/NCAR)
E. WES BETHEL (LBNL), CHRIS JOHNSON (UTAH), KEN JOY (UC DAVIS), SEAN AHERN (ORNL), VALERIO PASCUCCI (LLNL), JONATHAN COHEN (LLNL), MARK DUCHAINEAU.
Module on Computational Astrophysics Jim Stone Department of Astrophysical Sciences 125 Peyton Hall : ph :
Brookhaven Science Associates U.S. Department of Energy MUTAC Review March 16-17, 2006, FNAL, Batavia, IL Target Simulations Roman Samulyak Computational.
Support for Adaptive Computations Applied to Simulation of Fluids in Biological Systems Immersed Boundary Method Simulation in Titanium.
The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL Introduction to Modeling Fluid Dynamics 1.
Kathy Yelick, 1 Advanced Software for Biological Simulations Elastic structures in an incompressible fluid. Blood flow, clotting, inner ear, embryo growth,
Numerical study of the blade cooling effect generated by multiple jets issuing at different angles and speed into a compressible horizontal cross flow.
Present and Future Computing Requirements for Simulation and Analysis of Reacting Flow John Bell CCSE, LBNL NERSC ASCR Requirements for 2017 January 15,
Michael L. Norman, UC San Diego and SDSC
Lecture Objectives: Review discretization methods for advection diffusion equation Accuracy Numerical Stability Unsteady-state CFD Explicit vs. Implicit.
1 Data Structures for Scientific Computing Orion Sky Lawlor charm.cs.uiuc.edu 2003/12/17.
Scalable Algorithms for Structured Adaptive Mesh Refinement Akhil Langer, Jonathan Lifflander, Phil Miller, Laxmikant Kale Parallel Programming Laboratory.
S.S. Yang and J.K. Lee FEMLAB and its applications POSTEC H Plasma Application Modeling Lab. Oct. 25, 2005.
Martin Berzins (Steve Parker) What are the hard apps problems? How do the solutions get shared? What non-apps work is needed? Thanks to DOE for funding.
Simulation Technology & Applied Research, Inc N. Port Washington Rd., Suite 201, Mequon, WI P:
Jonathan Carroll-Nellenback University of Rochester.
Discontinuous Galerkin Methods and Strand Mesh Generation
The Applied Partial Differential Equations Integrated Software Infrastructure Center (APDEC) Goal: Develop algorithms and software for simulating multiscale.
Cartesian Grid Embedded Boundary Methods for Partial Differential Equations APDEC ISIC: Phil Colella, Dan Graves, Terry Ligocki, Brian van Straalen (LBNL);
1 1 What does Performance Across the Software Stack mean?  High level view: Providing performance for physics simulations meaningful to applications 
1 1  Capabilities: Scalable algebraic solvers for PDEs Freely available and supported research code Usable from C, C++, Fortran 77/90, Python, MATLAB.
Multilevel Parallelism using Processor Groups Bruce Palmer Jarek Nieplocha, Manoj Kumar Krishnan, Vinod Tipparaju Pacific Northwest National Laboratory.
CFX-10 Introduction Lecture 1.
MESQUITE: Mesh Optimization Toolkit Brian Miller, LLNL
I/O for Structured-Grid AMR Phil Colella Lawrence Berkeley National Laboratory Coordinating PI, APDEC CET.
CCA Common Component Architecture CCA Forum Tutorial Working Group CCA Status and Plans.
Connections to Other Packages The Cactus Team Albert Einstein Institute
A Dirichlet-to-Neumann (DtN)Multigrid Algorithm for Locally Conservative Methods Sandia National Laboratories is a multi program laboratory managed and.
Hank Childs, University of Oregon Large Data Visualization.
COMPUTATIONAL FLUID DYNAMICS (AE 2402) Presented by IRISH ANGELIN S AP/AERO.
1 1  Capabilities: Serial (C), shared-memory (OpenMP or Pthreads), distributed-memory (hybrid MPI+ OpenM + CUDA). All have Fortran interface. Sparse LU.
FY 12 IPR Parallel Framework Capabilities PT123 computational kernel handles various ODE solvers. P2P communication model. Particle-mesh correlation provides.
Presented by Adaptive Hybrid Mesh Refinement for Multiphysics Applications Ahmed Khamayseh and Valmor de Almeida Computer Science and Mathematics Division.
TR&D 2: NUMERICAL TOOLS FOR MODELING IN CELL BIOLOGY Software development: Jim Schaff Fei Gao Frank Morgan Math & Physics: Boris Slepchenko Diana Resasco.
Lattice Boltzmann Simulation of Fluid Flows M.J. Pattison & S. Banerjee MetaHeuristics LLC Santa Barbara, CA
1 Data Structures for Scientific Computing Orion Sky Lawlor /04/14.
Algebraic Solvers in FASTMath Argonne Training Program on Extreme-Scale Computing August 2015.
1 Rocket Science using Charm++ at CSAR Orion Sky Lawlor 2003/10/21.
Lecture Objectives: Review discretization methods for advection diffusion equation –Accuracy –Numerical Stability Unsteady-state CFD –Explicit vs. Implicit.
Scientific Computing Lab Outlook / State of Research Dr. Miriam Mehl Institut für Informatik Scientific Computing in Computer Science.
C OMPUTATIONAL R ESEARCH D IVISION 1 Defining Software Requirements for Scientific Computing Phillip Colella Applied Numerical Algorithms Group Lawrence.
Center for Extended MHD Modeling (PI: S. Jardin, PPPL) –Two extensively developed fully 3-D nonlinear MHD codes, NIMROD and M3D formed the basis for further.
Lecture Objectives: - Numerics. Finite Volume Method - Conservation of  for the finite volume w e w e l h n s P E W xx xx xx - Finite volume.
An Introduction to Computational Fluids Dynamics Prapared by: Chudasama Gulambhai H ( ) Azhar Damani ( ) Dave Aman ( )
By Arseniy Kotov CAL POLY San Luis Obispo, Aerospace Engineering Intern at Applied Modeling & Simulation Branch Mentors: Susan Cliff, Emre Sozer, Jeff.
Algorithm Artificial compressibility Symmetric Coupled Gauss Seidel Parallel Pressure (SCGS-PP) 1st, 3rd and 5th order convective schemes 2nd, 4rd and.
 155 South 1452 East Room 380  Salt Lake City, Utah  This research was sponsored by the National Nuclear Security Administration.
Unstructured Meshing Tools for Fusion Plasma Simulations
ASC/Alliances Center for Astrophysical Thermonuclear Flashes
Data Structures for Efficient and Integrated Simulation of Multi-Physics Processes in Complex Geometries A.Smirnov MulPhys LLC github/mulphys
Date of download: 12/23/2017 Copyright © ASME. All rights reserved.
CFD Applications G.S.RAVI SHANKAR.
Presentation transcript:

1 1  Capabilities: Building blocks for block-structured AMR codes for solving time-dependent PDE’s Functionality for [1…6]D, mixed-dimension building Supports data on cell centers, faces and nodes. Support for  Grid-based operations (explicit and/or implicit)  Communication between levels (explicit and/or implicit)  Particle and particle/mesh algorithms Support for second- and higher-order time-stepping methods Hybrid C++/Fortran 90 code. ChomboFortran source-to-source DSL Can run in serial, with MPI only, or with hybrid MPI + OpenMP for node-level parallelism Has native single-level and multilevel multigrid solvers that respect the inherent domain decomposition HDF5 I/O for both restart and plotfiles – visualization format supported by Visit.  Download : anag-repo.lbl.gov  Further information : Brian Van Straalen, Chombo – Block-structured AMR software framework

2 2  Large Eddy simulations of wind turbines (PI, R. Samtaney, KAUST, S. Guzik CSU).  CHARM - Compressible CFD + collisionless particle cosmology simulations (PI F. Miniati, ETH Zurich)  MS_FLUKSS - Physics of the Solar Wind and Its Interaction with the Interstellar medium using compressible hyperbolic CFD + electromagnetic and kinetic effects (G. Zank. and N. Pogorelov UA-Huntsville)  PLUTO - General astrophysics modeling (PI A. Mignone)  ORION - Astrophysical MHD turbulence PI C. McKee / R. Klein, UCB  REALM - SF Bay and Delta Hydrology modeling shallow water (PI P. Schwartz, LBNL and CA Department of Water Resources)  Plasma-wakefield accelerators -- compressible viscous flow (PI D. Graves, LBNL).  ChomboCrunch - Pore-scale subsurface reacting flow code (PI D. Trebotich, LBNL)  Conjugate heat transfer in nuclear reactors (PI R. Crockett, LBNL, TechX)  COGENT - 4D gyrokinetic models of tokamak edge ( PI J. Hittinger, LLNL)  BISICLES - Land ice model for climate simulation (PI D. Martin, LBNL) FASTMath SciDAC Institute Chombo: Application Codes

3 3 Chombo-Crunch: CFD + multi-component geochemical reactive transport in very complex pore (micro) scale geometries  Adaptive, finite volume methods for advection- diffusion in Chombo Accurate reactive surface area using embedded boundaries Dynamic local refinement (AMR) Scalable (100K processors) Direct simulation of image data  CrunchFlow geochemistry SNIA operator splitting Point-by-point calculation CFL-limited timestep Rate calculated at each water-mineral interface by multiplying by the reactive surface area (RSA) Computational domain for calcite in capillary tube Image data converted to simulation grid using implicit function representation of boundaries