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Adaptive Simulation Loop for Omega3P

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Scientific Computation Research Center, Rensselaer Polytechnic Institute ... Unaltered. SLAC code. Error estimators. from RPI and SLAC. indicates where to adapt ... – PowerPoint PPT presentation

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Title: Adaptive Simulation Loop for Omega3P


1
Adaptive Simulation Loop for Omega3P
X. Li, M.S. Shephard, E. Seol, A.C. Bauer, Y. Luo
Scientific Computation Research Center,
Rensselaer Polytechnic Institute
L. Ge, I. Malik, K. Ko, Z. Li
Stanford Linear Accelerator Center (SLAC), DOE
and Stanford University
A Collaboration under DOEs SciDAC program
  • Outline
  • Issues, goals and overall approach
  • Ingredients to constructing a serial adaptive
    loop
  • Results to date
  • Efforts on the parallel adaptive loop

TSTT
2
Constructing Adaptive Solution Procedures
  • Components of an an adaptive mesh control loop
  • High level problem definition
  • Spatial discretization (mesh generation)
  • Equation discretization
  • Solvers to deal with the large systems of
    equations
  • Error estimators
  • Correction indicators
  • Discretization enrichment methods
  • Implementation
  • Tightly coupled using a single set of structures
  • Advantage is more optimal and computationally
    efficient if done well
  • Disadvantage is complex algorithm and code
    development
  • More important with frequent adaptation steps
  • Loosely coupled building on existing components
  • Advantage is ability to take advantage of
    existing analysis codes and adaptive tools and to
    mix and match tools
  • Disadvantage is the overhead of multiple
    structures and data conversion

3
Mesh/Model Relationship
  • Critical to all aspects of the simulation process
  • Relationship is termed classification
  • Mesh Classification Unique association of a
    mesh entity, Midi, to a geometric model entity,
    Gjdj, where diltdj is denoted by
  • Midi Gjdj
  • indicates the left-hand entity (or set)
    represents a portion of the right-hand entity in
    the discretization
  • Multiple Midi classified on a Gjdj
  • Boundary mesh entities are identifiedin terms of
    their classifications
  • Classification critical to supporting adaptive
    simulations and high level problem definitions

4
Adaptive Mesh Control
  • Two approaches
  • Re-meshing
  • Define new mesh size field
  • Provide mesh generator with domain definition and
    mesh size field
  • Map any required history dependent solution
    fields for the old to new mesh
  • Local mesh modifications
  • Determine local operations needed to perform
    desired modifications
  • Execute the local modifications
  • Apply incremental history dependent solution
    field updates
  • Used generalized mesh modification

5
Muzzle Blast

t0.0
t2e-4
t5e-4
6
Mesh Adapted Using Mesh Modification Tool

inlet
initial mesh
B
B
adapted mesh
section B-B
interior mesh on xz plane
velocity contours on xz plane
7
Field Interface Procedures
  • Fields are tensors defined in terms of basis and
    multipliers defined over mesh entities
  • Solution information needed for queries and
    operations - in this case error estimation
  • Maintain representation over the problem domain
    in a manner that is consistent with the solution
    process
  • Operators needed to access fields at the model
    and mesh
  • Used to support error estimation
  • Used in other projects to support global and
    local solution transfer

8
Adaptive Loop for Accelerator Design
  • Complex geometry defined in CAD modeler
  • Physics modeling by the Omega3P code from SLAC
  • Solves Maxwells equations in frequency domain
  • Addresses Electric and magnetic fields
  • Determine power loss for specific modes
  • High level modeling accuracy needed
  • E.g., 0.01 error in frequency predictions
  • Adaptive mesh control needed to provide accuracy
    needed
  • Serial adaptive loop constructed using unmodified
    Omega3P
  • Parallel adaptive loop may require adding a
    parallel file

TSTT
9
Providing the Adaptive Loop Components
  • Components added to construct adaptive loop
  • Automatic mesh generation directly from CAD
  • a-posteriori error indication procedures to
    define mesh size field
  • General mesh modification procedures to construct
    requested mesh size field accounting for the CAD
    geometry
  • Approach to the coupling of the components
  • Interoperability procedures to provide
    information needed by components
  • Geometry - support the integration to multiple
    CAD systems
  • Mesh - support the integration to various mesh
    generation and modification procedures
  • Field - support the integration with different
    analysis procedures
  • Interoperability procedures used in this example
    from
  • TSTT
  • SCOREC
  • Simmetrix

10
Integration of Components
11
Operator Interfaces
Using geometry operatorsmeans alternate solid
modelers can be inserted
Using TSTT mesh operatorsmeans alternate mesh
generatorsand mesh adaptation procedurescan be
inserted
Mesh adaptation based on local modification
linkeddirectly to CAD
Unaltered SLAC code
Projection-based error estimatorused to
construct new mesh sizefield given to mesh
modification
Error estimatorsfrom RPI and SLAC
12
Error Indicator/Estimator
Projection-based error Indicator
Total error Where error in element
FE solution recovered gradient
of FE solution
  • indicates where to adapt
  • provides a stopping criterion

13
Convert Error Field to Size Field
Size field is obtained by minimizing and
utilizing a priori error estimate
Where Lagrange multiplier desired
error tolerance problem
dimension error in element current size of
element
The number of elements is minimized for a given
error tolerance by equally distributing the
error over the mesh
14
Adaptive Results for Trispal Model
Distribution of Wall-loss
Level 1
Level 2
Level 0
Frequency Convergence
Q Convergence
15
Need for Parallel Adaptive - Need 100M Elements
Initial Mesh Generation
Mesh Distribution
Next step in TSTT/SLAC collaboration - parallel
adaptive loop
16
Parallel Adaptive Solutions
  • Need distributed data structures to support
    parallel processing
  • Distributed mesh topologically
  • PAOMD
  • Hierarchical mesh structure used to distribute
    computation and data
  • Partition boundary tools
  • Update, traversal
  • Dynamic load balancing
  • Zoltan can meet the need
  • Mesh and data migration
  • PAOMD supports
  • Need to deal with distributed files
  • This need work

17
Mesh Mesh Modification
  • Refinement
  • Can be done on processor with diagonal selection
    made consistent
  • Snapping to boundary for curved domains -can
    require swaps, etc.
  • Synchronize the partition data at end
  • Coarsening and swapping
  • Parallization
  • On processor - performed
  • Off processor - held
  • Migration to get operation on processor

18
Initial Test of Component Tools

Initial Mesh - 8,000 tets
Adapted Mesh - 700,000 tets
19
Closing Remarks
  • Adaptive loop constructed using available
    components and interoperability operators
  • Software for multiple sources combined to create
    a adaptive loop
  • Adaptive loop constructed and demonstrated in
    less that 3 months
  • By people with little background on interface
    methods or the meshing components
  • Included development of error estimation and
    correction indication
  • Steps underway
  • Installing and testing serial version on SLAC
    systems
  • Parallization of the tools
  • Putting components on SLAC machine
  • Initial version did not resole most effective I/O
    issues
  • Will work on the I/O issues
  • Parallel adaptive planned to be part of the TSTT
    tools to be put together to support the design
    optimization activity
  • Remeshing can adapt for both discretization
    control and to deal will bad elements when total
    shape changes are too large for mesh motion only
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