A Parallel Strategy for a Level Set Simulation of A Parallel Strategy - - PowerPoint PPT Presentation
A Parallel Strategy for a Level Set Simulation of A Parallel Strategy - - PowerPoint PPT Presentation
A Parallel Strategy for a Level Set Simulation of A Parallel Strategy for a Level Set Simulation of Droplets Moving in a Liquid Medium Oliver Fortmeier, H. Martin Bcker VECPAR10 June 24 th VECPAR 10, June 24 Berkeley, CA, USA Motivation
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Motivation – Experimental Setup
- E. Bertakis, S. Groß, J. Grande, O. Fortmeier, A. Reusken, and A. Pfennig. Validated simulation of droplet sedimentation with
A Parallel Strategy for a Level Set Simulation
- f Droplets Moving in a Liquid Medium
Oliver Fortmeier
VECPAR‘10, June 24th
finite‐element and level‐set methods. Chemical Engineering Science, 65(6):2037‐2051, 2010
3
Outline
- Mathematical model for simulating droplets as two‐phase
flows flows P ll l i l ti f d l t
- Parallel simulation of droplets
– Hierarchy of tetrahedral grids D i i f d i l fi d h d l id – Decomposition of adaptively refined tetrahedral grids – Distributed unknowns
- Performance results up to 256 MPI processes
– Load‐balancing – Strategies to place MPI processes on nodes
A Parallel Strategy for a Level Set Simulation
- f Droplets Moving in a Liquid Medium
Oliver Fortmeier
VECPAR‘10, June 24th
4
Mathematical Model
- Level set functions describe two phases 1 (e.g., droplet) and
2 (e.g., surrounding water)
2D example for a level‐set function 1D example for a level‐set function
- Coupling the level set equation and the Navier‐Stokes equations
d ib t h fl describes two‐phase flows
A Parallel Strategy for a Level Set Simulation
- f Droplets Moving in a Liquid Medium
Oliver Fortmeier
VECPAR‘10, June 24th
5
Typical Serial Simulation
Solution Solution Solution
Evolving Grid‐
for time ti for time ti+1 for time ti+1
in time mod.
Vertical slice through computational domain A Parallel Strategy for a Level Set Simulation
- f Droplets Moving in a Liquid Medium
Oliver Fortmeier
VECPAR‘10, June 24th
Vertical slice through computational domain
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Need for Load‐Balancing
Solution Solution Solution
Evolving Grid
Solution
Load
for time ti for time ti+1 for time ti+1
in time mod.
for time ti+1
balancing
Vertical slice through computational domain A Parallel Strategy for a Level Set Simulation
- f Droplets Moving in a Liquid Medium
Oliver Fortmeier
VECPAR‘10, June 24th
Vertical slice through computational domain
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Distributed Hierarchy
Serial hierarchy of triangulations
s.
Serial hierarchy of triangulations
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Distributed hierarchy of triangulations
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A Parallel Strategy for a Level Set Simulation
- f Droplets Moving in a Liquid Medium
Oliver Fortmeier
VECPAR‘10, June 24th O Tr In No
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Representing the Hierarchy by Graphs
- Dual, reduced Graph:
– Vertices = Family of tetrahedra T(v) i e all children Vertices = Family of tetrahedra T(v), i.e. all children
- f a parent tetrahedra
– Edges = Vertices are adjacent if corresponding Edges = Vertices are adjacent if corresponding tetrahedron families share a common face – Vertex weight = Number of children or one if no children exists Vertex weight = Number of children, or one if no children exists – Edge weight = Number of common faces
2 4 1
A Parallel Strategy for a Level Set Simulation
- f Droplets Moving in a Liquid Medium
Oliver Fortmeier
VECPAR‘10, June 24th
9
Updating the Hierarchy of Triangulations
efin- ing Re i
refine coarse
Graph 2 1 4 2 1 4
A Parallel Strategy for a Level Set Simulation
- f Droplets Moving in a Liquid Medium
Oliver Fortmeier
VECPAR‘10, June 24th
10
Updating the Hierarchy of Triangulations
a eling data d and 2010. efin- ing
+Unknowns
- ker. Mode
weighted Sytems
- 38. VDE,
Re i
refine
- M. Bück
blems by n Parallel ages 31-3
coarse
Graph
+Unknowns
h, and H. flow prob kshop on many, pa 2
- T. Henrich
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+Unknowns A Parallel Strategy for a Level Set Simulation
- f Droplets Moving in a Liquid Medium
Oliver Fortmeier
VECPAR‘10, June 24th
[ 2 di gr A
11
Handling of Distributed Unknowns
U k d i d
- Unknowns are stored on vertices and
edges of the tetrahedra.
- We distinguish between local and
distributed unknowns.
- Distributed unknowns are can be either
– Partially assembled, i.e., each process only h ld f h l holds a part of the value – Accumulated, i.e., each process holds the “global” value
P0 P1
global value
- For linear algebra operations
transforming partially assembled to transforming partially assembled to accumulated unknowns is needed
- Transformation involves neighbor
P3 P2
- Transformation involves neighbor
communication which can be
- verlapped by computations
local unknowns di ib d k
A Parallel Strategy for a Level Set Simulation
- f Droplets Moving in a Liquid Medium
Oliver Fortmeier
VECPAR‘10, June 24th
- verlapped by computations
distributed unknowns
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Techniques to Solve Two‐Phase Flows
- Software
– DROPS (http://www.igpm.rwth‐aachen.de/drops)
- Computational domain
/ – Hierarchy of tetrahedral grids for adaptively refining/coarsening – Domain decomposition for parallelization
- Numerical techniques:
– Level set method to represent phases and to capture the interface Level set method to represent phases and to capture the interface – Finite elements (quadratic for velocity and level set function, linear and X‐FEM for pressure) p ) – Time integration is based on a linear theta scheme – Continuum surface force (CSF) for describing the surface tension – Parallel Krylov subspace methods (and in serial: iterative solvers based on multigrid methods)
A Parallel Strategy for a Level Set Simulation
- f Droplets Moving in a Liquid Medium
Oliver Fortmeier
VECPAR‘10, June 24th
13
Is Updating a Bottleneck?
- Problem size:
– 875k tetrahedra, 30k k
Speedup:
– 4 130k unknowns – radius 2mm, 5 levels
- Total time:
– 5 822s on 32 procs. 893 2 – 893s on 256 procs.
- Updating the triangulation:
– 12.6s (=0.22%) on 32 procs. – 3.7s (=0.41%) on 256 procs.
Right now updating is Right now, updating is not a bottleneck
Harpertown processors InfiniBand network Intel MPI library Intel compiler
A Parallel Strategy for a Level Set Simulation
- f Droplets Moving in a Liquid Medium
Oliver Fortmeier
VECPAR‘10, June 24th
Harpertown processors, InfiniBand network, Intel MPI library, Intel compiler
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Placing MPI processes on nodes
Schematic view of two “Harpertown” processors on a node Schematic view of two “Harpertown” processors on a node:
Core0 Core1 Core2 Core3 Core4 Core5 Core6 Core7
ssor0 ssor1
L2 L2 L2 L2
Proces Proces Bus Memory
Two strategies to place MPI processes:
4 process per processor 1 process per processor
compact scatter A Parallel Strategy for a Level Set Simulation
- f Droplets Moving in a Liquid Medium
Oliver Fortmeier
VECPAR‘10, June 24th
p
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Effect of Placement
1 node 4 nodes 16 nodes 32 nodes
Problem size:
2 MPI 2104 s 8 MPI 533 s 32 MPI 277 s 64 MPI 75 s 8 MPI 32 MPI 128 MPI 256 MPI
– 155k tetrahedra – 725k unknowns – Radius 2mm
8 MPI 1713 s 32 MPI 445 s 128 MPI 155 s 256 MPI 119 s Factor 1.2 1.2 1.8 0.6
– Radius 2mm – 4 level
A Parallel Strategy for a Level Set Simulation
- f Droplets Moving in a Liquid Medium
Oliver Fortmeier
VECPAR‘10, June 24th
16
Conclusion and Outlook
- Conclusion:
– Parallel strategy to simulate a raising drop – Parallel strategy to simulate a raising drop – Updating the triangulation is not a bottleneck – Data movement is expensive for Harpertown processors Data movement is expensive for Harpertown processors – Now, focus on optimizing parallel algorithms
- Outlook:
Outlook:
– Parallel iterative mulitgrid solvers for the linear equation systems – Advanced techniques to “re‐initialize” the level set function Advanced techniques to re initialize the level set function – Hybrid MPI/OpenMP parallelization
A Parallel Strategy for a Level Set Simulation
- f Droplets Moving in a Liquid Medium
Oliver Fortmeier
VECPAR‘10, June 24th
Thank you for your attention!
I am looking forward to I am looking forward to questions and discussions!
http://www.sc.rwth‐aachen.de/fortmeier http://www igpm rwth‐aachen de/drops fortmeier@sc.rwth‐aachen.de http://www.igpm.rwth‐aachen.de/drops