This page was generated from unit-2.1.3-bddc/bddc.ipynb.
2.1.3 Element-wise BDDC Preconditioner¶
The element-wise BDDC (Balancing Domain Decomposition preconditioner with Constraints) preconditioner in NGSolve is a good general purpose preconditioner that works well both in the shared memory parallel mode as well as in distributed memory mode. In this tutorial, we discuss this preconditioner, related built-in options, and customization from python.
Let us start with a simple description of the element-wise BDDC in the context of Lagrange finite element space \(V\). Here the BDDC preconditioner is constructed on an auxiliary space \(\widetilde{V}\) obtained by connecting only element vertices (leaving edge and face shape functions discontinuous). Although larger, the auxiliary space allows local elimination of edge and face variables. Hence an analogue of the original matrix \(A\) on this space, named \(\widetilde A\), is less expensive to invert. This inverse is used to construct a preconditioner for \(A\) as follows:
Here, \(R\) is the averaging operator for the discontinuous edge and face variables.
To construct a general purpose BDDC preconditioner, NGSolve generalizes this idea to all its finite element spaces by a classification of degrees of freedom. Dofs are classified into (condensable) LOCAL_DOF
s that we saw in 1.4 and a remainder that includes these types:
WIREBASKET_DOF
INTERFACE_DOF
The original finite element space \(V\) is obtained by requiring conformity of both the above types of dofs, while the auxiliary space \(\widetilde{V}\) is obtained by requiring conformity of WIREBASKET_DOF
s only.
Here is a figure of a typical function in the default \(\widetilde{V}\) (and the code to generate this is at the end of this tutorial) when \(V\) is the Lagrange space:
[1]:
from ngsolve import *
from ngsolve.webgui import Draw
from ngsolve.la import EigenValues_Preconditioner
from netgen.csg import unit_cube
from netgen.geom2d import unit_square
SetHeapSize(100*1000*1000)
[2]:
mesh = Mesh(unit_cube.GenerateMesh(maxh=0.5))
# mesh = Mesh(unit_square.GenerateMesh(maxh=0.5))
Built-in options¶
Let us define a simple function to study how the spectrum of the preconditioned matrix changes with various options.
Effect of condensation¶
[3]:
def TestPreconditioner (p, condense=False, **args):
fes = H1(mesh, order=p, **args)
u,v = fes.TnT()
a = BilinearForm(fes, eliminate_internal=condense)
a += grad(u)*grad(v)*dx + u*v*dx
c = Preconditioner(a, "bddc")
a.Assemble()
return EigenValues_Preconditioner(a.mat, c.mat)
[4]:
lams = TestPreconditioner(5)
print (lams[0:3], "...\n", lams[-3:])
1.00229
1.04141
1.13674
...
7.35531
7.49161
7.66495
Here is the effect of static condensation on the BDDC preconditioner.
[5]:
lams = TestPreconditioner(5, condense=True)
print (lams[0:3], "...\n", lams[-3:])
1.00137
1.03997
1.11641
...
6.92606
7.01828
7.29664
Tuning the auxiliary space¶
Next, let us study the effect of a few built-in flags for finite element spaces that are useful for tweaking the behavior of the BDDC preconditioner. The effect of these flags varies in two (2D) and three dimensions (3D), e.g.,
wb_fulledges=True
: This option keeps all edge-dofs conforming (i.e. they are markedWIREBASKET_DOF
s). This option is only meaningful in 3D. If used in 2D, the preconditioner becomes a direct solver.wb_withedges=True
: This option keeps only the first edge-dof conforming (i.e., the first edge-dof is markedWIREBASKET_DOF
and the remaining edge-dofs are markedINTERFACE_DOF
s).
The complete situation is a bit more complex due to the fact these options can take the three values True, False, or Undefined, the two options can be combined, and the space dimension can be 2 or 3. The default value of these flags in NGSolve is Undefined. Here is a table with the summary of the effect of these options:
wb_fulledges |
wb_withedges |
2D |
3D |
---|---|---|---|
True |
any value |
all |
all |
False/Undefined |
Undefined |
none |
first |
False/Undefined |
False |
none |
none |
False/Undefined |
True |
first |
first |
An entry \(X \in\) {all, none, first} of the last two columns is to be read as follows: \(X\) of the edge-dofs is(are) WIREBASKET_DOF
(s).
Here is an example of the effect of one of these flag values.
[6]:
lams = TestPreconditioner(5, condense=True,
wb_withedges=False)
print (lams[0:3], "...\n", lams[-3:])
1.00412
1.09465
1.334
...
31.0839
33.0367
33.6481
Clearly, when moving from the default case (where the first of the edge dofs are wire basket dofs) to the case (where none of the edge dofs are wire basket dofs), the conditioning became less favorable.
Customize¶
From within python, we can change the types of degrees of freedom of finite element spaces, thus affecting the behavior of the BDDC preconditioner.
To depart from the default and commit the first two edge dofs to wire basket, we perform the next steps:
[7]:
fes = H1(mesh, order=10)
u,v = fes.TnT()
for ed in mesh.edges:
dofs = fes.GetDofNrs(ed)
for d in dofs:
fes.SetCouplingType(d, COUPLING_TYPE.INTERFACE_DOF)
# Set the first two edge dofs to be conforming
fes.SetCouplingType(dofs[0], COUPLING_TYPE.WIREBASKET_DOF)
fes.SetCouplingType(dofs[1], COUPLING_TYPE.WIREBASKET_DOF)
a = BilinearForm(fes, eliminate_internal=True)
a += grad(u)*grad(v)*dx + u*v*dx
c = Preconditioner(a, "bddc")
a.Assemble()
lams=EigenValues_Preconditioner(a.mat, c.mat)
max(lams)/min(lams)
[7]:
18.170358091446662
This is a slight improvement from the default.
[8]:
lams = TestPreconditioner (10, condense=True)
max(lams)/min(lams)
[8]:
27.352602492149977
Combine BDDC with AMG for large problems¶
coarsetype=h1amg
flag, we can ask BDDC to replace \({\,\widetilde{A}\,}^{-1}\) by an Algebraic MultiGrid (AMG) preconditioner. Since NGSolve’s h1amg
is well-suitedwb_withedges=False
to ensure that \(\widetilde{A}\) is made solely with vertex unknowns.[9]:
p = 5
mesh = Mesh(unit_cube.GenerateMesh(maxh=0.05))
fes = H1(mesh, order=p, dirichlet="left|bottom|back",
wb_withedges=False)
print("NDOF = ", fes.ndof)
u,v = fes.TnT()
a = BilinearForm(fes)
a += grad(u)*grad(v)*dx
f = LinearForm(fes)
f += v*dx
with TaskManager():
pre = Preconditioner(a, "bddc", coarsetype="h1amg")
a.Assemble()
f.Assemble()
gfu = GridFunction(fes)
solvers.CG(mat=a.mat, rhs=f.vec, sol=gfu.vec,
pre=pre, maxsteps=500)
Draw(gfu)
NDOF = 1154741
WARNING: kwarg 'coarsetype' is an undocumented flags option for class <class 'ngsolve.comp.Preconditioner'>, maybe there is a typo?
CG iteration 1, residual = 0.7043503007220652
CG iteration 2, residual = 0.28061086307246497
CG iteration 3, residual = 0.25712309821554735
CG iteration 4, residual = 0.29785896977728876
CG iteration 5, residual = 0.2602918783170465
CG iteration 6, residual = 0.20505150436287808
CG iteration 7, residual = 0.16198117954140293
CG iteration 8, residual = 0.13610158116834403
CG iteration 9, residual = 0.10123085436239952
CG iteration 10, residual = 0.06862414948830504
CG iteration 11, residual = 0.050969517646531806
CG iteration 12, residual = 0.041118407847676175
CG iteration 13, residual = 0.033986345203965554
CG iteration 14, residual = 0.026760005142223917
CG iteration 15, residual = 0.018926794946863404
CG iteration 16, residual = 0.014671034379641056
CG iteration 17, residual = 0.012092578903500321
CG iteration 18, residual = 0.009100371585157585
CG iteration 19, residual = 0.00681224067403144
CG iteration 20, residual = 0.0049137662085129395
CG iteration 21, residual = 0.003919240361008194
CG iteration 22, residual = 0.003002327623298567
CG iteration 23, residual = 0.0022813322987511563
CG iteration 24, residual = 0.001702999995941572
CG iteration 25, residual = 0.0013471279759169402
CG iteration 26, residual = 0.0010667207279254208
CG iteration 27, residual = 0.0008395212065148469
CG iteration 28, residual = 0.0006316755388500434
CG iteration 29, residual = 0.00048795188939796503
CG iteration 30, residual = 0.00037782005830909254
CG iteration 31, residual = 0.00029054307494673934
CG iteration 32, residual = 0.000230263140351466
CG iteration 33, residual = 0.00017807239766248694
CG iteration 34, residual = 0.00013613775586008572
CG iteration 35, residual = 0.0001078865878897559
CG iteration 36, residual = 8.441304805757201e-05
CG iteration 37, residual = 6.529501044594237e-05
CG iteration 38, residual = 4.9947349226548e-05
CG iteration 39, residual = 3.849396263772383e-05
CG iteration 40, residual = 3.062049976665091e-05
CG iteration 41, residual = 2.367752228809027e-05
CG iteration 42, residual = 1.829662020416803e-05
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CG iteration 44, residual = 1.09178610398044e-05
CG iteration 45, residual = 8.62256565126608e-06
CG iteration 46, residual = 7.513617036239408e-06
CG iteration 47, residual = 5.968896108685983e-06
CG iteration 48, residual = 4.4561699379486925e-06
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CG iteration 50, residual = 2.7449025980062008e-06
CG iteration 51, residual = 2.0727534452992392e-06
CG iteration 52, residual = 1.5739327072521099e-06
CG iteration 53, residual = 1.195829680801988e-06
CG iteration 54, residual = 9.250111601930678e-07
CG iteration 55, residual = 7.309849337093392e-07
CG iteration 56, residual = 5.812597040056039e-07
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CG iteration 59, residual = 2.589478452901544e-07
CG iteration 60, residual = 2.0166896861423028e-07
CG iteration 61, residual = 1.6062498075551075e-07
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CG iteration 63, residual = 9.644037778046815e-08
CG iteration 64, residual = 7.386281083587582e-08
CG iteration 65, residual = 5.679681059876243e-08
CG iteration 66, residual = 4.3560976622339585e-08
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CG iteration 69, residual = 2.0741464473923046e-08
CG iteration 70, residual = 1.631120423022856e-08
CG iteration 71, residual = 1.2729626874359202e-08
CG iteration 72, residual = 9.671932988665863e-09
CG iteration 73, residual = 7.584899650449856e-09
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CG iteration 110, residual = 5.800720153519154e-13
[9]:
BaseWebGuiScene
Postscript¶
By popular demand, here is the code to draw the figure found at the beginning of this tutorial:
[10]:
from netgen.geom2d import unit_square
mesh = Mesh(unit_square.GenerateMesh(maxh=0.1))
fes_ho = Discontinuous(H1(mesh, order=10))
fes_lo = H1(mesh, order=1, dirichlet=".*")
fes_lam = Discontinuous(H1(mesh, order=1))
fes = fes_ho*fes_lo*fes_lam
uho, ulo, lam = fes.TrialFunction()
a = BilinearForm(fes)
a += Variation(0.5 * grad(uho)*grad(uho)*dx
- 1*uho*dx
+ (uho-ulo)*lam*dx(element_vb=BBND))
gfu = GridFunction(fes)
solvers.Newton(a=a, u=gfu)
Draw(gfu.components[0],deformation=True)
Newton iteration 0
err = 0.39346141669994983
Newton iteration 1
err = 1.8488788182878563e-15
[10]:
BaseWebGuiScene
[ ]: