Foam::lduMatrix::solverPerformance Foam::PCG::solve
(
scalarField& psi,
const scalarField& source,
const direction cmpt
) const
{
// --- Setup class containing solver performance data
lduMatrix::solverPerformance solverPerf
(
lduMatrix::preconditioner::getName(controlDict_) + typeName,
fieldName_
);
register label nCells = psi.size();
scalar* __restrict__ psiPtr = psi.begin();
scalarField pA(nCells);
scalar* __restrict__ pAPtr = pA.begin();
scalarField wA(nCells);
scalar* __restrict__ wAPtr = wA.begin();
scalar wArA = matrix_.great_;
scalar wArAold = wArA;
// --- Calculate A.psi
matrix_.Amul(wA, psi, interfaceBouCoeffs_, interfaces_, cmpt);
// --- Calculate initial residual field
scalarField rA(source - wA);
scalar* __restrict__ rAPtr = rA.begin();
// --- Calculate normalisation factor
scalar normFactor = this->normFactor(psi, source, wA, pA);
if (lduMatrix::debug >= 2)
{
Info<< " Normalisation factor = " << normFactor << endl;
}
// --- Calculate normalised residual norm
solverPerf.initialResidual() = gSumMag(rA)/normFactor;
solverPerf.finalResidual() = solverPerf.initialResidual();
// --- Check convergence, solve if not converged
if (!solverPerf.checkConvergence(tolerance_, relTol_))
{
// --- Select and construct the preconditioner
autoPtr<lduMatrix::preconditioner> preconPtr =
lduMatrix::preconditioner::New
(
*this,
controlDict_
);
// --- Solver iteration
do
{
// --- Store previous wArA
wArAold = wArA;
// --- Precondition residual
preconPtr->precondition(wA, rA, cmpt);
// --- Update search directions:
wArA = gSumProd(wA, rA);
if (solverPerf.nIterations() == 0)
{
for (register label cell=0; cell<nCells; cell++)
{
pAPtr[cell] = wAPtr[cell];
}
}
else
{
scalar beta = wArA/wArAold;
for (register label cell=0; cell<nCells; cell++)
{
pAPtr[cell] = wAPtr[cell] + beta*pAPtr[cell];
}
}
// --- Update preconditioned residual
matrix_.Amul(wA, pA, interfaceBouCoeffs_, interfaces_, cmpt);
scalar wApA = gSumProd(wA, pA);
// --- Test for singularity
if (solverPerf.checkSingularity(mag(wApA)/normFactor)) break;
// --- Update solution and residual:
scalar alpha = wArA/wApA;
for (register label cell=0; cell<nCells; cell++)
{
psiPtr[cell] += alpha*pAPtr[cell];
rAPtr[cell] -= alpha*wAPtr[cell];
}
solverPerf.finalResidual() = gSumMag(rA)/normFactor;
} while
(
solverPerf.nIterations()++ < maxIter_
&& !(solverPerf.checkConvergence(tolerance_, relTol_))
);
}
return solverPerf;
}
Foam::solverPerformance Foam::PBiCGStab::solve
(
scalarField& psi,
const scalarField& source,
const direction cmpt
) const
{
// --- Setup class containing solver performance data
solverPerformance solverPerf
(
lduMatrix::preconditioner::getName(controlDict_) + typeName,
fieldName_
);
const label nCells = psi.size();
scalar* __restrict__ psiPtr = psi.begin();
scalarField pA(nCells);
scalar* __restrict__ pAPtr = pA.begin();
scalarField yA(nCells);
scalar* __restrict__ yAPtr = yA.begin();
// --- Calculate A.psi
matrix_.Amul(yA, psi, interfaceBouCoeffs_, interfaces_, cmpt);
// --- Calculate initial residual field
scalarField rA(source - yA);
scalar* __restrict__ rAPtr = rA.begin();
// --- Calculate normalisation factor
const scalar normFactor = this->normFactor(psi, source, yA, pA);
if (lduMatrix::debug >= 2)
{
Info<< " Normalisation factor = " << normFactor << endl;
}
// --- Calculate normalised residual norm
solverPerf.initialResidual() =
gSumMag(rA, matrix().mesh().comm())
/normFactor;
solverPerf.finalResidual() = solverPerf.initialResidual();
// --- Check convergence, solve if not converged
if
(
minIter_ > 0
|| !solverPerf.checkConvergence(tolerance_, relTol_)
)
{
scalarField AyA(nCells);
scalar* __restrict__ AyAPtr = AyA.begin();
scalarField sA(nCells);
scalar* __restrict__ sAPtr = sA.begin();
scalarField zA(nCells);
scalar* __restrict__ zAPtr = zA.begin();
scalarField tA(nCells);
scalar* __restrict__ tAPtr = tA.begin();
// --- Store initial residual
const scalarField rA0(rA);
// --- Initial values not used
scalar rA0rA = 0;
scalar alpha = 0;
scalar omega = 0;
// --- Select and construct the preconditioner
autoPtr<lduMatrix::preconditioner> preconPtr =
lduMatrix::preconditioner::New
(
*this,
controlDict_
);
// --- Solver iteration
do
{
// --- Store previous rA0rA
const scalar rA0rAold = rA0rA;
rA0rA = gSumProd(rA0, rA, matrix().mesh().comm());
// --- Test for singularity
if (solverPerf.checkSingularity(mag(rA0rA)))
{
break;
}
// --- Update pA
if (solverPerf.nIterations() == 0)
{
for (label cell=0; cell<nCells; cell++)
{
pAPtr[cell] = rAPtr[cell];
}
}
else
{
// --- Test for singularity
if (solverPerf.checkSingularity(mag(omega)))
{
break;
}
const scalar beta = (rA0rA/rA0rAold)*(alpha/omega);
for (label cell=0; cell<nCells; cell++)
{
pAPtr[cell] =
rAPtr[cell] + beta*(pAPtr[cell] - omega*AyAPtr[cell]);
}
}
// --- Precondition pA
preconPtr->precondition(yA, pA, cmpt);
// --- Calculate AyA
matrix_.Amul(AyA, yA, interfaceBouCoeffs_, interfaces_, cmpt);
const scalar rA0AyA = gSumProd(rA0, AyA, matrix().mesh().comm());
alpha = rA0rA/rA0AyA;
// --- Calculate sA
for (label cell=0; cell<nCells; cell++)
{
sAPtr[cell] = rAPtr[cell] - alpha*AyAPtr[cell];
}
// --- Test sA for convergence
solverPerf.finalResidual() =
gSumMag(sA, matrix().mesh().comm())/normFactor;
if (solverPerf.checkConvergence(tolerance_, relTol_))
{
for (label cell=0; cell<nCells; cell++)
{
psiPtr[cell] += alpha*yAPtr[cell];
}
solverPerf.nIterations()++;
return solverPerf;
}
// --- Precondition sA
preconPtr->precondition(zA, sA, cmpt);
// --- Calculate tA
matrix_.Amul(tA, zA, interfaceBouCoeffs_, interfaces_, cmpt);
const scalar tAtA = gSumSqr(tA, matrix().mesh().comm());
// --- Calculate omega from tA and sA
// (cheaper than using zA with preconditioned tA)
omega = gSumProd(tA, sA, matrix().mesh().comm())/tAtA;
// --- Update solution and residual
for (label cell=0; cell<nCells; cell++)
{
psiPtr[cell] += alpha*yAPtr[cell] + omega*zAPtr[cell];
rAPtr[cell] = sAPtr[cell] - omega*tAPtr[cell];
}
solverPerf.finalResidual() =
gSumMag(rA, matrix().mesh().comm())
/normFactor;
} while
(
(
solverPerf.nIterations()++ < maxIter_
&& !solverPerf.checkConvergence(tolerance_, relTol_)
)
|| solverPerf.nIterations() < minIter_
);
}
return solverPerf;
}
Foam::SolverPerformance<Type>
Foam::PBiCCCG<Type, DType, LUType>::solve
(
Field<Type>& psi
) const
{
word preconditionerName(this->controlDict_.lookup("preconditioner"));
// --- Setup class containing solver performance data
SolverPerformance<Type> solverPerf
(
preconditionerName + typeName,
this->fieldName_
);
label nCells = psi.size();
Type* __restrict__ psiPtr = psi.begin();
Field<Type> pA(nCells);
Type* __restrict__ pAPtr = pA.begin();
Field<Type> pT(nCells, Zero);
Type* __restrict__ pTPtr = pT.begin();
Field<Type> wA(nCells);
Type* __restrict__ wAPtr = wA.begin();
Field<Type> wT(nCells);
Type* __restrict__ wTPtr = wT.begin();
scalar wArT = 1e15; //this->matrix_.great_;
scalar wArTold = wArT;
// --- Calculate A.psi and T.psi
this->matrix_.Amul(wA, psi);
this->matrix_.Tmul(wT, psi);
// --- Calculate initial residual and transpose residual fields
Field<Type> rA(this->matrix_.source() - wA);
Field<Type> rT(this->matrix_.source() - wT);
Type* __restrict__ rAPtr = rA.begin();
Type* __restrict__ rTPtr = rT.begin();
// --- Calculate normalisation factor
Type normFactor = this->normFactor(psi, wA, pA);
if (LduMatrix<Type, DType, LUType>::debug >= 2)
{
Info<< " Normalisation factor = " << normFactor << endl;
}
// --- Calculate normalised residual norm
solverPerf.initialResidual() = cmptDivide(gSumCmptMag(rA), normFactor);
solverPerf.finalResidual() = solverPerf.initialResidual();
// --- Check convergence, solve if not converged
if
(
this->minIter_ > 0
|| !solverPerf.checkConvergence(this->tolerance_, this->relTol_)
)
{
// --- Select and construct the preconditioner
autoPtr<typename LduMatrix<Type, DType, LUType>::preconditioner>
preconPtr = LduMatrix<Type, DType, LUType>::preconditioner::New
(
*this,
this->controlDict_
);
// --- Solver iteration
do
{
// --- Store previous wArT
wArTold = wArT;
// --- Precondition residuals
preconPtr->precondition(wA, rA);
preconPtr->preconditionT(wT, rT);
// --- Update search directions:
wArT = gSumProd(wA, rT);
if (solverPerf.nIterations() == 0)
{
for (label cell=0; cell<nCells; cell++)
{
pAPtr[cell] = wAPtr[cell];
pTPtr[cell] = wTPtr[cell];
}
}
else
{
scalar beta = wArT/wArTold;
for (label cell=0; cell<nCells; cell++)
{
pAPtr[cell] = wAPtr[cell] + (beta* pAPtr[cell]);
pTPtr[cell] = wTPtr[cell] + (beta* pTPtr[cell]);
}
}
// --- Update preconditioned residuals
this->matrix_.Amul(wA, pA);
this->matrix_.Tmul(wT, pT);
scalar wApT = gSumProd(wA, pT);
// --- Test for singularity
if
(
solverPerf.checkSingularity
(
cmptDivide(pTraits<Type>::one*mag(wApT), normFactor)
)
)
{
break;
}
// --- Update solution and residual:
scalar alpha = wArT/wApT;
for (label cell=0; cell<nCells; cell++)
{
psiPtr[cell] += (alpha* pAPtr[cell]);
rAPtr[cell] -= (alpha* wAPtr[cell]);
rTPtr[cell] -= (alpha* wTPtr[cell]);
}
solverPerf.finalResidual() =
cmptDivide(gSumCmptMag(rA), normFactor);
} while
(
(
solverPerf.nIterations()++ < this->maxIter_
&& !solverPerf.checkConvergence(this->tolerance_, this->relTol_)
)
|| solverPerf.nIterations() < this->minIter_
);
}
return solverPerf;
}
Foam::lduSolverPerformance Foam::PBiCG::solve
(
scalarField& x,
const scalarField& b,
const direction cmpt
) const
{
// --- Setup class containing solver performance data
lduSolverPerformance solverPerf
(
lduMatrix::preconditioner::getName(dict()) + typeName,
fieldName()
);
register label nCells = x.size();
scalar* __restrict__ xPtr = x.begin();
scalarField pA(nCells);
scalar* __restrict__ pAPtr = pA.begin();
scalarField pT(nCells, 0.0);
scalar* __restrict__ pTPtr = pT.begin();
scalarField wA(nCells);
scalar* __restrict__ wAPtr = wA.begin();
scalarField wT(nCells);
scalar* __restrict__ wTPtr = wT.begin();
scalar wArT = matrix_.great_;
scalar wArTold = wArT;
// Calculate A.x and T.x
matrix_.Amul(wA, x, coupleBouCoeffs_, interfaces_, cmpt);
matrix_.Tmul(wT, x, coupleIntCoeffs_, interfaces_, cmpt);
// Calculate initial residual and transpose residual fields
scalarField rA(b - wA);
scalarField rT(b - wT);
scalar* __restrict__ rAPtr = rA.begin();
scalar* __restrict__ rTPtr = rT.begin();
// Calculate normalisation factor
scalar normFactor = this->normFactor(x, b, wA, pA, cmpt);
if (lduMatrix::debug >= 2)
{
Info<< " Normalisation factor = " << normFactor << endl;
}
// Calculate normalised residual norm
solverPerf.initialResidual() = gSumMag(rA)/normFactor;
solverPerf.finalResidual() = solverPerf.initialResidual();
// Check convergence, solve if not converged
if (!stop(solverPerf))
{
// Select and construct the preconditioner
autoPtr<lduPreconditioner> preconPtr;
preconPtr =
lduPreconditioner::New
(
matrix_,
coupleBouCoeffs_,
coupleIntCoeffs_,
interfaces_,
dict()
);
// Solver iteration
do
{
// Store previous wArT
wArTold = wArT;
// Precondition residuals
preconPtr->precondition(wA, rA, cmpt);
preconPtr->preconditionT(wT, rT, cmpt);
// Update search directions:
wArT = gSumProd(wA, rT);
if (solverPerf.nIterations() == 0)
{
for (register label cell=0; cell<nCells; cell++)
{
pAPtr[cell] = wAPtr[cell];
pTPtr[cell] = wTPtr[cell];
}
}
else
{
scalar beta = wArT/wArTold;
for (register label cell=0; cell<nCells; cell++)
{
pAPtr[cell] = wAPtr[cell] + beta*pAPtr[cell];
pTPtr[cell] = wTPtr[cell] + beta*pTPtr[cell];
}
}
// Update preconditioned residuals
matrix_.Amul(wA, pA, coupleBouCoeffs_, interfaces_, cmpt);
matrix_.Tmul(wT, pT, coupleIntCoeffs_, interfaces_, cmpt);
scalar wApT = gSumProd(wA, pT);
// Test for singularity
if (solverPerf.checkSingularity(mag(wApT)/normFactor)) break;
// Update solution and residual:
scalar alpha = wArT/wApT;
for (register label cell=0; cell<nCells; cell++)
{
xPtr[cell] += alpha*pAPtr[cell];
rAPtr[cell] -= alpha*wAPtr[cell];
rTPtr[cell] -= alpha*wTPtr[cell];
}
solverPerf.finalResidual() = gSumMag(rA)/normFactor;
solverPerf.nIterations()++;
} while (!stop(solverPerf));
}
return solverPerf;
}
Foam::solverPerformance Foam::PBiCG::solve
(
scalarField& psi,
const scalarField& source,
const direction cmpt
) const
{
// --- Setup class containing solver performance data
solverPerformance solverPerf
(
lduMatrix::preconditioner::getName(controlDict_) + typeName,
fieldName_
);
label nCells = psi.size();
scalar* __restrict__ psiPtr = psi.begin();
scalarField pA(nCells);
scalar* __restrict__ pAPtr = pA.begin();
scalarField pT(nCells, 0.0);
scalar* __restrict__ pTPtr = pT.begin();
scalarField wA(nCells);
scalar* __restrict__ wAPtr = wA.begin();
scalarField wT(nCells);
scalar* __restrict__ wTPtr = wT.begin();
scalar wArT = solverPerf.great_;
scalar wArTold = wArT;
// --- Calculate A.psi and T.psi
matrix_.Amul(wA, psi, interfaceBouCoeffs_, interfaces_, cmpt);
matrix_.Tmul(wT, psi, interfaceIntCoeffs_, interfaces_, cmpt);
// --- Calculate initial residual and transpose residual fields
scalarField rA(source - wA);
scalarField rT(source - wT);
scalar* __restrict__ rAPtr = rA.begin();
scalar* __restrict__ rTPtr = rT.begin();
// --- Calculate normalisation factor
scalar normFactor = this->normFactor(psi, source, wA, pA);
if (lduMatrix::debug >= 2)
{
Info<< " Normalisation factor = " << normFactor << endl;
}
// --- Calculate normalised residual norm
solverPerf.initialResidual() =
gSumMag(rA, matrix().mesh().comm())
/normFactor;
solverPerf.finalResidual() = solverPerf.initialResidual();
// --- Check convergence, solve if not converged
if
(
minIter_ > 0
|| !solverPerf.checkConvergence(tolerance_, relTol_)
)
{
// --- Select and construct the preconditioner
autoPtr<lduMatrix::preconditioner> preconPtr =
lduMatrix::preconditioner::New
(
*this,
controlDict_
);
// --- Solver iteration
do
{
// --- Store previous wArT
wArTold = wArT;
// --- Precondition residuals
preconPtr->precondition(wA, rA, cmpt);
preconPtr->preconditionT(wT, rT, cmpt);
// --- Update search directions:
wArT = gSumProd(wA, rT, matrix().mesh().comm());
if (solverPerf.nIterations() == 0)
{
for (label cell=0; cell<nCells; cell++)
{
pAPtr[cell] = wAPtr[cell];
pTPtr[cell] = wTPtr[cell];
}
}
else
{
scalar beta = wArT/wArTold;
for (label cell=0; cell<nCells; cell++)
{
pAPtr[cell] = wAPtr[cell] + beta*pAPtr[cell];
pTPtr[cell] = wTPtr[cell] + beta*pTPtr[cell];
}
}
// --- Update preconditioned residuals
matrix_.Amul(wA, pA, interfaceBouCoeffs_, interfaces_, cmpt);
matrix_.Tmul(wT, pT, interfaceIntCoeffs_, interfaces_, cmpt);
scalar wApT = gSumProd(wA, pT, matrix().mesh().comm());
// --- Test for singularity
if (solverPerf.checkSingularity(mag(wApT)/normFactor))
{
break;
}
// --- Update solution and residual:
scalar alpha = wArT/wApT;
for (label cell=0; cell<nCells; cell++)
{
psiPtr[cell] += alpha*pAPtr[cell];
rAPtr[cell] -= alpha*wAPtr[cell];
rTPtr[cell] -= alpha*wTPtr[cell];
}
solverPerf.finalResidual() =
gSumMag(rA, matrix().mesh().comm())
/normFactor;
} while
(
(
solverPerf.nIterations()++ < maxIter_
&& !solverPerf.checkConvergence(tolerance_, relTol_)
)
|| solverPerf.nIterations() < minIter_
);
}
return solverPerf;
}
Foam::SolverPerformance<Type>
Foam::PBiCCCG<Type, DType, LUType>::solve
(
gpuField<Type>& psi
) const
{
word preconditionerName(this->controlDict_.lookup("preconditioner"));
// --- Setup class containing solver performance data
SolverPerformance<Type> solverPerf
(
preconditionerName + typeName,
this->fieldName_
);
register label nCells = psi.size();
gpuField<Type> pA(nCells);
gpuField<Type> pT(nCells, pTraits<Type>::zero);
gpuField<Type> wA(nCells);
gpuField<Type> wT(nCells);
scalar wArT = 1e15; //this->matrix_.great_;
scalar wArTold = wArT;
// --- Calculate A.psi and T.psi
this->matrix_.Amul(wA, psi);
this->matrix_.Tmul(wT, psi);
// --- Calculate initial residual and transpose residual fields
gpuField<Type> rA(this->matrix_.source() - wA);
gpuField<Type> rT(this->matrix_.source() - wT);
// --- Calculate normalisation factor
Type normFactor = this->normFactor(psi, wA, pA);
if (LduMatrix<Type, DType, LUType>::debug >= 2)
{
Info<< " Normalisation factor = " << normFactor << endl;
}
// --- Calculate normalised residual norm
solverPerf.initialResidual() = cmptDivide(gSumCmptMag(rA), normFactor);
solverPerf.finalResidual() = solverPerf.initialResidual();
// --- Check convergence, solve if not converged
if
(
this->minIter_ > 0
|| !solverPerf.checkConvergence(this->tolerance_, this->relTol_)
)
{
// --- Select and construct the preconditioner
autoPtr<typename LduMatrix<Type, DType, LUType>::preconditioner>
preconPtr = LduMatrix<Type, DType, LUType>::preconditioner::New
(
*this,
this->controlDict_
);
// --- Solver iteration
do
{
// --- Store previous wArT
wArTold = wArT;
// --- Precondition residuals
preconPtr->precondition(wA, rA);
preconPtr->preconditionT(wT, rT);
// --- Update search directions:
wArT = gSumProd(wA, rT);
if (solverPerf.nIterations() == 0)
{
thrust::copy(wA.begin(),wA.end(),pA.begin());
thrust::copy(wT.begin(),wT.end(),pT.begin());
}
else
{
scalar beta = wArT/wArTold;
thrust::transform
(
wA.begin(),
wA.end(),
thrust::make_transform_iterator
(
pA.begin(),
multiplyOperatorSFFunctor<scalar,Type,Type>(beta)
),
pA.begin(),
addOperatorFunctor<Type,Type,Type>()
);
thrust::transform
(
wT.begin(),
wT.end(),
thrust::make_transform_iterator
(
pT.begin(),
multiplyOperatorSFFunctor<scalar,Type,Type>(beta)
),
pT.begin(),
addOperatorFunctor<Type,Type,Type>()
);
}
// --- Update preconditioned residuals
this->matrix_.Amul(wA, pA);
this->matrix_.Tmul(wT, pT);
scalar wApT = gSumProd(wA, pT);
// --- Test for singularity
if
(
solverPerf.checkSingularity
(
cmptDivide(pTraits<Type>::one*mag(wApT), normFactor)
)
)
{
break;
}
// --- Update solution and residual:
scalar alpha = wArT/wApT;
thrust::transform
(
psi.begin(),
psi.end(),
thrust::make_transform_iterator
(
pA.begin(),
multiplyOperatorSFFunctor<scalar,Type,Type>(alpha)
),
psi.begin(),
addOperatorFunctor<Type,Type,Type>()
);
thrust::transform
(
rA.begin(),
rA.end(),
thrust::make_transform_iterator
(
wA.begin(),
multiplyOperatorSFFunctor<scalar,Type,Type>(alpha)
),
rA.begin(),
subtractOperatorFunctor<Type,Type,Type>()
);
thrust::transform
(
rT.begin(),
rT.end(),
thrust::make_transform_iterator
(
wT.begin(),
multiplyOperatorSFFunctor<scalar,Type,Type>(alpha)
),
rT.begin(),
subtractOperatorFunctor<Type,Type,Type>()
);
solverPerf.finalResidual() =
cmptDivide(gSumCmptMag(rA), normFactor);
} while
(
(
solverPerf.nIterations()++ < this->maxIter_
&& !solverPerf.checkConvergence(this->tolerance_, this->relTol_)
)
|| solverPerf.nIterations() < this->minIter_
);
}
return solverPerf;
}
