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|
// DO NOT EDIT !
// This file is generated using the MantaFlow preprocessor (prep generate).
/******************************************************************************
*
* MantaFlow fluid solver framework
* Copyright 2011 Tobias Pfaff, Nils Thuerey
*
* This program is free software, distributed under the terms of the
* Apache License, Version 2.0
* http://www.apache.org/licenses/LICENSE-2.0
*
* Conjugate gradient solver
*
******************************************************************************/
#ifndef _CONJUGATEGRADIENT_H
#define _CONJUGATEGRADIENT_H
#include "vectorbase.h"
#include "grid.h"
#include "kernel.h"
#include "multigrid.h"
namespace Manta {
static const bool CG_DEBUG = false;
//! Basic CG interface
class GridCgInterface {
public:
enum PreconditionType { PC_None = 0, PC_ICP, PC_mICP, PC_MGP };
GridCgInterface() : mUseL2Norm(true){};
virtual ~GridCgInterface(){};
// solving functions
virtual bool iterate() = 0;
virtual void solve(int maxIter) = 0;
// precond
virtual void setICPreconditioner(
PreconditionType method, Grid<Real> *A0, Grid<Real> *Ai, Grid<Real> *Aj, Grid<Real> *Ak) = 0;
virtual void setMGPreconditioner(PreconditionType method, GridMg *MG) = 0;
// access
virtual Real getSigma() const = 0;
virtual Real getIterations() const = 0;
virtual Real getResNorm() const = 0;
virtual void setAccuracy(Real set) = 0;
virtual Real getAccuracy() const = 0;
//! force reinit upon next iterate() call, can be used for doing multiple solves
virtual void forceReinit() = 0;
void setUseL2Norm(bool set)
{
mUseL2Norm = set;
}
protected:
// use l2 norm of residualfor threshold? (otherwise uses max norm)
bool mUseL2Norm;
};
//! Run single iteration of the cg solver
/*! the template argument determines the type of matrix multiplication,
typically a ApplyMatrix kernel, another one is needed e.g. for the
mesh-based wave equation solver */
template<class APPLYMAT> class GridCg : public GridCgInterface {
public:
//! constructor
GridCg(Grid<Real> &dst,
Grid<Real> &rhs,
Grid<Real> &residual,
Grid<Real> &search,
const FlagGrid &flags,
Grid<Real> &tmp,
std::vector<Grid<Real> *> matrixAVec,
std::vector<Grid<Real> *> rhsVec = {});
~GridCg(){};
void doInit();
bool iterate();
void solve(int maxIter);
//! init pointers, and copy values from "normal" matrix
void setICPreconditioner(
PreconditionType method, Grid<Real> *A0, Grid<Real> *Ai, Grid<Real> *Aj, Grid<Real> *Ak);
void setMGPreconditioner(PreconditionType method, GridMg *MG);
void forceReinit()
{
mInited = false;
}
// Accessors
Real getSigma() const
{
return mSigma;
}
Real getIterations() const
{
return mIterations;
}
Real getResNorm() const
{
return mResNorm;
}
void setAccuracy(Real set)
{
mAccuracy = set;
}
Real getAccuracy() const
{
return mAccuracy;
}
protected:
bool mInited;
int mIterations;
// grids
Grid<Real> &mDst;
Grid<Real> &mRhs;
Grid<Real> &mResidual;
Grid<Real> &mSearch;
const FlagGrid &mFlags;
Grid<Real> &mTmp;
//! shape of A matrix defined here (e.g. diagonal, positive neighbor cells, etc)
std::vector<Grid<Real> *> mMatrixA;
//! shape of rhs vector defined here (e.g. 1 rhs for regular fluids solve, 3 rhs for viscosity)
std::vector<Grid<Real> *> mVecRhs;
PreconditionType mPcMethod;
//! preconditioning grids
Grid<Real> *mpPCA0, *mpPCAi, *mpPCAj, *mpPCAk;
GridMg *mMG;
//! sigma / residual
Real mSigma;
//! accuracy of solver (max. residuum)
Real mAccuracy;
//! norm of the residual
Real mResNorm;
}; // GridCg
//! Kernel: Apply symmetric stored Matrix
struct ApplyMatrix : public KernelBase {
ApplyMatrix(const FlagGrid &flags,
Grid<Real> &dst,
const Grid<Real> &src,
const std::vector<Grid<Real> *> matrixA,
const std::vector<Grid<Real> *> vecRhs)
: KernelBase(&flags, 0), flags(flags), dst(dst), src(src), matrixA(matrixA), vecRhs(vecRhs)
{
runMessage();
run();
}
inline void op(IndexInt idx,
const FlagGrid &flags,
Grid<Real> &dst,
const Grid<Real> &src,
const std::vector<Grid<Real> *> matrixA,
const std::vector<Grid<Real> *> vecRhs) const
{
unusedParameter(vecRhs); // Not needed in this matrix application
if (matrixA.size() != 4)
errMsg("ConjugatedGrad: Invalid A matrix in apply matrix step");
Grid<Real> &A0 = *matrixA[0];
Grid<Real> &Ai = *matrixA[1];
Grid<Real> &Aj = *matrixA[2];
Grid<Real> &Ak = *matrixA[3];
if (!flags.isFluid(idx)) {
dst[idx] = src[idx];
return;
}
dst[idx] = src[idx] * A0[idx] + src[idx - X] * Ai[idx - X] + src[idx + X] * Ai[idx] +
src[idx - Y] * Aj[idx - Y] + src[idx + Y] * Aj[idx] + src[idx - Z] * Ak[idx - Z] +
src[idx + Z] * Ak[idx];
}
inline const FlagGrid &getArg0()
{
return flags;
}
typedef FlagGrid type0;
inline Grid<Real> &getArg1()
{
return dst;
}
typedef Grid<Real> type1;
inline const Grid<Real> &getArg2()
{
return src;
}
typedef Grid<Real> type2;
inline const std::vector<Grid<Real> *> &getArg3()
{
return matrixA;
}
typedef std::vector<Grid<Real> *> type3;
inline const std::vector<Grid<Real> *> &getArg4()
{
return vecRhs;
}
typedef std::vector<Grid<Real> *> type4;
void runMessage()
{
debMsg("Executing kernel ApplyMatrix ", 3);
debMsg("Kernel range"
<< " x " << maxX << " y " << maxY << " z " << minZ << " - " << maxZ << " ",
4);
};
void operator()(const tbb::blocked_range<IndexInt> &__r) const
{
for (IndexInt idx = __r.begin(); idx != (IndexInt)__r.end(); idx++)
op(idx, flags, dst, src, matrixA, vecRhs);
}
void run()
{
tbb::parallel_for(tbb::blocked_range<IndexInt>(0, size), *this);
}
const FlagGrid &flags;
Grid<Real> &dst;
const Grid<Real> &src;
const std::vector<Grid<Real> *> matrixA;
const std::vector<Grid<Real> *> vecRhs;
};
//! Kernel: Apply symmetric stored Matrix. 2D version
struct ApplyMatrix2D : public KernelBase {
ApplyMatrix2D(const FlagGrid &flags,
Grid<Real> &dst,
const Grid<Real> &src,
const std::vector<Grid<Real> *> matrixA,
const std::vector<Grid<Real> *> vecRhs)
: KernelBase(&flags, 0), flags(flags), dst(dst), src(src), matrixA(matrixA), vecRhs(vecRhs)
{
runMessage();
run();
}
inline void op(IndexInt idx,
const FlagGrid &flags,
Grid<Real> &dst,
const Grid<Real> &src,
const std::vector<Grid<Real> *> matrixA,
const std::vector<Grid<Real> *> vecRhs) const
{
unusedParameter(vecRhs); // Not needed in this matrix application
if (matrixA.size() != 3)
errMsg("ConjugatedGrad: Invalid A matrix in apply matrix step");
Grid<Real> &A0 = *matrixA[0];
Grid<Real> &Ai = *matrixA[1];
Grid<Real> &Aj = *matrixA[2];
if (!flags.isFluid(idx)) {
dst[idx] = src[idx];
return;
}
dst[idx] = src[idx] * A0[idx] + src[idx - X] * Ai[idx - X] + src[idx + X] * Ai[idx] +
src[idx - Y] * Aj[idx - Y] + src[idx + Y] * Aj[idx];
}
inline const FlagGrid &getArg0()
{
return flags;
}
typedef FlagGrid type0;
inline Grid<Real> &getArg1()
{
return dst;
}
typedef Grid<Real> type1;
inline const Grid<Real> &getArg2()
{
return src;
}
typedef Grid<Real> type2;
inline const std::vector<Grid<Real> *> &getArg3()
{
return matrixA;
}
typedef std::vector<Grid<Real> *> type3;
inline const std::vector<Grid<Real> *> &getArg4()
{
return vecRhs;
}
typedef std::vector<Grid<Real> *> type4;
void runMessage()
{
debMsg("Executing kernel ApplyMatrix2D ", 3);
debMsg("Kernel range"
<< " x " << maxX << " y " << maxY << " z " << minZ << " - " << maxZ << " ",
4);
};
void operator()(const tbb::blocked_range<IndexInt> &__r) const
{
for (IndexInt idx = __r.begin(); idx != (IndexInt)__r.end(); idx++)
op(idx, flags, dst, src, matrixA, vecRhs);
}
void run()
{
tbb::parallel_for(tbb::blocked_range<IndexInt>(0, size), *this);
}
const FlagGrid &flags;
Grid<Real> &dst;
const Grid<Real> &src;
const std::vector<Grid<Real> *> matrixA;
const std::vector<Grid<Real> *> vecRhs;
};
struct ApplyMatrixViscosityU : public KernelBase {
ApplyMatrixViscosityU(const FlagGrid &flags,
Grid<Real> &dst,
const Grid<Real> &src,
const std::vector<Grid<Real> *> matrixA,
const std::vector<Grid<Real> *> vecRhs)
: KernelBase(&flags, 1), flags(flags), dst(dst), src(src), matrixA(matrixA), vecRhs(vecRhs)
{
runMessage();
run();
}
inline void op(int i,
int j,
int k,
const FlagGrid &flags,
Grid<Real> &dst,
const Grid<Real> &src,
const std::vector<Grid<Real> *> matrixA,
const std::vector<Grid<Real> *> vecRhs) const
{
if (matrixA.size() != 15)
errMsg("ConjugatedGrad: Invalid A matrix in apply matrix step");
Grid<Real> &A0 = *matrixA[0];
Grid<Real> &Aplusi = *matrixA[1];
Grid<Real> &Aplusj = *matrixA[2];
Grid<Real> &Aplusk = *matrixA[3];
Grid<Real> &Aminusi = *matrixA[4];
Grid<Real> &Aminusj = *matrixA[5];
Grid<Real> &Aminusk = *matrixA[6];
if (vecRhs.size() != 2)
errMsg("ConjugatedGrad: Invalid rhs vector in apply matrix step");
Grid<Real> &srcV = *vecRhs[0];
Grid<Real> &srcW = *vecRhs[1];
dst(i, j, k) = src(i, j, k) * A0(i, j, k) + src(i + 1, j, k) * Aplusi(i, j, k) +
src(i, j + 1, k) * Aplusj(i, j, k) + src(i, j, k + 1) * Aplusk(i, j, k) +
src(i - 1, j, k) * Aminusi(i, j, k) + src(i, j - 1, k) * Aminusj(i, j, k) +
src(i, j, k - 1) * Aminusk(i, j, k);
dst(i, j, k) += srcV(i, j + 1, k) * (*matrixA[7])(i, j, k) +
srcV(i - 1, j + 1, k) * (*matrixA[8])(i, j, k) +
srcV(i, j, k) * (*matrixA[9])(i, j, k) +
srcV(i - 1, j, k) * (*matrixA[10])(i, j, k) +
srcW(i, j, k + 1) * (*matrixA[11])(i, j, k) +
srcW(i - 1, j, k + 1) * (*matrixA[12])(i, j, k) +
srcW(i, j, k) * (*matrixA[13])(i, j, k) +
srcW(i - 1, j, k) * (*matrixA[14])(i, j, k);
}
inline const FlagGrid &getArg0()
{
return flags;
}
typedef FlagGrid type0;
inline Grid<Real> &getArg1()
{
return dst;
}
typedef Grid<Real> type1;
inline const Grid<Real> &getArg2()
{
return src;
}
typedef Grid<Real> type2;
inline const std::vector<Grid<Real> *> &getArg3()
{
return matrixA;
}
typedef std::vector<Grid<Real> *> type3;
inline const std::vector<Grid<Real> *> &getArg4()
{
return vecRhs;
}
typedef std::vector<Grid<Real> *> type4;
void runMessage()
{
debMsg("Executing kernel ApplyMatrixViscosityU ", 3);
debMsg("Kernel range"
<< " x " << maxX << " y " << maxY << " z " << minZ << " - " << maxZ << " ",
4);
};
void operator()(const tbb::blocked_range<IndexInt> &__r) const
{
const int _maxX = maxX;
const int _maxY = maxY;
if (maxZ > 1) {
for (int k = __r.begin(); k != (int)__r.end(); k++)
for (int j = 1; j < _maxY; j++)
for (int i = 1; i < _maxX; i++)
op(i, j, k, flags, dst, src, matrixA, vecRhs);
}
else {
const int k = 0;
for (int j = __r.begin(); j != (int)__r.end(); j++)
for (int i = 1; i < _maxX; i++)
op(i, j, k, flags, dst, src, matrixA, vecRhs);
}
}
void run()
{
if (maxZ > 1)
tbb::parallel_for(tbb::blocked_range<IndexInt>(minZ, maxZ), *this);
else
tbb::parallel_for(tbb::blocked_range<IndexInt>(1, maxY), *this);
}
const FlagGrid &flags;
Grid<Real> &dst;
const Grid<Real> &src;
const std::vector<Grid<Real> *> matrixA;
const std::vector<Grid<Real> *> vecRhs;
};
struct ApplyMatrixViscosityV : public KernelBase {
ApplyMatrixViscosityV(const FlagGrid &flags,
Grid<Real> &dst,
const Grid<Real> &src,
const std::vector<Grid<Real> *> matrixA,
const std::vector<Grid<Real> *> vecRhs)
: KernelBase(&flags, 1), flags(flags), dst(dst), src(src), matrixA(matrixA), vecRhs(vecRhs)
{
runMessage();
run();
}
inline void op(int i,
int j,
int k,
const FlagGrid &flags,
Grid<Real> &dst,
const Grid<Real> &src,
const std::vector<Grid<Real> *> matrixA,
const std::vector<Grid<Real> *> vecRhs) const
{
if (matrixA.size() != 15)
errMsg("ConjugatedGrad: Invalid A matrix in apply matrix step");
Grid<Real> &A0 = *matrixA[0];
Grid<Real> &Aplusi = *matrixA[1];
Grid<Real> &Aplusj = *matrixA[2];
Grid<Real> &Aplusk = *matrixA[3];
Grid<Real> &Aminusi = *matrixA[4];
Grid<Real> &Aminusj = *matrixA[5];
Grid<Real> &Aminusk = *matrixA[6];
if (vecRhs.size() != 2)
errMsg("ConjugatedGrad: Invalid rhs vector in apply matrix step");
Grid<Real> &srcU = *vecRhs[0];
Grid<Real> &srcW = *vecRhs[1];
dst(i, j, k) = src(i, j, k) * A0(i, j, k) + src(i + 1, j, k) * Aplusi(i, j, k) +
src(i, j + 1, k) * Aplusj(i, j, k) + src(i, j, k + 1) * Aplusk(i, j, k) +
src(i - 1, j, k) * Aminusi(i, j, k) + src(i, j - 1, k) * Aminusj(i, j, k) +
src(i, j, k - 1) * Aminusk(i, j, k);
dst(i, j, k) += srcU(i + 1, j, k) * (*matrixA[7])(i, j, k) +
srcU(i + 1, j - 1, k) * (*matrixA[8])(i, j, k) +
srcU(i, j, k) * (*matrixA[9])(i, j, k) +
srcU(i, j - 1, k) * (*matrixA[10])(i, j, k) +
srcW(i, j, k + 1) * (*matrixA[11])(i, j, k) +
srcW(i, j - 1, k + 1) * (*matrixA[12])(i, j, k) +
srcW(i, j, k) * (*matrixA[13])(i, j, k) +
srcW(i, j - 1, k) * (*matrixA[14])(i, j, k);
}
inline const FlagGrid &getArg0()
{
return flags;
}
typedef FlagGrid type0;
inline Grid<Real> &getArg1()
{
return dst;
}
typedef Grid<Real> type1;
inline const Grid<Real> &getArg2()
{
return src;
}
typedef Grid<Real> type2;
inline const std::vector<Grid<Real> *> &getArg3()
{
return matrixA;
}
typedef std::vector<Grid<Real> *> type3;
inline const std::vector<Grid<Real> *> &getArg4()
{
return vecRhs;
}
typedef std::vector<Grid<Real> *> type4;
void runMessage()
{
debMsg("Executing kernel ApplyMatrixViscosityV ", 3);
debMsg("Kernel range"
<< " x " << maxX << " y " << maxY << " z " << minZ << " - " << maxZ << " ",
4);
};
void operator()(const tbb::blocked_range<IndexInt> &__r) const
{
const int _maxX = maxX;
const int _maxY = maxY;
if (maxZ > 1) {
for (int k = __r.begin(); k != (int)__r.end(); k++)
for (int j = 1; j < _maxY; j++)
for (int i = 1; i < _maxX; i++)
op(i, j, k, flags, dst, src, matrixA, vecRhs);
}
else {
const int k = 0;
for (int j = __r.begin(); j != (int)__r.end(); j++)
for (int i = 1; i < _maxX; i++)
op(i, j, k, flags, dst, src, matrixA, vecRhs);
}
}
void run()
{
if (maxZ > 1)
tbb::parallel_for(tbb::blocked_range<IndexInt>(minZ, maxZ), *this);
else
tbb::parallel_for(tbb::blocked_range<IndexInt>(1, maxY), *this);
}
const FlagGrid &flags;
Grid<Real> &dst;
const Grid<Real> &src;
const std::vector<Grid<Real> *> matrixA;
const std::vector<Grid<Real> *> vecRhs;
};
struct ApplyMatrixViscosityW : public KernelBase {
ApplyMatrixViscosityW(const FlagGrid &flags,
Grid<Real> &dst,
const Grid<Real> &src,
const std::vector<Grid<Real> *> matrixA,
const std::vector<Grid<Real> *> vecRhs)
: KernelBase(&flags, 1), flags(flags), dst(dst), src(src), matrixA(matrixA), vecRhs(vecRhs)
{
runMessage();
run();
}
inline void op(int i,
int j,
int k,
const FlagGrid &flags,
Grid<Real> &dst,
const Grid<Real> &src,
const std::vector<Grid<Real> *> matrixA,
const std::vector<Grid<Real> *> vecRhs) const
{
if (matrixA.size() != 15)
errMsg("ConjugatedGrad: Invalid A matrix in apply matrix step");
Grid<Real> &A0 = *matrixA[0];
Grid<Real> &Aplusi = *matrixA[1];
Grid<Real> &Aplusj = *matrixA[2];
Grid<Real> &Aplusk = *matrixA[3];
Grid<Real> &Aminusi = *matrixA[4];
Grid<Real> &Aminusj = *matrixA[5];
Grid<Real> &Aminusk = *matrixA[6];
if (vecRhs.size() != 2)
errMsg("ConjugatedGrad: Invalid rhs vector in apply matrix step");
Grid<Real> &srcU = *vecRhs[0];
Grid<Real> &srcV = *vecRhs[1];
dst(i, j, k) = src(i, j, k) * A0(i, j, k) + src(i + 1, j, k) * Aplusi(i, j, k) +
src(i, j + 1, k) * Aplusj(i, j, k) + src(i, j, k + 1) * Aplusk(i, j, k) +
src(i - 1, j, k) * Aminusi(i, j, k) + src(i, j - 1, k) * Aminusj(i, j, k) +
src(i, j, k - 1) * Aminusk(i, j, k);
dst(i, j, k) += srcU(i + 1, j, k) * (*matrixA[7])(i, j, k) +
srcU(i + 1, j, k - 1) * (*matrixA[8])(i, j, k) +
srcU(i, j, k) * (*matrixA[9])(i, j, k) +
srcU(i, j, k - 1) * (*matrixA[10])(i, j, k) +
srcV(i, j + 1, k) * (*matrixA[11])(i, j, k) +
srcV(i, j + 1, k - 1) * (*matrixA[12])(i, j, k) +
srcV(i, j, k) * (*matrixA[13])(i, j, k) +
srcV(i, j, k - 1) * (*matrixA[14])(i, j, k);
}
inline const FlagGrid &getArg0()
{
return flags;
}
typedef FlagGrid type0;
inline Grid<Real> &getArg1()
{
return dst;
}
typedef Grid<Real> type1;
inline const Grid<Real> &getArg2()
{
return src;
}
typedef Grid<Real> type2;
inline const std::vector<Grid<Real> *> &getArg3()
{
return matrixA;
}
typedef std::vector<Grid<Real> *> type3;
inline const std::vector<Grid<Real> *> &getArg4()
{
return vecRhs;
}
typedef std::vector<Grid<Real> *> type4;
void runMessage()
{
debMsg("Executing kernel ApplyMatrixViscosityW ", 3);
debMsg("Kernel range"
<< " x " << maxX << " y " << maxY << " z " << minZ << " - " << maxZ << " ",
4);
};
void operator()(const tbb::blocked_range<IndexInt> &__r) const
{
const int _maxX = maxX;
const int _maxY = maxY;
if (maxZ > 1) {
for (int k = __r.begin(); k != (int)__r.end(); k++)
for (int j = 1; j < _maxY; j++)
for (int i = 1; i < _maxX; i++)
op(i, j, k, flags, dst, src, matrixA, vecRhs);
}
else {
const int k = 0;
for (int j = __r.begin(); j != (int)__r.end(); j++)
for (int i = 1; i < _maxX; i++)
op(i, j, k, flags, dst, src, matrixA, vecRhs);
}
}
void run()
{
if (maxZ > 1)
tbb::parallel_for(tbb::blocked_range<IndexInt>(minZ, maxZ), *this);
else
tbb::parallel_for(tbb::blocked_range<IndexInt>(1, maxY), *this);
}
const FlagGrid &flags;
Grid<Real> &dst;
const Grid<Real> &src;
const std::vector<Grid<Real> *> matrixA;
const std::vector<Grid<Real> *> vecRhs;
};
/* NOTE: Use this template for new matrix application kernels
//! Template for matrix application kernels
KERNEL()
void ApplyMatrixTemplate (const FlagGrid& flags, Grid<Real>& dst, const Grid<Real>& src,
const std::vector<Grid<Real> *> matrixA, const std::vector<Grid<Real> *> vecRhs)
{
// The kernel must define how to use the grids from the matrixA and vecRhs lists
}
*/
//! Kernel: Construct the matrix for the poisson equation
struct MakeLaplaceMatrix : public KernelBase {
MakeLaplaceMatrix(const FlagGrid &flags,
Grid<Real> &A0,
Grid<Real> &Ai,
Grid<Real> &Aj,
Grid<Real> &Ak,
const MACGrid *fractions = 0)
: KernelBase(&flags, 1), flags(flags), A0(A0), Ai(Ai), Aj(Aj), Ak(Ak), fractions(fractions)
{
runMessage();
run();
}
inline void op(int i,
int j,
int k,
const FlagGrid &flags,
Grid<Real> &A0,
Grid<Real> &Ai,
Grid<Real> &Aj,
Grid<Real> &Ak,
const MACGrid *fractions = 0) const
{
if (!flags.isFluid(i, j, k))
return;
if (!fractions) {
// diagonal, A0
if (!flags.isObstacle(i - 1, j, k))
A0(i, j, k) += 1.;
if (!flags.isObstacle(i + 1, j, k))
A0(i, j, k) += 1.;
if (!flags.isObstacle(i, j - 1, k))
A0(i, j, k) += 1.;
if (!flags.isObstacle(i, j + 1, k))
A0(i, j, k) += 1.;
if (flags.is3D() && !flags.isObstacle(i, j, k - 1))
A0(i, j, k) += 1.;
if (flags.is3D() && !flags.isObstacle(i, j, k + 1))
A0(i, j, k) += 1.;
// off-diagonal entries
if (flags.isFluid(i + 1, j, k))
Ai(i, j, k) = -1.;
if (flags.isFluid(i, j + 1, k))
Aj(i, j, k) = -1.;
if (flags.is3D() && flags.isFluid(i, j, k + 1))
Ak(i, j, k) = -1.;
}
else {
// diagonal
A0(i, j, k) += fractions->get(i, j, k).x;
A0(i, j, k) += fractions->get(i + 1, j, k).x;
A0(i, j, k) += fractions->get(i, j, k).y;
A0(i, j, k) += fractions->get(i, j + 1, k).y;
if (flags.is3D())
A0(i, j, k) += fractions->get(i, j, k).z;
if (flags.is3D())
A0(i, j, k) += fractions->get(i, j, k + 1).z;
// off-diagonal entries
if (flags.isFluid(i + 1, j, k))
Ai(i, j, k) = -fractions->get(i + 1, j, k).x;
if (flags.isFluid(i, j + 1, k))
Aj(i, j, k) = -fractions->get(i, j + 1, k).y;
if (flags.is3D() && flags.isFluid(i, j, k + 1))
Ak(i, j, k) = -fractions->get(i, j, k + 1).z;
}
}
inline const FlagGrid &getArg0()
{
return flags;
}
typedef FlagGrid type0;
inline Grid<Real> &getArg1()
{
return A0;
}
typedef Grid<Real> type1;
inline Grid<Real> &getArg2()
{
return Ai;
}
typedef Grid<Real> type2;
inline Grid<Real> &getArg3()
{
return Aj;
}
typedef Grid<Real> type3;
inline Grid<Real> &getArg4()
{
return Ak;
}
typedef Grid<Real> type4;
inline const MACGrid *getArg5()
{
return fractions;
}
typedef MACGrid type5;
void runMessage()
{
debMsg("Executing kernel MakeLaplaceMatrix ", 3);
debMsg("Kernel range"
<< " x " << maxX << " y " << maxY << " z " << minZ << " - " << maxZ << " ",
4);
};
void operator()(const tbb::blocked_range<IndexInt> &__r) const
{
const int _maxX = maxX;
const int _maxY = maxY;
if (maxZ > 1) {
for (int k = __r.begin(); k != (int)__r.end(); k++)
for (int j = 1; j < _maxY; j++)
for (int i = 1; i < _maxX; i++)
op(i, j, k, flags, A0, Ai, Aj, Ak, fractions);
}
else {
const int k = 0;
for (int j = __r.begin(); j != (int)__r.end(); j++)
for (int i = 1; i < _maxX; i++)
op(i, j, k, flags, A0, Ai, Aj, Ak, fractions);
}
}
void run()
{
if (maxZ > 1)
tbb::parallel_for(tbb::blocked_range<IndexInt>(minZ, maxZ), *this);
else
tbb::parallel_for(tbb::blocked_range<IndexInt>(1, maxY), *this);
}
const FlagGrid &flags;
Grid<Real> &A0;
Grid<Real> &Ai;
Grid<Real> &Aj;
Grid<Real> &Ak;
const MACGrid *fractions;
};
} // namespace Manta
#endif
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