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mirror of https://github.com/paboyle/Grid.git synced 2024-11-10 07:55:35 +00:00

Merge remote-tracking branch 'upstream/develop' into feature/kl2QED

This commit is contained in:
Vera Guelpers 2019-01-07 15:09:18 +00:00
commit 447b772136
38 changed files with 4335 additions and 288 deletions

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@ -48,6 +48,12 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <Grid/algorithms/iterative/ConjugateGradientMixedPrec.h>
#include <Grid/algorithms/iterative/BlockConjugateGradient.h>
#include <Grid/algorithms/iterative/ConjugateGradientReliableUpdate.h>
#include <Grid/algorithms/iterative/MinimalResidual.h>
#include <Grid/algorithms/iterative/GeneralisedMinimalResidual.h>
#include <Grid/algorithms/iterative/CommunicationAvoidingGeneralisedMinimalResidual.h>
#include <Grid/algorithms/iterative/FlexibleGeneralisedMinimalResidual.h>
#include <Grid/algorithms/iterative/FlexibleCommunicationAvoidingGeneralisedMinimalResidual.h>
#include <Grid/algorithms/iterative/MixedPrecisionFlexibleGeneralisedMinimalResidual.h>
#include <Grid/algorithms/iterative/ImplicitlyRestartedLanczos.h>
#include <Grid/algorithms/CoarsenedMatrix.h>
#include <Grid/algorithms/FFT.h>

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@ -211,6 +211,7 @@ namespace Grid {
for(int b=0;b<nn;b++){
subspace[b] = zero;
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
@ -295,13 +296,58 @@ namespace Grid {
return norm2(out);
};
RealD Mdag (const CoarseVector &in, CoarseVector &out){
return M(in,out);
RealD Mdag (const CoarseVector &in, CoarseVector &out){
// // corresponds to Petrov-Galerkin coarsening
// return M(in,out);
// corresponds to Galerkin coarsening
CoarseVector tmp(Grid());
G5C(tmp, in);
M(tmp, out);
G5C(out, out);
return norm2(out);
};
// Defer support for further coarsening for now
void Mdiag (const CoarseVector &in, CoarseVector &out){};
void Mdir (const CoarseVector &in, CoarseVector &out,int dir, int disp){};
void Mdir(const CoarseVector &in, CoarseVector &out, int dir, int disp){
conformable(_grid,in._grid);
conformable(in._grid,out._grid);
SimpleCompressor<siteVector> compressor;
Stencil.HaloExchange(in,compressor);
auto point = [dir, disp](){
if(dir == 0 and disp == 0)
return 8;
else
return (4 * dir + 1 - disp) / 2;
}();
parallel_for(int ss=0;ss<Grid()->oSites();ss++){
siteVector res = zero;
siteVector nbr;
int ptype;
StencilEntry *SE;
SE=Stencil.GetEntry(ptype,point,ss);
if(SE->_is_local&&SE->_permute) {
permute(nbr,in._odata[SE->_offset],ptype);
} else if(SE->_is_local) {
nbr = in._odata[SE->_offset];
} else {
nbr = Stencil.CommBuf()[SE->_offset];
}
res = res + A[point]._odata[ss]*nbr;
vstream(out._odata[ss],res);
}
};
void Mdiag(const CoarseVector &in, CoarseVector &out){
Mdir(in, out, 0, 0); // use the self coupling (= last) point of the stencil
};
CoarsenedMatrix(GridCartesian &CoarseGrid) :
@ -417,7 +463,7 @@ namespace Grid {
std::cout<<GridLogMessage<<"Computed Coarse Operator"<<std::endl;
#endif
// ForceHermitian();
AssertHermitian();
// AssertHermitian();
// ForceDiagonal();
}
void ForceDiagonal(void) {

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@ -0,0 +1,244 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/CommunicationAvoidingGeneralisedMinimalResidual.h
Copyright (C) 2015
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_COMMUNICATION_AVOIDING_GENERALISED_MINIMAL_RESIDUAL_H
#define GRID_COMMUNICATION_AVOIDING_GENERALISED_MINIMAL_RESIDUAL_H
namespace Grid {
template<class Field>
class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<Field> {
public:
bool ErrorOnNoConverge; // Throw an assert when CAGMRES fails to converge,
// defaults to true
RealD Tolerance;
Integer MaxIterations;
Integer RestartLength;
Integer MaxNumberOfRestarts;
Integer IterationCount; // Number of iterations the CAGMRES took to finish,
// filled in upon completion
GridStopWatch MatrixTimer;
GridStopWatch LinalgTimer;
GridStopWatch QrTimer;
GridStopWatch CompSolutionTimer;
Eigen::MatrixXcd H;
std::vector<std::complex<double>> y;
std::vector<std::complex<double>> gamma;
std::vector<std::complex<double>> c;
std::vector<std::complex<double>> s;
CommunicationAvoidingGeneralisedMinimalResidual(RealD tol,
Integer maxit,
Integer restart_length,
bool err_on_no_conv = true)
: Tolerance(tol)
, MaxIterations(maxit)
, RestartLength(restart_length)
, MaxNumberOfRestarts(MaxIterations/RestartLength + ((MaxIterations%RestartLength == 0) ? 0 : 1))
, ErrorOnNoConverge(err_on_no_conv)
, H(Eigen::MatrixXcd::Zero(RestartLength, RestartLength + 1)) // sizes taken from DD-αAMG code base
, y(RestartLength + 1, 0.)
, gamma(RestartLength + 1, 0.)
, c(RestartLength + 1, 0.)
, s(RestartLength + 1, 0.) {};
void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) {
std::cout << GridLogWarning << "This algorithm currently doesn't differ from regular GMRES" << std::endl;
psi.checkerboard = src.checkerboard;
conformable(psi, src);
RealD guess = norm2(psi);
assert(std::isnan(guess) == 0);
RealD cp;
RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq;
Field r(src._grid);
std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "CommunicationAvoidingGeneralisedMinimalResidual: guess " << guess << std::endl;
std::cout << GridLogIterative << "CommunicationAvoidingGeneralisedMinimalResidual: src " << ssq << std::endl;
MatrixTimer.Reset();
LinalgTimer.Reset();
QrTimer.Reset();
CompSolutionTimer.Reset();
GridStopWatch SolverTimer;
SolverTimer.Start();
IterationCount = 0;
for (int k=0; k<MaxNumberOfRestarts; k++) {
cp = outerLoopBody(LinOp, src, psi, rsq);
// Stopping condition
if (cp <= rsq) {
SolverTimer.Stop();
LinOp.Op(psi,r);
axpy(r,-1.0,src,r);
RealD srcnorm = sqrt(ssq);
RealD resnorm = sqrt(norm2(r));
RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "CommunicationAvoidingGeneralisedMinimalResidual: Converged on iteration " << IterationCount
<< " computed residual " << sqrt(cp / ssq)
<< " true residual " << true_residual
<< " target " << Tolerance << std::endl;
std::cout << GridLogMessage << "CAGMRES Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "CAGMRES Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "CAGMRES Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "CAGMRES Time elapsed: QR " << QrTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "CAGMRES Time elapsed: CompSol " << CompSolutionTimer.Elapsed() << std::endl;
return;
}
}
std::cout << GridLogMessage << "CommunicationAvoidingGeneralisedMinimalResidual did NOT converge" << std::endl;
if (ErrorOnNoConverge)
assert(0);
}
RealD outerLoopBody(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi, RealD rsq) {
RealD cp = 0;
Field w(src._grid);
Field r(src._grid);
// this should probably be made a class member so that it is only allocated once, not in every restart
std::vector<Field> v(RestartLength + 1, src._grid); for (auto &elem : v) elem = zero;
MatrixTimer.Start();
LinOp.Op(psi, w);
MatrixTimer.Stop();
LinalgTimer.Start();
r = src - w;
gamma[0] = sqrt(norm2(r));
v[0] = (1. / gamma[0]) * r;
LinalgTimer.Stop();
for (int i=0; i<RestartLength; i++) {
IterationCount++;
arnoldiStep(LinOp, v, w, i);
qrUpdate(i);
cp = std::norm(gamma[i+1]);
std::cout << GridLogIterative << "CommunicationAvoidingGeneralisedMinimalResidual: Iteration " << IterationCount
<< " residual " << cp << " target " << rsq << std::endl;
if ((i == RestartLength - 1) || (IterationCount == MaxIterations) || (cp <= rsq)) {
computeSolution(v, psi, i);
return cp;
}
}
assert(0); // Never reached
return cp;
}
void arnoldiStep(LinearOperatorBase<Field> &LinOp, std::vector<Field> &v, Field &w, int iter) {
MatrixTimer.Start();
LinOp.Op(v[iter], w);
MatrixTimer.Stop();
LinalgTimer.Start();
for (int i = 0; i <= iter; ++i) {
H(iter, i) = innerProduct(v[i], w);
w = w - H(iter, i) * v[i];
}
H(iter, iter + 1) = sqrt(norm2(w));
v[iter + 1] = (1. / H(iter, iter + 1)) * w;
LinalgTimer.Stop();
}
void qrUpdate(int iter) {
QrTimer.Start();
for (int i = 0; i < iter ; ++i) {
auto tmp = -s[i] * H(iter, i) + c[i] * H(iter, i + 1);
H(iter, i) = std::conj(c[i]) * H(iter, i) + std::conj(s[i]) * H(iter, i + 1);
H(iter, i + 1) = tmp;
}
// Compute new Givens Rotation
ComplexD nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
c[iter] = H(iter, iter) / nu;
s[iter] = H(iter, iter + 1) / nu;
// Apply new Givens rotation
H(iter, iter) = nu;
H(iter, iter + 1) = 0.;
gamma[iter + 1] = -s[iter] * gamma[iter];
gamma[iter] = std::conj(c[iter]) * gamma[iter];
QrTimer.Stop();
}
void computeSolution(std::vector<Field> const &v, Field &psi, int iter) {
CompSolutionTimer.Start();
for (int i = iter; i >= 0; i--) {
y[i] = gamma[i];
for (int k = i + 1; k <= iter; k++)
y[i] = y[i] - H(k, i) * y[k];
y[i] = y[i] / H(i, i);
}
for (int i = 0; i <= iter; i++)
psi = psi + v[i] * y[i];
CompSolutionTimer.Stop();
}
};
}
#endif

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@ -0,0 +1,256 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/FlexibleCommunicationAvoidingGeneralisedMinimalResidual.h
Copyright (C) 2015
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_FLEXIBLE_COMMUNICATION_AVOIDING_GENERALISED_MINIMAL_RESIDUAL_H
#define GRID_FLEXIBLE_COMMUNICATION_AVOIDING_GENERALISED_MINIMAL_RESIDUAL_H
namespace Grid {
template<class Field>
class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<Field> {
public:
bool ErrorOnNoConverge; // Throw an assert when FCAGMRES fails to converge,
// defaults to true
RealD Tolerance;
Integer MaxIterations;
Integer RestartLength;
Integer MaxNumberOfRestarts;
Integer IterationCount; // Number of iterations the FCAGMRES took to finish,
// filled in upon completion
GridStopWatch MatrixTimer;
GridStopWatch PrecTimer;
GridStopWatch LinalgTimer;
GridStopWatch QrTimer;
GridStopWatch CompSolutionTimer;
Eigen::MatrixXcd H;
std::vector<std::complex<double>> y;
std::vector<std::complex<double>> gamma;
std::vector<std::complex<double>> c;
std::vector<std::complex<double>> s;
LinearFunction<Field> &Preconditioner;
FlexibleCommunicationAvoidingGeneralisedMinimalResidual(RealD tol,
Integer maxit,
LinearFunction<Field> &Prec,
Integer restart_length,
bool err_on_no_conv = true)
: Tolerance(tol)
, MaxIterations(maxit)
, RestartLength(restart_length)
, MaxNumberOfRestarts(MaxIterations/RestartLength + ((MaxIterations%RestartLength == 0) ? 0 : 1))
, ErrorOnNoConverge(err_on_no_conv)
, H(Eigen::MatrixXcd::Zero(RestartLength, RestartLength + 1)) // sizes taken from DD-αAMG code base
, y(RestartLength + 1, 0.)
, gamma(RestartLength + 1, 0.)
, c(RestartLength + 1, 0.)
, s(RestartLength + 1, 0.)
, Preconditioner(Prec) {};
void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) {
std::cout << GridLogWarning << "This algorithm currently doesn't differ from regular FGMRES" << std::endl;
psi.checkerboard = src.checkerboard;
conformable(psi, src);
RealD guess = norm2(psi);
assert(std::isnan(guess) == 0);
RealD cp;
RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq;
Field r(src._grid);
std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: guess " << guess << std::endl;
std::cout << GridLogIterative << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: src " << ssq << std::endl;
PrecTimer.Reset();
MatrixTimer.Reset();
LinalgTimer.Reset();
QrTimer.Reset();
CompSolutionTimer.Reset();
GridStopWatch SolverTimer;
SolverTimer.Start();
IterationCount = 0;
for (int k=0; k<MaxNumberOfRestarts; k++) {
cp = outerLoopBody(LinOp, src, psi, rsq);
// Stopping condition
if (cp <= rsq) {
SolverTimer.Stop();
LinOp.Op(psi,r);
axpy(r,-1.0,src,r);
RealD srcnorm = sqrt(ssq);
RealD resnorm = sqrt(norm2(r));
RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: Converged on iteration " << IterationCount
<< " computed residual " << sqrt(cp / ssq)
<< " true residual " << true_residual
<< " target " << Tolerance << std::endl;
std::cout << GridLogMessage << "FCAGMRES Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FCAGMRES Time elapsed: Precon " << PrecTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FCAGMRES Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FCAGMRES Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FCAGMRES Time elapsed: QR " << QrTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FCAGMRES Time elapsed: CompSol " << CompSolutionTimer.Elapsed() << std::endl;
return;
}
}
std::cout << GridLogMessage << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual did NOT converge" << std::endl;
if (ErrorOnNoConverge)
assert(0);
}
RealD outerLoopBody(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi, RealD rsq) {
RealD cp = 0;
Field w(src._grid);
Field r(src._grid);
// these should probably be made class members so that they are only allocated once, not in every restart
std::vector<Field> v(RestartLength + 1, src._grid); for (auto &elem : v) elem = zero;
std::vector<Field> z(RestartLength + 1, src._grid); for (auto &elem : z) elem = zero;
MatrixTimer.Start();
LinOp.Op(psi, w);
MatrixTimer.Stop();
LinalgTimer.Start();
r = src - w;
gamma[0] = sqrt(norm2(r));
v[0] = (1. / gamma[0]) * r;
LinalgTimer.Stop();
for (int i=0; i<RestartLength; i++) {
IterationCount++;
arnoldiStep(LinOp, v, z, w, i);
qrUpdate(i);
cp = std::norm(gamma[i+1]);
std::cout << GridLogIterative << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: Iteration " << IterationCount
<< " residual " << cp << " target " << rsq << std::endl;
if ((i == RestartLength - 1) || (IterationCount == MaxIterations) || (cp <= rsq)) {
computeSolution(z, psi, i);
return cp;
}
}
assert(0); // Never reached
return cp;
}
void arnoldiStep(LinearOperatorBase<Field> &LinOp, std::vector<Field> &v, std::vector<Field> &z, Field &w, int iter) {
PrecTimer.Start();
Preconditioner(v[iter], z[iter]);
PrecTimer.Stop();
MatrixTimer.Start();
LinOp.Op(z[iter], w);
MatrixTimer.Stop();
LinalgTimer.Start();
for (int i = 0; i <= iter; ++i) {
H(iter, i) = innerProduct(v[i], w);
w = w - H(iter, i) * v[i];
}
H(iter, iter + 1) = sqrt(norm2(w));
v[iter + 1] = (1. / H(iter, iter + 1)) * w;
LinalgTimer.Stop();
}
void qrUpdate(int iter) {
QrTimer.Start();
for (int i = 0; i < iter ; ++i) {
auto tmp = -s[i] * H(iter, i) + c[i] * H(iter, i + 1);
H(iter, i) = std::conj(c[i]) * H(iter, i) + std::conj(s[i]) * H(iter, i + 1);
H(iter, i + 1) = tmp;
}
// Compute new Givens Rotation
ComplexD nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
c[iter] = H(iter, iter) / nu;
s[iter] = H(iter, iter + 1) / nu;
// Apply new Givens rotation
H(iter, iter) = nu;
H(iter, iter + 1) = 0.;
gamma[iter + 1] = -s[iter] * gamma[iter];
gamma[iter] = std::conj(c[iter]) * gamma[iter];
QrTimer.Stop();
}
void computeSolution(std::vector<Field> const &z, Field &psi, int iter) {
CompSolutionTimer.Start();
for (int i = iter; i >= 0; i--) {
y[i] = gamma[i];
for (int k = i + 1; k <= iter; k++)
y[i] = y[i] - H(k, i) * y[k];
y[i] = y[i] / H(i, i);
}
for (int i = 0; i <= iter; i++)
psi = psi + z[i] * y[i];
CompSolutionTimer.Stop();
}
};
}
#endif

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@ -0,0 +1,254 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/FlexibleGeneralisedMinimalResidual.h
Copyright (C) 2015
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_FLEXIBLE_GENERALISED_MINIMAL_RESIDUAL_H
#define GRID_FLEXIBLE_GENERALISED_MINIMAL_RESIDUAL_H
namespace Grid {
template<class Field>
class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
public:
bool ErrorOnNoConverge; // Throw an assert when FGMRES fails to converge,
// defaults to true
RealD Tolerance;
Integer MaxIterations;
Integer RestartLength;
Integer MaxNumberOfRestarts;
Integer IterationCount; // Number of iterations the FGMRES took to finish,
// filled in upon completion
GridStopWatch MatrixTimer;
GridStopWatch PrecTimer;
GridStopWatch LinalgTimer;
GridStopWatch QrTimer;
GridStopWatch CompSolutionTimer;
Eigen::MatrixXcd H;
std::vector<std::complex<double>> y;
std::vector<std::complex<double>> gamma;
std::vector<std::complex<double>> c;
std::vector<std::complex<double>> s;
LinearFunction<Field> &Preconditioner;
FlexibleGeneralisedMinimalResidual(RealD tol,
Integer maxit,
LinearFunction<Field> &Prec,
Integer restart_length,
bool err_on_no_conv = true)
: Tolerance(tol)
, MaxIterations(maxit)
, RestartLength(restart_length)
, MaxNumberOfRestarts(MaxIterations/RestartLength + ((MaxIterations%RestartLength == 0) ? 0 : 1))
, ErrorOnNoConverge(err_on_no_conv)
, H(Eigen::MatrixXcd::Zero(RestartLength, RestartLength + 1)) // sizes taken from DD-αAMG code base
, y(RestartLength + 1, 0.)
, gamma(RestartLength + 1, 0.)
, c(RestartLength + 1, 0.)
, s(RestartLength + 1, 0.)
, Preconditioner(Prec) {};
void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) {
psi.checkerboard = src.checkerboard;
conformable(psi, src);
RealD guess = norm2(psi);
assert(std::isnan(guess) == 0);
RealD cp;
RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq;
Field r(src._grid);
std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "FlexibleGeneralisedMinimalResidual: guess " << guess << std::endl;
std::cout << GridLogIterative << "FlexibleGeneralisedMinimalResidual: src " << ssq << std::endl;
PrecTimer.Reset();
MatrixTimer.Reset();
LinalgTimer.Reset();
QrTimer.Reset();
CompSolutionTimer.Reset();
GridStopWatch SolverTimer;
SolverTimer.Start();
IterationCount = 0;
for (int k=0; k<MaxNumberOfRestarts; k++) {
cp = outerLoopBody(LinOp, src, psi, rsq);
// Stopping condition
if (cp <= rsq) {
SolverTimer.Stop();
LinOp.Op(psi,r);
axpy(r,-1.0,src,r);
RealD srcnorm = sqrt(ssq);
RealD resnorm = sqrt(norm2(r));
RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "FlexibleGeneralisedMinimalResidual: Converged on iteration " << IterationCount
<< " computed residual " << sqrt(cp / ssq)
<< " true residual " << true_residual
<< " target " << Tolerance << std::endl;
std::cout << GridLogMessage << "FGMRES Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FGMRES Time elapsed: Precon " << PrecTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FGMRES Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FGMRES Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FGMRES Time elapsed: QR " << QrTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FGMRES Time elapsed: CompSol " << CompSolutionTimer.Elapsed() << std::endl;
return;
}
}
std::cout << GridLogMessage << "FlexibleGeneralisedMinimalResidual did NOT converge" << std::endl;
if (ErrorOnNoConverge)
assert(0);
}
RealD outerLoopBody(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi, RealD rsq) {
RealD cp = 0;
Field w(src._grid);
Field r(src._grid);
// these should probably be made class members so that they are only allocated once, not in every restart
std::vector<Field> v(RestartLength + 1, src._grid); for (auto &elem : v) elem = zero;
std::vector<Field> z(RestartLength + 1, src._grid); for (auto &elem : z) elem = zero;
MatrixTimer.Start();
LinOp.Op(psi, w);
MatrixTimer.Stop();
LinalgTimer.Start();
r = src - w;
gamma[0] = sqrt(norm2(r));
v[0] = (1. / gamma[0]) * r;
LinalgTimer.Stop();
for (int i=0; i<RestartLength; i++) {
IterationCount++;
arnoldiStep(LinOp, v, z, w, i);
qrUpdate(i);
cp = std::norm(gamma[i+1]);
std::cout << GridLogIterative << "FlexibleGeneralisedMinimalResidual: Iteration " << IterationCount
<< " residual " << cp << " target " << rsq << std::endl;
if ((i == RestartLength - 1) || (IterationCount == MaxIterations) || (cp <= rsq)) {
computeSolution(z, psi, i);
return cp;
}
}
assert(0); // Never reached
return cp;
}
void arnoldiStep(LinearOperatorBase<Field> &LinOp, std::vector<Field> &v, std::vector<Field> &z, Field &w, int iter) {
PrecTimer.Start();
Preconditioner(v[iter], z[iter]);
PrecTimer.Stop();
MatrixTimer.Start();
LinOp.Op(z[iter], w);
MatrixTimer.Stop();
LinalgTimer.Start();
for (int i = 0; i <= iter; ++i) {
H(iter, i) = innerProduct(v[i], w);
w = w - H(iter, i) * v[i];
}
H(iter, iter + 1) = sqrt(norm2(w));
v[iter + 1] = (1. / H(iter, iter + 1)) * w;
LinalgTimer.Stop();
}
void qrUpdate(int iter) {
QrTimer.Start();
for (int i = 0; i < iter ; ++i) {
auto tmp = -s[i] * H(iter, i) + c[i] * H(iter, i + 1);
H(iter, i) = std::conj(c[i]) * H(iter, i) + std::conj(s[i]) * H(iter, i + 1);
H(iter, i + 1) = tmp;
}
// Compute new Givens Rotation
ComplexD nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
c[iter] = H(iter, iter) / nu;
s[iter] = H(iter, iter + 1) / nu;
// Apply new Givens rotation
H(iter, iter) = nu;
H(iter, iter + 1) = 0.;
gamma[iter + 1] = -s[iter] * gamma[iter];
gamma[iter] = std::conj(c[iter]) * gamma[iter];
QrTimer.Stop();
}
void computeSolution(std::vector<Field> const &z, Field &psi, int iter) {
CompSolutionTimer.Start();
for (int i = iter; i >= 0; i--) {
y[i] = gamma[i];
for (int k = i + 1; k <= iter; k++)
y[i] = y[i] - H(k, i) * y[k];
y[i] = y[i] / H(i, i);
}
for (int i = 0; i <= iter; i++)
psi = psi + z[i] * y[i];
CompSolutionTimer.Stop();
}
};
}
#endif

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@ -0,0 +1,242 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/GeneralisedMinimalResidual.h
Copyright (C) 2015
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_GENERALISED_MINIMAL_RESIDUAL_H
#define GRID_GENERALISED_MINIMAL_RESIDUAL_H
namespace Grid {
template<class Field>
class GeneralisedMinimalResidual : public OperatorFunction<Field> {
public:
bool ErrorOnNoConverge; // Throw an assert when GMRES fails to converge,
// defaults to true
RealD Tolerance;
Integer MaxIterations;
Integer RestartLength;
Integer MaxNumberOfRestarts;
Integer IterationCount; // Number of iterations the GMRES took to finish,
// filled in upon completion
GridStopWatch MatrixTimer;
GridStopWatch LinalgTimer;
GridStopWatch QrTimer;
GridStopWatch CompSolutionTimer;
Eigen::MatrixXcd H;
std::vector<std::complex<double>> y;
std::vector<std::complex<double>> gamma;
std::vector<std::complex<double>> c;
std::vector<std::complex<double>> s;
GeneralisedMinimalResidual(RealD tol,
Integer maxit,
Integer restart_length,
bool err_on_no_conv = true)
: Tolerance(tol)
, MaxIterations(maxit)
, RestartLength(restart_length)
, MaxNumberOfRestarts(MaxIterations/RestartLength + ((MaxIterations%RestartLength == 0) ? 0 : 1))
, ErrorOnNoConverge(err_on_no_conv)
, H(Eigen::MatrixXcd::Zero(RestartLength, RestartLength + 1)) // sizes taken from DD-αAMG code base
, y(RestartLength + 1, 0.)
, gamma(RestartLength + 1, 0.)
, c(RestartLength + 1, 0.)
, s(RestartLength + 1, 0.) {};
void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) {
psi.checkerboard = src.checkerboard;
conformable(psi, src);
RealD guess = norm2(psi);
assert(std::isnan(guess) == 0);
RealD cp;
RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq;
Field r(src._grid);
std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "GeneralisedMinimalResidual: guess " << guess << std::endl;
std::cout << GridLogIterative << "GeneralisedMinimalResidual: src " << ssq << std::endl;
MatrixTimer.Reset();
LinalgTimer.Reset();
QrTimer.Reset();
CompSolutionTimer.Reset();
GridStopWatch SolverTimer;
SolverTimer.Start();
IterationCount = 0;
for (int k=0; k<MaxNumberOfRestarts; k++) {
cp = outerLoopBody(LinOp, src, psi, rsq);
// Stopping condition
if (cp <= rsq) {
SolverTimer.Stop();
LinOp.Op(psi,r);
axpy(r,-1.0,src,r);
RealD srcnorm = sqrt(ssq);
RealD resnorm = sqrt(norm2(r));
RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "GeneralisedMinimalResidual: Converged on iteration " << IterationCount
<< " computed residual " << sqrt(cp / ssq)
<< " true residual " << true_residual
<< " target " << Tolerance << std::endl;
std::cout << GridLogMessage << "GMRES Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "GMRES Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "GMRES Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "GMRES Time elapsed: QR " << QrTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "GMRES Time elapsed: CompSol " << CompSolutionTimer.Elapsed() << std::endl;
return;
}
}
std::cout << GridLogMessage << "GeneralisedMinimalResidual did NOT converge" << std::endl;
if (ErrorOnNoConverge)
assert(0);
}
RealD outerLoopBody(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi, RealD rsq) {
RealD cp = 0;
Field w(src._grid);
Field r(src._grid);
// this should probably be made a class member so that it is only allocated once, not in every restart
std::vector<Field> v(RestartLength + 1, src._grid); for (auto &elem : v) elem = zero;
MatrixTimer.Start();
LinOp.Op(psi, w);
MatrixTimer.Stop();
LinalgTimer.Start();
r = src - w;
gamma[0] = sqrt(norm2(r));
v[0] = (1. / gamma[0]) * r;
LinalgTimer.Stop();
for (int i=0; i<RestartLength; i++) {
IterationCount++;
arnoldiStep(LinOp, v, w, i);
qrUpdate(i);
cp = std::norm(gamma[i+1]);
std::cout << GridLogIterative << "GeneralisedMinimalResidual: Iteration " << IterationCount
<< " residual " << cp << " target " << rsq << std::endl;
if ((i == RestartLength - 1) || (IterationCount == MaxIterations) || (cp <= rsq)) {
computeSolution(v, psi, i);
return cp;
}
}
assert(0); // Never reached
return cp;
}
void arnoldiStep(LinearOperatorBase<Field> &LinOp, std::vector<Field> &v, Field &w, int iter) {
MatrixTimer.Start();
LinOp.Op(v[iter], w);
MatrixTimer.Stop();
LinalgTimer.Start();
for (int i = 0; i <= iter; ++i) {
H(iter, i) = innerProduct(v[i], w);
w = w - H(iter, i) * v[i];
}
H(iter, iter + 1) = sqrt(norm2(w));
v[iter + 1] = (1. / H(iter, iter + 1)) * w;
LinalgTimer.Stop();
}
void qrUpdate(int iter) {
QrTimer.Start();
for (int i = 0; i < iter ; ++i) {
auto tmp = -s[i] * H(iter, i) + c[i] * H(iter, i + 1);
H(iter, i) = std::conj(c[i]) * H(iter, i) + std::conj(s[i]) * H(iter, i + 1);
H(iter, i + 1) = tmp;
}
// Compute new Givens Rotation
ComplexD nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
c[iter] = H(iter, iter) / nu;
s[iter] = H(iter, iter + 1) / nu;
// Apply new Givens rotation
H(iter, iter) = nu;
H(iter, iter + 1) = 0.;
gamma[iter + 1] = -s[iter] * gamma[iter];
gamma[iter] = std::conj(c[iter]) * gamma[iter];
QrTimer.Stop();
}
void computeSolution(std::vector<Field> const &v, Field &psi, int iter) {
CompSolutionTimer.Start();
for (int i = iter; i >= 0; i--) {
y[i] = gamma[i];
for (int k = i + 1; k <= iter; k++)
y[i] = y[i] - H(k, i) * y[k];
y[i] = y[i] / H(i, i);
}
for (int i = 0; i <= iter; i++)
psi = psi + v[i] * y[i];
CompSolutionTimer.Stop();
}
};
}
#endif

View File

@ -0,0 +1,156 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/MinimalResidual.h
Copyright (C) 2015
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_MINIMAL_RESIDUAL_H
#define GRID_MINIMAL_RESIDUAL_H
namespace Grid {
template<class Field> class MinimalResidual : public OperatorFunction<Field> {
public:
bool ErrorOnNoConverge; // throw an assert when the MR fails to converge.
// Defaults true.
RealD Tolerance;
Integer MaxIterations;
RealD overRelaxParam;
Integer IterationsToComplete; // Number of iterations the MR took to finish.
// Filled in upon completion
MinimalResidual(RealD tol, Integer maxit, Real ovrelparam = 1.0, bool err_on_no_conv = true)
: Tolerance(tol), MaxIterations(maxit), overRelaxParam(ovrelparam), ErrorOnNoConverge(err_on_no_conv){};
void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) {
psi.checkerboard = src.checkerboard;
conformable(psi, src);
Complex a, c;
Real d;
Field Mr(src);
Field r(src);
// Initial residual computation & set up
RealD guess = norm2(psi);
assert(std::isnan(guess) == 0);
RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq;
Linop.Op(psi, Mr);
r = src - Mr;
RealD cp = norm2(r);
std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "MinimalResidual: guess " << guess << std::endl;
std::cout << GridLogIterative << "MinimalResidual: src " << ssq << std::endl;
std::cout << GridLogIterative << "MinimalResidual: mp " << d << std::endl;
std::cout << GridLogIterative << "MinimalResidual: cp,r " << cp << std::endl;
if (cp <= rsq) {
return;
}
std::cout << GridLogIterative << "MinimalResidual: k=0 residual " << cp << " target " << rsq << std::endl;
GridStopWatch LinalgTimer;
GridStopWatch MatrixTimer;
GridStopWatch SolverTimer;
SolverTimer.Start();
int k;
for (k = 1; k <= MaxIterations; k++) {
MatrixTimer.Start();
Linop.Op(r, Mr);
MatrixTimer.Stop();
LinalgTimer.Start();
c = innerProduct(Mr, r);
d = norm2(Mr);
a = c / d;
a = a * overRelaxParam;
psi = psi + r * a;
r = r - Mr * a;
cp = norm2(r);
LinalgTimer.Stop();
std::cout << GridLogIterative << "MinimalResidual: Iteration " << k
<< " residual " << cp << " target " << rsq << std::endl;
std::cout << GridLogDebug << "a = " << a << " c = " << c << " d = " << d << std::endl;
// Stopping condition
if (cp <= rsq) {
SolverTimer.Stop();
Linop.Op(psi, Mr);
r = src - Mr;
RealD srcnorm = sqrt(ssq);
RealD resnorm = sqrt(norm2(r));
RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "MinimalResidual Converged on iteration " << k
<< " computed residual " << sqrt(cp / ssq)
<< " true residual " << true_residual
<< " target " << Tolerance << std::endl;
std::cout << GridLogMessage << "MR Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "MR Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "MR Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
if (ErrorOnNoConverge)
assert(true_residual / Tolerance < 10000.0);
IterationsToComplete = k;
return;
}
}
std::cout << GridLogMessage << "MinimalResidual did NOT converge"
<< std::endl;
if (ErrorOnNoConverge)
assert(0);
IterationsToComplete = k;
}
};
} // namespace Grid
#endif

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@ -0,0 +1,273 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/MixedPrecisionFlexibleGeneralisedMinimalResidual.h
Copyright (C) 2015
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_MIXED_PRECISION_FLEXIBLE_GENERALISED_MINIMAL_RESIDUAL_H
#define GRID_MIXED_PRECISION_FLEXIBLE_GENERALISED_MINIMAL_RESIDUAL_H
namespace Grid {
template<class FieldD, class FieldF, typename std::enable_if<getPrecision<FieldD>::value == 2, int>::type = 0, typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction<FieldD> {
public:
bool ErrorOnNoConverge; // Throw an assert when MPFGMRES fails to converge,
// defaults to true
RealD Tolerance;
Integer MaxIterations;
Integer RestartLength;
Integer MaxNumberOfRestarts;
Integer IterationCount; // Number of iterations the MPFGMRES took to finish,
// filled in upon completion
GridStopWatch MatrixTimer;
GridStopWatch PrecTimer;
GridStopWatch LinalgTimer;
GridStopWatch QrTimer;
GridStopWatch CompSolutionTimer;
GridStopWatch ChangePrecTimer;
Eigen::MatrixXcd H;
std::vector<std::complex<double>> y;
std::vector<std::complex<double>> gamma;
std::vector<std::complex<double>> c;
std::vector<std::complex<double>> s;
GridBase* SinglePrecGrid;
LinearFunction<FieldF> &Preconditioner;
MixedPrecisionFlexibleGeneralisedMinimalResidual(RealD tol,
Integer maxit,
GridBase * sp_grid,
LinearFunction<FieldF> &Prec,
Integer restart_length,
bool err_on_no_conv = true)
: Tolerance(tol)
, MaxIterations(maxit)
, RestartLength(restart_length)
, MaxNumberOfRestarts(MaxIterations/RestartLength + ((MaxIterations%RestartLength == 0) ? 0 : 1))
, ErrorOnNoConverge(err_on_no_conv)
, H(Eigen::MatrixXcd::Zero(RestartLength, RestartLength + 1)) // sizes taken from DD-αAMG code base
, y(RestartLength + 1, 0.)
, gamma(RestartLength + 1, 0.)
, c(RestartLength + 1, 0.)
, s(RestartLength + 1, 0.)
, SinglePrecGrid(sp_grid)
, Preconditioner(Prec) {};
void operator()(LinearOperatorBase<FieldD> &LinOp, const FieldD &src, FieldD &psi) {
psi.checkerboard = src.checkerboard;
conformable(psi, src);
RealD guess = norm2(psi);
assert(std::isnan(guess) == 0);
RealD cp;
RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq;
FieldD r(src._grid);
std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "MPFGMRES: guess " << guess << std::endl;
std::cout << GridLogIterative << "MPFGMRES: src " << ssq << std::endl;
PrecTimer.Reset();
MatrixTimer.Reset();
LinalgTimer.Reset();
QrTimer.Reset();
CompSolutionTimer.Reset();
ChangePrecTimer.Reset();
GridStopWatch SolverTimer;
SolverTimer.Start();
IterationCount = 0;
for (int k=0; k<MaxNumberOfRestarts; k++) {
cp = outerLoopBody(LinOp, src, psi, rsq);
// Stopping condition
if (cp <= rsq) {
SolverTimer.Stop();
LinOp.Op(psi,r);
axpy(r,-1.0,src,r);
RealD srcnorm = sqrt(ssq);
RealD resnorm = sqrt(norm2(r));
RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "MPFGMRES: Converged on iteration " << IterationCount
<< " computed residual " << sqrt(cp / ssq)
<< " true residual " << true_residual
<< " target " << Tolerance << std::endl;
std::cout << GridLogMessage << "MPFGMRES Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "MPFGMRES Time elapsed: Precon " << PrecTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "MPFGMRES Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "MPFGMRES Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "MPFGMRES Time elapsed: QR " << QrTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "MPFGMRES Time elapsed: CompSol " << CompSolutionTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "MPFGMRES Time elapsed: PrecChange " << ChangePrecTimer.Elapsed() << std::endl;
return;
}
}
std::cout << GridLogMessage << "MPFGMRES did NOT converge" << std::endl;
if (ErrorOnNoConverge)
assert(0);
}
RealD outerLoopBody(LinearOperatorBase<FieldD> &LinOp, const FieldD &src, FieldD &psi, RealD rsq) {
RealD cp = 0;
FieldD w(src._grid);
FieldD r(src._grid);
// these should probably be made class members so that they are only allocated once, not in every restart
std::vector<FieldD> v(RestartLength + 1, src._grid); for (auto &elem : v) elem = zero;
std::vector<FieldD> z(RestartLength + 1, src._grid); for (auto &elem : z) elem = zero;
MatrixTimer.Start();
LinOp.Op(psi, w);
MatrixTimer.Stop();
LinalgTimer.Start();
r = src - w;
gamma[0] = sqrt(norm2(r));
v[0] = (1. / gamma[0]) * r;
LinalgTimer.Stop();
for (int i=0; i<RestartLength; i++) {
IterationCount++;
arnoldiStep(LinOp, v, z, w, i);
qrUpdate(i);
cp = std::norm(gamma[i+1]);
std::cout << GridLogIterative << "MPFGMRES: Iteration " << IterationCount
<< " residual " << cp << " target " << rsq << std::endl;
if ((i == RestartLength - 1) || (IterationCount == MaxIterations) || (cp <= rsq)) {
computeSolution(z, psi, i);
return cp;
}
}
assert(0); // Never reached
return cp;
}
void arnoldiStep(LinearOperatorBase<FieldD> &LinOp, std::vector<FieldD> &v, std::vector<FieldD> &z, FieldD &w, int iter) {
FieldF v_f(SinglePrecGrid);
FieldF z_f(SinglePrecGrid);
ChangePrecTimer.Start();
precisionChange(v_f, v[iter]);
precisionChange(z_f, z[iter]);
ChangePrecTimer.Stop();
PrecTimer.Start();
Preconditioner(v_f, z_f);
PrecTimer.Stop();
ChangePrecTimer.Start();
precisionChange(z[iter], z_f);
ChangePrecTimer.Stop();
MatrixTimer.Start();
LinOp.Op(z[iter], w);
MatrixTimer.Stop();
LinalgTimer.Start();
for (int i = 0; i <= iter; ++i) {
H(iter, i) = innerProduct(v[i], w);
w = w - H(iter, i) * v[i];
}
H(iter, iter + 1) = sqrt(norm2(w));
v[iter + 1] = (1. / H(iter, iter + 1)) * w;
LinalgTimer.Stop();
}
void qrUpdate(int iter) {
QrTimer.Start();
for (int i = 0; i < iter ; ++i) {
auto tmp = -s[i] * H(iter, i) + c[i] * H(iter, i + 1);
H(iter, i) = std::conj(c[i]) * H(iter, i) + std::conj(s[i]) * H(iter, i + 1);
H(iter, i + 1) = tmp;
}
// Compute new Givens Rotation
ComplexD nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
c[iter] = H(iter, iter) / nu;
s[iter] = H(iter, iter + 1) / nu;
// Apply new Givens rotation
H(iter, iter) = nu;
H(iter, iter + 1) = 0.;
gamma[iter + 1] = -s[iter] * gamma[iter];
gamma[iter] = std::conj(c[iter]) * gamma[iter];
QrTimer.Stop();
}
void computeSolution(std::vector<FieldD> const &z, FieldD &psi, int iter) {
CompSolutionTimer.Start();
for (int i = iter; i >= 0; i--) {
y[i] = gamma[i];
for (int k = i + 1; k <= iter; k++)
y[i] = y[i] - H(k, i) * y[k];
y[i] = y[i] / H(i, i);
}
for (int i = 0; i <= iter; i++)
psi = psi + z[i] * y[i];
CompSolutionTimer.Stop();
}
};
}
#endif

View File

@ -139,8 +139,11 @@ namespace Grid {
MatTimer.Start();
Linop.HermOpAndNorm(psi,Az,zAz,zAAz);
MatTimer.Stop();
LinalgTimer.Start();
r=src-Az;
LinalgTimer.Stop();
/////////////////////
// p = Prec(r)
/////////////////////
@ -152,8 +155,10 @@ namespace Grid {
Linop.HermOp(z,tmp);
MatTimer.Stop();
LinalgTimer.Start();
ttmp=tmp;
tmp=tmp-r;
LinalgTimer.Stop();
/*
std::cout<<GridLogMessage<<r<<std::endl;
@ -166,12 +171,14 @@ namespace Grid {
Linop.HermOpAndNorm(z,Az,zAz,zAAz);
MatTimer.Stop();
LinalgTimer.Start();
//p[0],q[0],qq[0]
p[0]= z;
q[0]= Az;
qq[0]= zAAz;
cp =norm2(r);
LinalgTimer.Stop();
for(int k=0;k<nstep;k++){
@ -181,12 +188,14 @@ namespace Grid {
int peri_k = k %mmax;
int peri_kp= kp%mmax;
LinalgTimer.Start();
rq= real(innerProduct(r,q[peri_k])); // what if rAr not real?
a = rq/qq[peri_k];
axpy(psi,a,p[peri_k],psi);
cp = axpy_norm(r,-a,q[peri_k],r);
cp = axpy_norm(r,-a,q[peri_k],r);
LinalgTimer.Stop();
if((k==nstep-1)||(cp<rsq)){
return cp;
@ -202,6 +211,8 @@ namespace Grid {
Linop.HermOpAndNorm(z,Az,zAz,zAAz);
Linop.HermOp(z,tmp);
MatTimer.Stop();
LinalgTimer.Start();
tmp=tmp-r;
std::cout<<GridLogMessage<< " Preconditioner resid " <<sqrt(norm2(tmp)/norm2(r))<<std::endl;
@ -219,9 +230,9 @@ namespace Grid {
}
qq[peri_kp]=norm2(q[peri_kp]); // could use axpy_norm
LinalgTimer.Stop();
}
assert(0); // never reached
return cp;
}

View File

@ -59,6 +59,7 @@ void GridLogTimestamp(int on){
}
Colours GridLogColours(0);
GridLogger GridLogMG (1, "MG" , GridLogColours, "NORMAL");
GridLogger GridLogIRL (1, "IRL" , GridLogColours, "NORMAL");
GridLogger GridLogSolver (1, "Solver", GridLogColours, "NORMAL");
GridLogger GridLogError (1, "Error" , GridLogColours, "RED");

View File

@ -169,6 +169,7 @@ public:
void GridLogConfigure(std::vector<std::string> &logstreams);
extern GridLogger GridLogMG;
extern GridLogger GridLogIRL;
extern GridLogger GridLogSolver;
extern GridLogger GridLogError;

View File

@ -4,9 +4,11 @@
Source file: ./lib/qcd/action/gauge/Photon.h
Copyright (C) 2015
Copyright (C) 2015-2018
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: Antonin Portelli <antonin.portelli@me.com>
Author: James Harrison <J.Harrison@soton.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@ -30,8 +32,9 @@
namespace Grid{
namespace QCD{
template <class S>
class QedGimpl
class QedGImpl
{
public:
typedef S Simd;
@ -43,27 +46,27 @@ namespace QCD{
typedef iImplGaugeLink<Simd> SiteLink;
typedef iImplGaugeField<Simd> SiteField;
typedef SiteField SiteComplex;
typedef SiteLink SiteComplex;
typedef Lattice<SiteLink> LinkField;
typedef Lattice<SiteField> Field;
typedef Field ComplexField;
};
typedef QedGimpl<vComplex> QedGimplR;
typedef QedGImpl<vComplex> QedGImplR;
template<class Gimpl>
template <class GImpl>
class Photon
{
public:
INHERIT_GIMPL_TYPES(Gimpl);
INHERIT_GIMPL_TYPES(GImpl);
typedef typename SiteGaugeLink::scalar_object ScalarSite;
typedef typename ScalarSite::scalar_type ScalarComplex;
GRID_SERIALIZABLE_ENUM(Gauge, undef, feynman, 1, coulomb, 2, landau, 3);
GRID_SERIALIZABLE_ENUM(ZmScheme, undef, qedL, 1, qedTL, 2, qedInf, 3);
GRID_SERIALIZABLE_ENUM(ZmScheme, undef, qedL, 1, qedTL, 2);
public:
Photon(Gauge gauge, ZmScheme zmScheme);
Photon(Gauge gauge, ZmScheme zmScheme, std::vector<Real> improvements);
Photon(Gauge gauge, ZmScheme zmScheme, Real G0);
Photon(Gauge gauge, ZmScheme zmScheme, std::vector<Real> improvements, Real G0);
Photon(GridBase *grid, Gauge gauge, ZmScheme zmScheme, std::vector<Real> improvement);
Photon(GridBase *grid, Gauge gauge, ZmScheme zmScheme);
virtual ~Photon(void) = default;
void FreePropagator(const GaugeField &in, GaugeField &out);
void MomentumSpacePropagator(const GaugeField &in, GaugeField &out);
@ -73,345 +76,255 @@ namespace QCD{
const GaugeLinkField &weight);
void UnitField(GaugeField &out);
private:
void infVolPropagator(GaugeLinkField &out);
void invKHatSquared(GaugeLinkField &out);
void makeSpatialNorm(LatticeInteger &spNrm);
void makeKHat(std::vector<GaugeLinkField> &khat);
void makeInvKHatSquared(GaugeLinkField &out);
void zmSub(GaugeLinkField &out);
void transverseProjectSpatial(GaugeField &out);
void gaugeTransform(GaugeField &out);
private:
Gauge gauge_;
ZmScheme zmScheme_;
std::vector<Real> improvement_;
Real G0_;
GridBase *grid_;
Gauge gauge_;
ZmScheme zmScheme_;
std::vector<Real> improvement_;
};
typedef Photon<QedGimplR> PhotonR;
typedef Photon<QedGImplR> PhotonR;
template<class Gimpl>
Photon<Gimpl>::Photon(Gauge gauge, ZmScheme zmScheme)
: gauge_(gauge), zmScheme_(zmScheme), improvement_(std::vector<Real>()),
G0_(0.15493339023106021408483720810737508876916113364521)
{}
template<class Gimpl>
Photon<Gimpl>::Photon(Gauge gauge, ZmScheme zmScheme,
template<class GImpl>
Photon<GImpl>::Photon(GridBase *grid, Gauge gauge, ZmScheme zmScheme,
std::vector<Real> improvements)
: gauge_(gauge), zmScheme_(zmScheme), improvement_(improvements),
G0_(0.15493339023106021408483720810737508876916113364521)
: grid_(grid), gauge_(gauge), zmScheme_(zmScheme), improvement_(improvements)
{}
template<class Gimpl>
Photon<Gimpl>::Photon(Gauge gauge, ZmScheme zmScheme, Real G0)
: gauge_(gauge), zmScheme_(zmScheme), improvement_(std::vector<Real>()), G0_(G0)
template<class GImpl>
Photon<GImpl>::Photon(GridBase *grid, Gauge gauge, ZmScheme zmScheme)
: Photon(grid, gauge, zmScheme, std::vector<Real>())
{}
template<class Gimpl>
Photon<Gimpl>::Photon(Gauge gauge, ZmScheme zmScheme,
std::vector<Real> improvements, Real G0)
: gauge_(gauge), zmScheme_(zmScheme), improvement_(improvements), G0_(G0)
{}
template<class Gimpl>
void Photon<Gimpl>::FreePropagator (const GaugeField &in,GaugeField &out)
template<class GImpl>
void Photon<GImpl>::FreePropagator(const GaugeField &in, GaugeField &out)
{
FFT theFFT(in._grid);
FFT theFFT(dynamic_cast<GridCartesian *>(grid_));
GaugeField in_k(grid_);
GaugeField prop_k(grid_);
GaugeField in_k(in._grid);
GaugeField prop_k(in._grid);
theFFT.FFT_all_dim(in_k,in,FFT::forward);
MomentumSpacePropagator(prop_k,in_k);
theFFT.FFT_all_dim(out,prop_k,FFT::backward);
theFFT.FFT_all_dim(in_k, in, FFT::forward);
MomentumSpacePropagator(prop_k, in_k);
theFFT.FFT_all_dim(out, prop_k, FFT::backward);
}
template<class Gimpl>
void Photon<Gimpl>::infVolPropagator(GaugeLinkField &out)
template<class GImpl>
void Photon<GImpl>::makeSpatialNorm(LatticeInteger &spNrm)
{
auto *grid = dynamic_cast<GridCartesian *>(out._grid);
LatticeReal xmu(grid);
GaugeLinkField one(grid);
const unsigned int nd = grid->_ndimension;
std::vector<int> &l = grid->_fdimensions;
std::vector<int> x0(nd,0);
TComplex Tone = Complex(1.0,0.0);
TComplex Tzero = Complex(G0_,0.0);
FFT fft(grid);
LatticeInteger coor(grid_);
std::vector<int> l = grid_->FullDimensions();
spNrm = zero;
for(int mu = 0; mu < grid_->Nd() - 1; mu++)
{
LatticeCoordinate(coor, mu);
coor = where(coor < Integer(l[mu]/2), coor, coor - Integer(l[mu]));
spNrm = spNrm + coor*coor;
}
}
template<class GImpl>
void Photon<GImpl>::makeKHat(std::vector<GaugeLinkField> &khat)
{
const unsigned int nd = grid_->Nd();
std::vector<int> l = grid_->FullDimensions();
Complex ci(0., 1.);
khat.resize(nd, grid_);
for (unsigned int mu = 0; mu < nd; ++mu)
{
Real piL = M_PI/l[mu];
LatticeCoordinate(khat[mu], mu);
khat[mu] = exp(piL*ci*khat[mu])*2.*sin(piL*khat[mu]);
}
}
template<class GImpl>
void Photon<GImpl>::makeInvKHatSquared(GaugeLinkField &out)
{
std::vector<GaugeLinkField> khat;
GaugeLinkField lone(grid_);
const unsigned int nd = grid_->Nd();
std::vector<int> zm(nd, 0);
ScalarSite one = ScalarComplex(1., 0.), z = ScalarComplex(0., 0.);
one = Complex(1.0,0.0);
out = zero;
makeKHat(khat);
for(int mu = 0; mu < nd; mu++)
{
LatticeCoordinate(xmu,mu);
Real lo2 = l[mu]/2.0;
xmu = where(xmu < lo2, xmu, xmu-double(l[mu]));
out = out + toComplex(4*M_PI*M_PI*xmu*xmu);
out = out + khat[mu]*conjugate(khat[mu]);
}
pokeSite(Tone, out, x0);
out = one/out;
pokeSite(Tzero, out, x0);
fft.FFT_all_dim(out, out, FFT::forward);
lone = ScalarComplex(1., 0.);
pokeSite(one, out, zm);
out = lone/out;
pokeSite(z, out, zm);
}
template<class Gimpl>
void Photon<Gimpl>::invKHatSquared(GaugeLinkField &out)
template<class GImpl>
void Photon<GImpl>::zmSub(GaugeLinkField &out)
{
GridBase *grid = out._grid;
GaugeLinkField kmu(grid), one(grid);
const unsigned int nd = grid->_ndimension;
std::vector<int> &l = grid->_fdimensions;
std::vector<int> zm(nd,0);
TComplex Tone = Complex(1.0,0.0);
TComplex Tzero= Complex(0.0,0.0);
one = Complex(1.0,0.0);
out = zero;
for(int mu = 0; mu < nd; mu++)
{
Real twoPiL = M_PI*2./l[mu];
LatticeCoordinate(kmu,mu);
kmu = 2.*sin(.5*twoPiL*kmu);
out = out + kmu*kmu;
}
pokeSite(Tone, out, zm);
out = one/out;
pokeSite(Tzero, out, zm);
}
template<class Gimpl>
void Photon<Gimpl>::zmSub(GaugeLinkField &out)
{
GridBase *grid = out._grid;
const unsigned int nd = grid->_ndimension;
std::vector<int> &l = grid->_fdimensions;
switch (zmScheme_)
{
case ZmScheme::qedTL:
{
std::vector<int> zm(nd,0);
TComplex Tzero = Complex(0.0,0.0);
pokeSite(Tzero, out, zm);
std::vector<int> zm(grid_->Nd(), 0);
ScalarSite z = ScalarComplex(0., 0.);
pokeSite(z, out, zm);
break;
}
case ZmScheme::qedL:
{
LatticeInteger spNrm(grid), coor(grid);
GaugeLinkField z(grid);
spNrm = zero;
for(int d = 0; d < grid->_ndimension - 1; d++)
{
LatticeCoordinate(coor,d);
coor = where(coor < Integer(l[d]/2), coor, coor-Integer(l[d]));
spNrm = spNrm + coor*coor;
}
out = where(spNrm == Integer(0), 0.*out, out);
LatticeInteger spNrm(grid_);
// IR improvement
makeSpatialNorm(spNrm);
out = where(spNrm == Integer(0), 0.*out, out);
for(int i = 0; i < improvement_.size(); i++)
{
Real f = sqrt(improvement_[i]+1);
out = where(spNrm == Integer(i+1), f*out, out);
Real f = sqrt(improvement_[i] + 1);
out = where(spNrm == Integer(i + 1), f*out, out);
}
break;
}
default:
assert(0);
break;
}
}
template<class Gimpl>
void Photon<Gimpl>::MomentumSpacePropagator(const GaugeField &in,
GaugeField &out)
template<class GImpl>
void Photon<GImpl>::transverseProjectSpatial(GaugeField &out)
{
GridBase *grid = out._grid;
LatticeComplex momProp(grid);
switch (zmScheme_)
const unsigned int nd = grid_->Nd();
GaugeLinkField invKHat(grid_), cst(grid_), spdiv(grid_);
LatticeInteger spNrm(grid_);
std::vector<GaugeLinkField> khat, a(nd, grid_), aProj(nd, grid_);
invKHat = zero;
makeSpatialNorm(spNrm);
makeKHat(khat);
for (unsigned int mu = 0; mu < nd; ++mu)
{
case ZmScheme::qedTL:
case ZmScheme::qedL:
a[mu] = peekLorentz(out, mu);
if (mu < nd - 1)
{
invKHatSquared(momProp);
zmSub(momProp);
break;
invKHat += khat[mu]*conjugate(khat[mu]);
}
case ZmScheme::qedInf:
{
infVolPropagator(momProp);
}
cst = ScalarComplex(1., 0.);
invKHat = where(spNrm == Integer(0), cst, invKHat);
invKHat = cst/invKHat;
cst = zero;
invKHat = where(spNrm == Integer(0), cst, invKHat);
spdiv = zero;
for (unsigned int nu = 0; nu < nd - 1; ++nu)
{
spdiv += conjugate(khat[nu])*a[nu];
}
spdiv *= invKHat;
for (unsigned int mu = 0; mu < nd; ++mu)
{
aProj[mu] = a[mu] - khat[mu]*spdiv;
pokeLorentz(out, aProj[mu], mu);
}
}
template<class GImpl>
void Photon<GImpl>::gaugeTransform(GaugeField &out)
{
switch (gauge_)
{
case Gauge::feynman:
break;
case Gauge::coulomb:
transverseProjectSpatial(out);
break;
case Gauge::landau:
assert(0);
break;
}
default:
assert(0);
break;
}
}
template<class GImpl>
void Photon<GImpl>::MomentumSpacePropagator(const GaugeField &in,
GaugeField &out)
{
LatticeComplex momProp(grid_);
makeInvKHatSquared(momProp);
zmSub(momProp);
out = in*momProp;
}
template<class Gimpl>
void Photon<Gimpl>::StochasticWeight(GaugeLinkField &weight)
template<class GImpl>
void Photon<GImpl>::StochasticWeight(GaugeLinkField &weight)
{
auto *grid = dynamic_cast<GridCartesian *>(weight._grid);
const unsigned int nd = grid->_ndimension;
std::vector<int> latt_size = grid->_fdimensions;
switch (zmScheme_)
const unsigned int nd = grid_->Nd();
std::vector<int> l = grid_->FullDimensions();
Integer vol = 1;
for(unsigned int mu = 0; mu < nd; mu++)
{
case ZmScheme::qedTL:
case ZmScheme::qedL:
{
Integer vol = 1;
for(int d = 0; d < nd; d++)
{
vol = vol * latt_size[d];
}
invKHatSquared(weight);
weight = sqrt(vol)*sqrt(weight);
zmSub(weight);
break;
}
case ZmScheme::qedInf:
{
infVolPropagator(weight);
weight = sqrt(real(weight));
break;
}
default:
break;
vol = vol*l[mu];
}
makeInvKHatSquared(weight);
weight = sqrt(vol)*sqrt(weight);
zmSub(weight);
}
template<class Gimpl>
void Photon<Gimpl>::StochasticField(GaugeField &out, GridParallelRNG &rng)
template<class GImpl>
void Photon<GImpl>::StochasticField(GaugeField &out, GridParallelRNG &rng)
{
auto *grid = dynamic_cast<GridCartesian *>(out._grid);
GaugeLinkField weight(grid);
GaugeLinkField weight(grid_);
StochasticWeight(weight);
StochasticField(out, rng, weight);
}
template<class Gimpl>
void Photon<Gimpl>::StochasticField(GaugeField &out, GridParallelRNG &rng,
template<class GImpl>
void Photon<GImpl>::StochasticField(GaugeField &out, GridParallelRNG &rng,
const GaugeLinkField &weight)
{
auto *grid = dynamic_cast<GridCartesian *>(out._grid);
const unsigned int nd = grid->_ndimension;
GaugeLinkField r(grid);
GaugeField aTilde(grid);
FFT fft(grid);
const unsigned int nd = grid_->Nd();
GaugeLinkField r(grid_);
GaugeField aTilde(grid_);
FFT fft(dynamic_cast<GridCartesian *>(grid_));
switch (zmScheme_)
for(unsigned int mu = 0; mu < nd; mu++)
{
case ZmScheme::qedTL:
case ZmScheme::qedL:
{
for(int mu = 0; mu < nd; mu++)
{
gaussian(rng, r);
r = weight*r;
pokeLorentz(aTilde, r, mu);
}
break;
}
case ZmScheme::qedInf:
{
Complex shift(1., 1.); // This needs to be a GaugeLink element?
for(int mu = 0; mu < nd; mu++)
{
bernoulli(rng, r);
r = weight*(2.*r - shift);
pokeLorentz(aTilde, r, mu);
}
break;
}
default:
break;
gaussian(rng, r);
r = weight*r;
pokeLorentz(aTilde, r, mu);
}
gaugeTransform(aTilde);
fft.FFT_all_dim(out, aTilde, FFT::backward);
out = real(out);
}
template<class Gimpl>
void Photon<Gimpl>::UnitField(GaugeField &out)
template<class GImpl>
void Photon<GImpl>::UnitField(GaugeField &out)
{
auto *grid = dynamic_cast<GridCartesian *>(out._grid);
const unsigned int nd = grid->_ndimension;
GaugeLinkField r(grid);
const unsigned int nd = grid_->Nd();
GaugeLinkField r(grid_);
r = Complex(1.0,0.0);
for(int mu = 0; mu < nd; mu++)
r = ScalarComplex(1., 0.);
for(unsigned int mu = 0; mu < nd; mu++)
{
pokeLorentz(out, r, mu);
}
out = real(out);
}
// template<class Gimpl>
// void Photon<Gimpl>::FeynmanGaugeMomentumSpacePropagator_L(GaugeField &out,
// const GaugeField &in)
// {
//
// FeynmanGaugeMomentumSpacePropagator_TL(out,in);
//
// GridBase *grid = out._grid;
// LatticeInteger coor(grid);
// GaugeField zz(grid); zz=zero;
//
// // xyzt
// for(int d = 0; d < grid->_ndimension-1;d++){
// LatticeCoordinate(coor,d);
// out = where(coor==Integer(0),zz,out);
// }
// }
//
// template<class Gimpl>
// void Photon<Gimpl>::FeynmanGaugeMomentumSpacePropagator_TL(GaugeField &out,
// const GaugeField &in)
// {
//
// // what type LatticeComplex
// GridBase *grid = out._grid;
// int nd = grid->_ndimension;
//
// typedef typename GaugeField::vector_type vector_type;
// typedef typename GaugeField::scalar_type ScalComplex;
// typedef Lattice<iSinglet<vector_type> > LatComplex;
//
// std::vector<int> latt_size = grid->_fdimensions;
//
// LatComplex denom(grid); denom= zero;
// LatComplex one(grid); one = ScalComplex(1.0,0.0);
// LatComplex kmu(grid);
//
// ScalComplex ci(0.0,1.0);
// // momphase = n * 2pi / L
// for(int mu=0;mu<Nd;mu++) {
//
// LatticeCoordinate(kmu,mu);
//
// RealD TwoPiL = M_PI * 2.0/ latt_size[mu];
//
// kmu = TwoPiL * kmu ;
//
// denom = denom + 4.0*sin(kmu*0.5)*sin(kmu*0.5); // Wilson term
// }
// std::vector<int> zero_mode(nd,0);
// TComplexD Tone = ComplexD(1.0,0.0);
// TComplexD Tzero= ComplexD(0.0,0.0);
//
// pokeSite(Tone,denom,zero_mode);
//
// denom= one/denom;
//
// pokeSite(Tzero,denom,zero_mode);
//
// out = zero;
// out = in*denom;
// };
}}
#endif

View File

@ -173,6 +173,39 @@ void G5R5(Lattice<vobj> &z,const Lattice<vobj> &x)
}
}
}
}
}}
// I explicitly need these outside the QCD namespace
template<typename vobj>
void G5C(Lattice<vobj> &z, const Lattice<vobj> &x)
{
GridBase *grid = x._grid;
z.checkerboard = x.checkerboard;
conformable(x, z);
QCD::Gamma G5(QCD::Gamma::Algebra::Gamma5);
z = G5 * x;
}
template<class CComplex, int nbasis>
void G5C(Lattice<iVector<CComplex, nbasis>> &z, const Lattice<iVector<CComplex, nbasis>> &x)
{
GridBase *grid = x._grid;
z.checkerboard = x.checkerboard;
conformable(x, z);
static_assert(nbasis % 2 == 0, "");
int nb = nbasis / 2;
parallel_for(int ss = 0; ss < grid->oSites(); ss++) {
for(int n = 0; n < nb; ++n) {
z._odata[ss](n) = x._odata[ss](n);
}
for(int n = nb; n < nbasis; ++n) {
z._odata[ss](n) = -x._odata[ss](n);
}
}
}
}
#endif

View File

@ -6,10 +6,12 @@
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: neo <cossu@post.kek.jp>
Author: paboyle <paboyle@ph.ed.ac.uk>
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: neo <cossu@post.kek.jp>
Author: paboyle <paboyle@ph.ed.ac.uk>
Author: James Harrison <J.Harrison@soton.ac.uk>
Author: Antonin Portelli <antonin.portelli@me.com>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@ -645,6 +647,184 @@ static void StapleMult(GaugeMat &staple, const GaugeLorentz &Umu, int mu) {
}
}
}
//////////////////////////////////////////////////
// Wilson loop of size (R1, R2), oriented in mu,nu plane
//////////////////////////////////////////////////
static void wilsonLoop(GaugeMat &wl, const std::vector<GaugeMat> &U,
const int Rmu, const int Rnu,
const int mu, const int nu) {
wl = U[nu];
for(int i = 0; i < Rnu-1; i++){
wl = Gimpl::CovShiftForward(U[nu], nu, wl);
}
for(int i = 0; i < Rmu; i++){
wl = Gimpl::CovShiftForward(U[mu], mu, wl);
}
for(int i = 0; i < Rnu; i++){
wl = Gimpl::CovShiftBackward(U[nu], nu, wl);
}
for(int i = 0; i < Rmu; i++){
wl = Gimpl::CovShiftBackward(U[mu], mu, wl);
}
}
//////////////////////////////////////////////////
// trace of Wilson Loop oriented in mu,nu plane
//////////////////////////////////////////////////
static void traceWilsonLoop(LatticeComplex &wl,
const std::vector<GaugeMat> &U,
const int Rmu, const int Rnu,
const int mu, const int nu) {
GaugeMat sp(U[0]._grid);
wilsonLoop(sp, U, Rmu, Rnu, mu, nu);
wl = trace(sp);
}
//////////////////////////////////////////////////
// sum over all planes of Wilson loop
//////////////////////////////////////////////////
static void siteWilsonLoop(LatticeComplex &Wl,
const std::vector<GaugeMat> &U,
const int R1, const int R2) {
LatticeComplex siteWl(U[0]._grid);
Wl = zero;
for (int mu = 1; mu < U[0]._grid->_ndimension; mu++) {
for (int nu = 0; nu < mu; nu++) {
traceWilsonLoop(siteWl, U, R1, R2, mu, nu);
Wl = Wl + siteWl;
traceWilsonLoop(siteWl, U, R2, R1, mu, nu);
Wl = Wl + siteWl;
}
}
}
//////////////////////////////////////////////////
// sum over planes of Wilson loop with length R1
// in the time direction
//////////////////////////////////////////////////
static void siteTimelikeWilsonLoop(LatticeComplex &Wl,
const std::vector<GaugeMat> &U,
const int R1, const int R2) {
LatticeComplex siteWl(U[0]._grid);
int ndim = U[0]._grid->_ndimension;
Wl = zero;
for (int nu = 0; nu < ndim - 1; nu++) {
traceWilsonLoop(siteWl, U, R1, R2, ndim-1, nu);
Wl = Wl + siteWl;
}
}
//////////////////////////////////////////////////
// sum Wilson loop over all planes orthogonal to the time direction
//////////////////////////////////////////////////
static void siteSpatialWilsonLoop(LatticeComplex &Wl,
const std::vector<GaugeMat> &U,
const int R1, const int R2) {
LatticeComplex siteWl(U[0]._grid);
Wl = zero;
for (int mu = 1; mu < U[0]._grid->_ndimension - 1; mu++) {
for (int nu = 0; nu < mu; nu++) {
traceWilsonLoop(siteWl, U, R1, R2, mu, nu);
Wl = Wl + siteWl;
traceWilsonLoop(siteWl, U, R2, R1, mu, nu);
Wl = Wl + siteWl;
}
}
}
//////////////////////////////////////////////////
// sum over all x,y,z,t and over all planes of Wilson loop
//////////////////////////////////////////////////
static Real sumWilsonLoop(const GaugeLorentz &Umu,
const int R1, const int R2) {
std::vector<GaugeMat> U(4, Umu._grid);
for (int mu = 0; mu < Umu._grid->_ndimension; mu++) {
U[mu] = PeekIndex<LorentzIndex>(Umu, mu);
}
LatticeComplex Wl(Umu._grid);
siteWilsonLoop(Wl, U, R1, R2);
TComplex Tp = sum(Wl);
Complex p = TensorRemove(Tp);
return p.real();
}
//////////////////////////////////////////////////
// sum over all x,y,z,t and over all planes of timelike Wilson loop
//////////////////////////////////////////////////
static Real sumTimelikeWilsonLoop(const GaugeLorentz &Umu,
const int R1, const int R2) {
std::vector<GaugeMat> U(4, Umu._grid);
for (int mu = 0; mu < Umu._grid->_ndimension; mu++) {
U[mu] = PeekIndex<LorentzIndex>(Umu, mu);
}
LatticeComplex Wl(Umu._grid);
siteTimelikeWilsonLoop(Wl, U, R1, R2);
TComplex Tp = sum(Wl);
Complex p = TensorRemove(Tp);
return p.real();
}
//////////////////////////////////////////////////
// sum over all x,y,z,t and over all planes of spatial Wilson loop
//////////////////////////////////////////////////
static Real sumSpatialWilsonLoop(const GaugeLorentz &Umu,
const int R1, const int R2) {
std::vector<GaugeMat> U(4, Umu._grid);
for (int mu = 0; mu < Umu._grid->_ndimension; mu++) {
U[mu] = PeekIndex<LorentzIndex>(Umu, mu);
}
LatticeComplex Wl(Umu._grid);
siteSpatialWilsonLoop(Wl, U, R1, R2);
TComplex Tp = sum(Wl);
Complex p = TensorRemove(Tp);
return p.real();
}
//////////////////////////////////////////////////
// average over all x,y,z,t and over all planes of Wilson loop
//////////////////////////////////////////////////
static Real avgWilsonLoop(const GaugeLorentz &Umu,
const int R1, const int R2) {
int ndim = Umu._grid->_ndimension;
Real sumWl = sumWilsonLoop(Umu, R1, R2);
Real vol = Umu._grid->gSites();
Real faces = 1.0 * ndim * (ndim - 1);
return sumWl / vol / faces / Nc; // Nc dependent... FIXME
}
//////////////////////////////////////////////////
// average over all x,y,z,t and over all planes of timelike Wilson loop
//////////////////////////////////////////////////
static Real avgTimelikeWilsonLoop(const GaugeLorentz &Umu,
const int R1, const int R2) {
int ndim = Umu._grid->_ndimension;
Real sumWl = sumTimelikeWilsonLoop(Umu, R1, R2);
Real vol = Umu._grid->gSites();
Real faces = 1.0 * (ndim - 1);
return sumWl / vol / faces / Nc; // Nc dependent... FIXME
}
//////////////////////////////////////////////////
// average over all x,y,z,t and over all planes of spatial Wilson loop
//////////////////////////////////////////////////
static Real avgSpatialWilsonLoop(const GaugeLorentz &Umu,
const int R1, const int R2) {
int ndim = Umu._grid->_ndimension;
Real sumWl = sumSpatialWilsonLoop(Umu, R1, R2);
Real vol = Umu._grid->gSites();
Real faces = 1.0 * (ndim - 1) * (ndim - 2);
return sumWl / vol / faces / Nc; // Nc dependent... FIXME
}
};
typedef WilsonLoops<PeriodicGimplR> ColourWilsonLoops;

View File

@ -70,7 +70,7 @@ void TStochEm::execute(void)
LOG(Message) << "Generating stochastic EM potential..." << std::endl;
std::vector<Real> improvements = strToVec<Real>(par().improvement);
PhotonR photon(par().gauge, par().zmScheme, improvements, par().G0_qedInf);
PhotonR photon(envGetGrid(EmField), par().gauge, par().zmScheme, improvements);
auto &a = envGet(EmField, getName());
auto &w = envGet(EmComp, "_" + getName() + "_weight");

View File

@ -47,8 +47,7 @@ public:
GRID_SERIALIZABLE_CLASS_MEMBERS(StochEmPar,
PhotonR::Gauge, gauge,
PhotonR::ZmScheme, zmScheme,
std::string, improvement,
Real, G0_qedInf);
std::string, improvement);
};
class TStochEm: public Module<StochEmPar>

View File

@ -62,7 +62,7 @@ void TUnitEm::setup(void)
// execution ///////////////////////////////////////////////////////////////////
void TUnitEm::execute(void)
{
PhotonR photon(0, 0); // Just chose arbitrary input values here
PhotonR photon(envGetGrid(EmField), 0, 0); // Just chose arbitrary input values here
auto &a = envGet(EmField, getName());
LOG(Message) << "Generating unit EM potential..." << std::endl;
photon.UnitField(a);

138
tests/core/Test_qed.cc Normal file
View File

@ -0,0 +1,138 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: tests/core/Test_qed.cc
Copyright (C) 2015-2018
Author: Antonin Portelli <antonin.portelli@me.com>
Author: James Harrison <J.Harrison@soton.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
#include <Grid/Grid.h>
using namespace Grid;
using namespace QCD;
typedef PeriodicGaugeImpl<QedGImplR> QedPeriodicGImplR;
typedef PhotonR::GaugeField EmField;
typedef PhotonR::GaugeLinkField EmComp;
const int NCONFIGS = 20;
const int NWILSON = 10;
int main(int argc, char *argv[])
{
// initialization
Grid_init(&argc, &argv);
std::cout << GridLogMessage << "Grid initialized" << std::endl;
// QED stuff
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(4, vComplex::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian grid(latt_size,simd_layout,mpi_layout);
GridParallelRNG pRNG(&grid);
PhotonR photon(&grid, PhotonR::Gauge::coulomb, PhotonR::ZmScheme::qedL);
EmField a(&grid);
EmField expA(&grid);
Complex imag_unit(0, 1);
Real wlA;
std::vector<Real> logWlAvg(NWILSON, 0.0), logWlTime(NWILSON, 0.0), logWlSpace(NWILSON, 0.0);
pRNG.SeedFixedIntegers({1, 2, 3, 4});
std::cout << GridLogMessage << "Wilson loop calculation beginning" << std::endl;
for(int ic = 0; ic < NCONFIGS; ic++){
std::cout << GridLogMessage << "Configuration " << ic <<std::endl;
photon.StochasticField(a, pRNG);
// Exponentiate photon field
expA = exp(imag_unit*a);
// Calculate zero-modes
std::vector<EmField::vector_object::scalar_object> zm;
std::cout << GridLogMessage << "Total zero-mode norm 2 "
<< std::sqrt(norm2(sum(a))) << std::endl;
std::cout << GridLogMessage << "Spatial zero-mode norm 2" << std::endl;
sliceSum(a, zm, grid.Nd() - 1);
for (unsigned int t = 0; t < latt_size.back(); ++t)
{
std::cout << GridLogMessage << "t = " << t << " " << std::sqrt(norm2(zm[t])) << std::endl;
}
// Calculate divergence
EmComp diva(&grid), amu(&grid);
diva = zero;
for (unsigned int mu = 0; mu < grid.Nd(); ++mu)
{
amu = peekLorentz(a, mu);
diva += amu - Cshift(amu, mu, -1);
if (mu == grid.Nd() - 2)
{
std::cout << GridLogMessage << "Spatial divergence norm 2 " << std::sqrt(norm2(diva)) << std::endl;
}
}
std::cout << GridLogMessage << "Total divergence norm 2 " << std::sqrt(norm2(diva)) << std::endl;
// Calculate Wilson loops
for(int iw=1; iw<=NWILSON; iw++){
wlA = WilsonLoops<QedPeriodicGImplR>::avgWilsonLoop(expA, iw, iw) * 3;
logWlAvg[iw-1] -= 2*log(wlA);
wlA = WilsonLoops<QedPeriodicGImplR>::avgTimelikeWilsonLoop(expA, iw, iw) * 3;
logWlTime[iw-1] -= 2*log(wlA);
wlA = WilsonLoops<QedPeriodicGImplR>::avgSpatialWilsonLoop(expA, iw, iw) * 3;
logWlSpace[iw-1] -= 2*log(wlA);
}
}
std::cout << GridLogMessage << "Wilson loop calculation completed" << std::endl;
// Calculate Wilson loops
// From A. Portelli's PhD thesis:
// size -2*log(W)
// 1 0.500000000(1)
// 2 1.369311535(1)
// 3 2.305193057(1)
// 4 3.261483854(1)
// 5 4.228829967(1)
// 6 5.203604529(1)
// 7 6.183728249(1)
// 8 7.167859805(1)
// 9 8.155091868(1)
// 10 9.144788116(1)
for(int iw=1; iw<=10; iw++){
std::cout << GridLogMessage << iw << 'x' << iw << " Wilson loop" << std::endl;
std::cout << GridLogMessage << "-2*log(W) average: " << logWlAvg[iw-1]/NCONFIGS << std::endl;
std::cout << GridLogMessage << "-2*log(W) timelike: " << logWlTime[iw-1]/NCONFIGS << std::endl;
std::cout << GridLogMessage << "-2*log(W) spatial: " << logWlSpace[iw-1]/NCONFIGS << std::endl;
}
// epilogue
std::cout << GridLogMessage << "Grid is finalizing now" << std::endl;
Grid_finalize();
return EXIT_SUCCESS;
}

View File

@ -0,0 +1,670 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_multigrid_common.h
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_TEST_MULTIGRID_COMMON_H
#define GRID_TEST_MULTIGRID_COMMON_H
namespace Grid {
// TODO: Can think about having one parameter struct per level and then a
// vector of these structs. How well would that work together with the
// serialization strategy of Grid?
// clang-format off
struct MultiGridParams : Serializable {
public:
GRID_SERIALIZABLE_CLASS_MEMBERS(MultiGridParams,
int, nLevels,
std::vector<std::vector<int>>, blockSizes, // size == nLevels - 1
std::vector<double>, smootherTol, // size == nLevels - 1
std::vector<int>, smootherMaxOuterIter, // size == nLevels - 1
std::vector<int>, smootherMaxInnerIter, // size == nLevels - 1
bool, kCycle,
std::vector<double>, kCycleTol, // size == nLevels - 1
std::vector<int>, kCycleMaxOuterIter, // size == nLevels - 1
std::vector<int>, kCycleMaxInnerIter, // size == nLevels - 1
double, coarseSolverTol,
int, coarseSolverMaxOuterIter,
int, coarseSolverMaxInnerIter);
// constructor with default values
MultiGridParams(int _nLevels = 2,
std::vector<std::vector<int>> _blockSizes = {{4, 4, 4, 4}},
std::vector<double> _smootherTol = {1e-14},
std::vector<int> _smootherMaxOuterIter = {4},
std::vector<int> _smootherMaxInnerIter = {4},
bool _kCycle = true,
std::vector<double> _kCycleTol = {1e-1},
std::vector<int> _kCycleMaxOuterIter = {2},
std::vector<int> _kCycleMaxInnerIter = {5},
double _coarseSolverTol = 5e-2,
int _coarseSolverMaxOuterIter = 10,
int _coarseSolverMaxInnerIter = 500)
: nLevels(_nLevels)
, blockSizes(_blockSizes)
, smootherTol(_smootherTol)
, smootherMaxOuterIter(_smootherMaxOuterIter)
, smootherMaxInnerIter(_smootherMaxInnerIter)
, kCycle(_kCycle)
, kCycleTol(_kCycleTol)
, kCycleMaxOuterIter(_kCycleMaxOuterIter)
, kCycleMaxInnerIter(_kCycleMaxInnerIter)
, coarseSolverTol(_coarseSolverTol)
, coarseSolverMaxOuterIter(_coarseSolverMaxOuterIter)
, coarseSolverMaxInnerIter(_coarseSolverMaxInnerIter)
{}
};
// clang-format on
void checkParameterValidity(MultiGridParams const &params) {
auto correctSize = params.nLevels - 1;
assert(correctSize == params.blockSizes.size());
assert(correctSize == params.smootherTol.size());
assert(correctSize == params.smootherMaxOuterIter.size());
assert(correctSize == params.smootherMaxInnerIter.size());
assert(correctSize == params.kCycleTol.size());
assert(correctSize == params.kCycleMaxOuterIter.size());
assert(correctSize == params.kCycleMaxInnerIter.size());
}
struct LevelInfo {
public:
std::vector<std::vector<int>> Seeds;
std::vector<GridCartesian *> Grids;
std::vector<GridParallelRNG> PRNGs;
LevelInfo(GridCartesian *FineGrid, MultiGridParams const &mgParams) {
auto nCoarseLevels = mgParams.blockSizes.size();
assert(nCoarseLevels == mgParams.nLevels - 1);
// set up values for finest grid
Grids.push_back(FineGrid);
Seeds.push_back({1, 2, 3, 4});
PRNGs.push_back(GridParallelRNG(Grids.back()));
PRNGs.back().SeedFixedIntegers(Seeds.back());
// set up values for coarser grids
for(int level = 1; level < mgParams.nLevels; ++level) {
auto Nd = Grids[level - 1]->_ndimension;
auto tmp = Grids[level - 1]->_fdimensions;
assert(tmp.size() == Nd);
Seeds.push_back(std::vector<int>(Nd));
for(int d = 0; d < Nd; ++d) {
tmp[d] /= mgParams.blockSizes[level - 1][d];
Seeds[level][d] = (level)*Nd + d + 1;
}
Grids.push_back(QCD::SpaceTimeGrid::makeFourDimGrid(tmp, Grids[level - 1]->_simd_layout, GridDefaultMpi()));
PRNGs.push_back(GridParallelRNG(Grids[level]));
PRNGs[level].SeedFixedIntegers(Seeds[level]);
}
std::cout << GridLogMessage << "Constructed " << mgParams.nLevels << " levels" << std::endl;
for(int level = 0; level < mgParams.nLevels; ++level) {
std::cout << GridLogMessage << "level = " << level << ":" << std::endl;
Grids[level]->show_decomposition();
}
}
};
template<class Field> class MultiGridPreconditionerBase : public LinearFunction<Field> {
public:
virtual ~MultiGridPreconditionerBase() = default;
virtual void setup() = 0;
virtual void operator()(Field const &in, Field &out) = 0;
virtual void runChecks(RealD tolerance) = 0;
virtual void reportTimings() = 0;
};
template<class Fobj, class CComplex, int nBasis, int nCoarserLevels, class Matrix>
class MultiGridPreconditioner : public MultiGridPreconditionerBase<Lattice<Fobj>> {
public:
/////////////////////////////////////////////
// Type Definitions
/////////////////////////////////////////////
// clang-format off
typedef Aggregation<Fobj, CComplex, nBasis> Aggregates;
typedef CoarsenedMatrix<Fobj, CComplex, nBasis> CoarseDiracMatrix;
typedef typename Aggregates::CoarseVector CoarseVector;
typedef typename Aggregates::siteVector CoarseSiteVector;
typedef Matrix FineDiracMatrix;
typedef typename Aggregates::FineField FineVector;
typedef MultiGridPreconditioner<CoarseSiteVector, iScalar<CComplex>, nBasis, nCoarserLevels - 1, CoarseDiracMatrix> NextPreconditionerLevel;
// clang-format on
/////////////////////////////////////////////
// Member Data
/////////////////////////////////////////////
int _CurrentLevel;
int _NextCoarserLevel;
MultiGridParams &_MultiGridParams;
LevelInfo & _LevelInfo;
FineDiracMatrix & _FineMatrix;
FineDiracMatrix & _SmootherMatrix;
Aggregates _Aggregates;
CoarseDiracMatrix _CoarseMatrix;
std::unique_ptr<NextPreconditionerLevel> _NextPreconditionerLevel;
GridStopWatch _SetupTotalTimer;
GridStopWatch _SetupCreateSubspaceTimer;
GridStopWatch _SetupProjectToChiralitiesTimer;
GridStopWatch _SetupCoarsenOperatorTimer;
GridStopWatch _SetupNextLevelTimer;
GridStopWatch _SolveTotalTimer;
GridStopWatch _SolveRestrictionTimer;
GridStopWatch _SolveProlongationTimer;
GridStopWatch _SolveSmootherTimer;
GridStopWatch _SolveNextLevelTimer;
/////////////////////////////////////////////
// Member Functions
/////////////////////////////////////////////
MultiGridPreconditioner(MultiGridParams &mgParams, LevelInfo &LvlInfo, FineDiracMatrix &FineMat, FineDiracMatrix &SmootherMat)
: _CurrentLevel(mgParams.nLevels - (nCoarserLevels + 1)) // _Level = 0 corresponds to finest
, _NextCoarserLevel(_CurrentLevel + 1) // incremented for instances on coarser levels
, _MultiGridParams(mgParams)
, _LevelInfo(LvlInfo)
, _FineMatrix(FineMat)
, _SmootherMatrix(SmootherMat)
, _Aggregates(_LevelInfo.Grids[_NextCoarserLevel], _LevelInfo.Grids[_CurrentLevel], 0)
, _CoarseMatrix(*_LevelInfo.Grids[_NextCoarserLevel]) {
_NextPreconditionerLevel
= std::unique_ptr<NextPreconditionerLevel>(new NextPreconditionerLevel(_MultiGridParams, _LevelInfo, _CoarseMatrix, _CoarseMatrix));
resetTimers();
}
void setup() {
_SetupTotalTimer.Start();
static_assert((nBasis & 0x1) == 0, "MG Preconditioner only supports an even number of basis vectors");
int nb = nBasis / 2;
MdagMLinearOperator<FineDiracMatrix, FineVector> fineMdagMOp(_FineMatrix);
_SetupCreateSubspaceTimer.Start();
_Aggregates.CreateSubspace(_LevelInfo.PRNGs[_CurrentLevel], fineMdagMOp, nb);
_SetupCreateSubspaceTimer.Stop();
_SetupProjectToChiralitiesTimer.Start();
FineVector tmp1(_Aggregates.subspace[0]._grid);
FineVector tmp2(_Aggregates.subspace[0]._grid);
for(int n = 0; n < nb; n++) {
auto tmp1 = _Aggregates.subspace[n];
G5C(tmp2, _Aggregates.subspace[n]);
axpby(_Aggregates.subspace[n], 0.5, 0.5, tmp1, tmp2);
axpby(_Aggregates.subspace[n + nb], 0.5, -0.5, tmp1, tmp2);
std::cout << GridLogMG << " Level " << _CurrentLevel << ": Chirally doubled vector " << n << ". "
<< "norm2(vec[" << n << "]) = " << norm2(_Aggregates.subspace[n]) << ". "
<< "norm2(vec[" << n + nb << "]) = " << norm2(_Aggregates.subspace[n + nb]) << std::endl;
}
_SetupProjectToChiralitiesTimer.Stop();
_SetupCoarsenOperatorTimer.Start();
_CoarseMatrix.CoarsenOperator(_LevelInfo.Grids[_CurrentLevel], fineMdagMOp, _Aggregates);
_SetupCoarsenOperatorTimer.Stop();
_SetupNextLevelTimer.Start();
_NextPreconditionerLevel->setup();
_SetupNextLevelTimer.Stop();
_SetupTotalTimer.Stop();
}
virtual void operator()(FineVector const &in, FineVector &out) {
conformable(_LevelInfo.Grids[_CurrentLevel], in._grid);
conformable(in, out);
// TODO: implement a W-cycle
if(_MultiGridParams.kCycle)
kCycle(in, out);
else
vCycle(in, out);
}
void vCycle(FineVector const &in, FineVector &out) {
_SolveTotalTimer.Start();
RealD inputNorm = norm2(in);
CoarseVector coarseSrc(_LevelInfo.Grids[_NextCoarserLevel]);
CoarseVector coarseSol(_LevelInfo.Grids[_NextCoarserLevel]);
coarseSol = zero;
FineVector fineTmp(in._grid);
auto maxSmootherIter = _MultiGridParams.smootherMaxOuterIter[_CurrentLevel] * _MultiGridParams.smootherMaxInnerIter[_CurrentLevel];
TrivialPrecon<FineVector> fineTrivialPreconditioner;
FlexibleGeneralisedMinimalResidual<FineVector> fineFGMRES(_MultiGridParams.smootherTol[_CurrentLevel],
maxSmootherIter,
fineTrivialPreconditioner,
_MultiGridParams.smootherMaxInnerIter[_CurrentLevel],
false);
MdagMLinearOperator<FineDiracMatrix, FineVector> fineMdagMOp(_FineMatrix);
MdagMLinearOperator<FineDiracMatrix, FineVector> fineSmootherMdagMOp(_SmootherMatrix);
_SolveRestrictionTimer.Start();
_Aggregates.ProjectToSubspace(coarseSrc, in);
_SolveRestrictionTimer.Stop();
_SolveNextLevelTimer.Start();
(*_NextPreconditionerLevel)(coarseSrc, coarseSol);
_SolveNextLevelTimer.Stop();
_SolveProlongationTimer.Start();
_Aggregates.PromoteFromSubspace(coarseSol, out);
_SolveProlongationTimer.Stop();
fineMdagMOp.Op(out, fineTmp);
fineTmp = in - fineTmp;
auto r = norm2(fineTmp);
auto residualAfterCoarseGridCorrection = std::sqrt(r / inputNorm);
_SolveSmootherTimer.Start();
fineFGMRES(fineSmootherMdagMOp, in, out);
_SolveSmootherTimer.Stop();
fineMdagMOp.Op(out, fineTmp);
fineTmp = in - fineTmp;
r = norm2(fineTmp);
auto residualAfterPostSmoother = std::sqrt(r / inputNorm);
std::cout << GridLogMG << " Level " << _CurrentLevel << ": V-cycle: Input norm = " << std::sqrt(inputNorm)
<< " Coarse residual = " << residualAfterCoarseGridCorrection << " Post-Smoother residual = " << residualAfterPostSmoother
<< std::endl;
_SolveTotalTimer.Stop();
}
void kCycle(FineVector const &in, FineVector &out) {
_SolveTotalTimer.Start();
RealD inputNorm = norm2(in);
CoarseVector coarseSrc(_LevelInfo.Grids[_NextCoarserLevel]);
CoarseVector coarseSol(_LevelInfo.Grids[_NextCoarserLevel]);
coarseSol = zero;
FineVector fineTmp(in._grid);
auto smootherMaxIter = _MultiGridParams.smootherMaxOuterIter[_CurrentLevel] * _MultiGridParams.smootherMaxInnerIter[_CurrentLevel];
auto kCycleMaxIter = _MultiGridParams.kCycleMaxOuterIter[_CurrentLevel] * _MultiGridParams.kCycleMaxInnerIter[_CurrentLevel];
TrivialPrecon<FineVector> fineTrivialPreconditioner;
FlexibleGeneralisedMinimalResidual<FineVector> fineFGMRES(_MultiGridParams.smootherTol[_CurrentLevel],
smootherMaxIter,
fineTrivialPreconditioner,
_MultiGridParams.smootherMaxInnerIter[_CurrentLevel],
false);
FlexibleGeneralisedMinimalResidual<CoarseVector> coarseFGMRES(_MultiGridParams.kCycleTol[_CurrentLevel],
kCycleMaxIter,
*_NextPreconditionerLevel,
_MultiGridParams.kCycleMaxInnerIter[_CurrentLevel],
false);
MdagMLinearOperator<FineDiracMatrix, FineVector> fineMdagMOp(_FineMatrix);
MdagMLinearOperator<FineDiracMatrix, FineVector> fineSmootherMdagMOp(_SmootherMatrix);
MdagMLinearOperator<CoarseDiracMatrix, CoarseVector> coarseMdagMOp(_CoarseMatrix);
_SolveRestrictionTimer.Start();
_Aggregates.ProjectToSubspace(coarseSrc, in);
_SolveRestrictionTimer.Stop();
_SolveNextLevelTimer.Start();
coarseFGMRES(coarseMdagMOp, coarseSrc, coarseSol);
_SolveNextLevelTimer.Stop();
_SolveProlongationTimer.Start();
_Aggregates.PromoteFromSubspace(coarseSol, out);
_SolveProlongationTimer.Stop();
fineMdagMOp.Op(out, fineTmp);
fineTmp = in - fineTmp;
auto r = norm2(fineTmp);
auto residualAfterCoarseGridCorrection = std::sqrt(r / inputNorm);
_SolveSmootherTimer.Start();
fineFGMRES(fineSmootherMdagMOp, in, out);
_SolveSmootherTimer.Stop();
fineMdagMOp.Op(out, fineTmp);
fineTmp = in - fineTmp;
r = norm2(fineTmp);
auto residualAfterPostSmoother = std::sqrt(r / inputNorm);
std::cout << GridLogMG << " Level " << _CurrentLevel << ": K-cycle: Input norm = " << std::sqrt(inputNorm)
<< " Coarse residual = " << residualAfterCoarseGridCorrection << " Post-Smoother residual = " << residualAfterPostSmoother
<< std::endl;
_SolveTotalTimer.Stop();
}
void runChecks(RealD tolerance) {
std::vector<FineVector> fineTmps(7, _LevelInfo.Grids[_CurrentLevel]);
std::vector<CoarseVector> coarseTmps(4, _LevelInfo.Grids[_NextCoarserLevel]);
MdagMLinearOperator<FineDiracMatrix, FineVector> fineMdagMOp(_FineMatrix);
MdagMLinearOperator<CoarseDiracMatrix, CoarseVector> coarseMdagMOp(_CoarseMatrix);
std::cout << GridLogMG << " Level " << _CurrentLevel << ": **************************************************" << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": MG correctness check: 0 == (M - (Mdiag + Σ_μ Mdir_μ)) * v" << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": **************************************************" << std::endl;
random(_LevelInfo.PRNGs[_CurrentLevel], fineTmps[0]);
fineMdagMOp.Op(fineTmps[0], fineTmps[1]); // M * v
fineMdagMOp.OpDiag(fineTmps[0], fineTmps[2]); // Mdiag * v
fineTmps[4] = zero;
for(int dir = 0; dir < 4; dir++) { // Σ_μ Mdir_μ * v
for(auto disp : {+1, -1}) {
fineMdagMOp.OpDir(fineTmps[0], fineTmps[3], dir, disp);
fineTmps[4] = fineTmps[4] + fineTmps[3];
}
}
fineTmps[5] = fineTmps[2] + fineTmps[4]; // (Mdiag + Σ_μ Mdir_μ) * v
fineTmps[6] = fineTmps[1] - fineTmps[5];
auto deviation = std::sqrt(norm2(fineTmps[6]) / norm2(fineTmps[1]));
std::cout << GridLogMG << " Level " << _CurrentLevel << ": norm2(M * v) = " << norm2(fineTmps[1]) << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": norm2(Mdiag * v) = " << norm2(fineTmps[2]) << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": norm2(Σ_μ Mdir_μ * v) = " << norm2(fineTmps[4]) << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": norm2((Mdiag + Σ_μ Mdir_μ) * v) = " << norm2(fineTmps[5]) << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": relative deviation = " << deviation;
if(deviation > tolerance) {
std::cout << " > " << tolerance << " -> check failed" << std::endl;
abort();
} else {
std::cout << " < " << tolerance << " -> check passed" << std::endl;
}
std::cout << GridLogMG << " Level " << _CurrentLevel << ": **************************************************" << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": MG correctness check: 0 == (1 - P R) v" << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": **************************************************" << std::endl;
for(auto i = 0; i < _Aggregates.subspace.size(); ++i) {
_Aggregates.ProjectToSubspace(coarseTmps[0], _Aggregates.subspace[i]); // R v_i
_Aggregates.PromoteFromSubspace(coarseTmps[0], fineTmps[0]); // P R v_i
fineTmps[1] = _Aggregates.subspace[i] - fineTmps[0]; // v_i - P R v_i
deviation = std::sqrt(norm2(fineTmps[1]) / norm2(_Aggregates.subspace[i]));
std::cout << GridLogMG << " Level " << _CurrentLevel << ": Vector " << i << ": norm2(v_i) = " << norm2(_Aggregates.subspace[i])
<< " | norm2(R v_i) = " << norm2(coarseTmps[0]) << " | norm2(P R v_i) = " << norm2(fineTmps[0])
<< " | relative deviation = " << deviation;
if(deviation > tolerance) {
std::cout << " > " << tolerance << " -> check failed" << std::endl;
abort();
} else {
std::cout << " < " << tolerance << " -> check passed" << std::endl;
}
}
std::cout << GridLogMG << " Level " << _CurrentLevel << ": **************************************************" << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": MG correctness check: 0 == (1 - R P) v_c" << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": **************************************************" << std::endl;
random(_LevelInfo.PRNGs[_NextCoarserLevel], coarseTmps[0]);
_Aggregates.PromoteFromSubspace(coarseTmps[0], fineTmps[0]); // P v_c
_Aggregates.ProjectToSubspace(coarseTmps[1], fineTmps[0]); // R P v_c
coarseTmps[2] = coarseTmps[0] - coarseTmps[1]; // v_c - R P v_c
deviation = std::sqrt(norm2(coarseTmps[2]) / norm2(coarseTmps[0]));
std::cout << GridLogMG << " Level " << _CurrentLevel << ": norm2(v_c) = " << norm2(coarseTmps[0])
<< " | norm2(R P v_c) = " << norm2(coarseTmps[1]) << " | norm2(P v_c) = " << norm2(fineTmps[0])
<< " | relative deviation = " << deviation;
if(deviation > tolerance) {
std::cout << " > " << tolerance << " -> check failed" << std::endl;
abort();
} else {
std::cout << " < " << tolerance << " -> check passed" << std::endl;
}
std::cout << GridLogMG << " Level " << _CurrentLevel << ": **************************************************" << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": MG correctness check: 0 == (R D P - D_c) v_c" << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": **************************************************" << std::endl;
random(_LevelInfo.PRNGs[_NextCoarserLevel], coarseTmps[0]);
_Aggregates.PromoteFromSubspace(coarseTmps[0], fineTmps[0]); // P v_c
fineMdagMOp.Op(fineTmps[0], fineTmps[1]); // D P v_c
_Aggregates.ProjectToSubspace(coarseTmps[1], fineTmps[1]); // R D P v_c
coarseMdagMOp.Op(coarseTmps[0], coarseTmps[2]); // D_c v_c
coarseTmps[3] = coarseTmps[1] - coarseTmps[2]; // R D P v_c - D_c v_c
deviation = std::sqrt(norm2(coarseTmps[3]) / norm2(coarseTmps[1]));
std::cout << GridLogMG << " Level " << _CurrentLevel << ": norm2(R D P v_c) = " << norm2(coarseTmps[1])
<< " | norm2(D_c v_c) = " << norm2(coarseTmps[2]) << " | relative deviation = " << deviation;
if(deviation > tolerance) {
std::cout << " > " << tolerance << " -> check failed" << std::endl;
abort();
} else {
std::cout << " < " << tolerance << " -> check passed" << std::endl;
}
std::cout << GridLogMG << " Level " << _CurrentLevel << ": **************************************************" << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": MG correctness check: 0 == |(Im(v_c^dag D_c^dag D_c v_c)|" << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": **************************************************" << std::endl;
random(_LevelInfo.PRNGs[_NextCoarserLevel], coarseTmps[0]);
coarseMdagMOp.Op(coarseTmps[0], coarseTmps[1]); // D_c v_c
coarseMdagMOp.AdjOp(coarseTmps[1], coarseTmps[2]); // D_c^dag D_c v_c
auto dot = innerProduct(coarseTmps[0], coarseTmps[2]); //v_c^dag D_c^dag D_c v_c
deviation = std::abs(imag(dot)) / std::abs(real(dot));
std::cout << GridLogMG << " Level " << _CurrentLevel << ": Re(v_c^dag D_c^dag D_c v_c) = " << real(dot)
<< " | Im(v_c^dag D_c^dag D_c v_c) = " << imag(dot) << " | relative deviation = " << deviation;
if(deviation > tolerance) {
std::cout << " > " << tolerance << " -> check failed" << std::endl;
abort();
} else {
std::cout << " < " << tolerance << " -> check passed" << std::endl;
}
_NextPreconditionerLevel->runChecks(tolerance);
}
void reportTimings() {
// clang-format off
std::cout << GridLogMG << " Level " << _CurrentLevel << ": Time elapsed: Sum total " << _SetupTotalTimer.Elapsed() + _SolveTotalTimer.Elapsed() << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": Time elapsed: Setup total " << _SetupTotalTimer.Elapsed() << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": Time elapsed: Setup create subspace " << _SetupCreateSubspaceTimer.Elapsed() << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": Time elapsed: Setup project chiral " << _SetupProjectToChiralitiesTimer.Elapsed() << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": Time elapsed: Setup coarsen operator " << _SetupCoarsenOperatorTimer.Elapsed() << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": Time elapsed: Setup next level " << _SetupNextLevelTimer.Elapsed() << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": Time elapsed: Solve total " << _SolveTotalTimer.Elapsed() << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": Time elapsed: Solve restriction " << _SolveRestrictionTimer.Elapsed() << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": Time elapsed: Solve prolongation " << _SolveProlongationTimer.Elapsed() << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": Time elapsed: Solve smoother " << _SolveSmootherTimer.Elapsed() << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": Time elapsed: Solve next level " << _SolveNextLevelTimer.Elapsed() << std::endl;
// clang-format on
_NextPreconditionerLevel->reportTimings();
}
void resetTimers() {
_SetupTotalTimer.Reset();
_SetupCreateSubspaceTimer.Reset();
_SetupProjectToChiralitiesTimer.Reset();
_SetupCoarsenOperatorTimer.Reset();
_SetupNextLevelTimer.Reset();
_SolveTotalTimer.Reset();
_SolveRestrictionTimer.Reset();
_SolveProlongationTimer.Reset();
_SolveSmootherTimer.Reset();
_SolveNextLevelTimer.Reset();
_NextPreconditionerLevel->resetTimers();
}
};
// Specialization for the coarsest level
template<class Fobj, class CComplex, int nBasis, class Matrix>
class MultiGridPreconditioner<Fobj, CComplex, nBasis, 0, Matrix> : public MultiGridPreconditionerBase<Lattice<Fobj>> {
public:
/////////////////////////////////////////////
// Type Definitions
/////////////////////////////////////////////
typedef Matrix FineDiracMatrix;
typedef Lattice<Fobj> FineVector;
/////////////////////////////////////////////
// Member Data
/////////////////////////////////////////////
int _CurrentLevel;
MultiGridParams &_MultiGridParams;
LevelInfo & _LevelInfo;
FineDiracMatrix &_FineMatrix;
FineDiracMatrix &_SmootherMatrix;
GridStopWatch _SolveTotalTimer;
GridStopWatch _SolveSmootherTimer;
/////////////////////////////////////////////
// Member Functions
/////////////////////////////////////////////
MultiGridPreconditioner(MultiGridParams &mgParams, LevelInfo &LvlInfo, FineDiracMatrix &FineMat, FineDiracMatrix &SmootherMat)
: _CurrentLevel(mgParams.nLevels - (0 + 1))
, _MultiGridParams(mgParams)
, _LevelInfo(LvlInfo)
, _FineMatrix(FineMat)
, _SmootherMatrix(SmootherMat) {
resetTimers();
}
void setup() {}
virtual void operator()(FineVector const &in, FineVector &out) {
_SolveTotalTimer.Start();
conformable(_LevelInfo.Grids[_CurrentLevel], in._grid);
conformable(in, out);
auto coarseSolverMaxIter = _MultiGridParams.coarseSolverMaxOuterIter * _MultiGridParams.coarseSolverMaxInnerIter;
// On the coarsest level we only have what I above call the fine level, no coarse one
TrivialPrecon<FineVector> fineTrivialPreconditioner;
FlexibleGeneralisedMinimalResidual<FineVector> fineFGMRES(
_MultiGridParams.coarseSolverTol, coarseSolverMaxIter, fineTrivialPreconditioner, _MultiGridParams.coarseSolverMaxInnerIter, false);
MdagMLinearOperator<FineDiracMatrix, FineVector> fineMdagMOp(_FineMatrix);
_SolveSmootherTimer.Start();
fineFGMRES(fineMdagMOp, in, out);
_SolveSmootherTimer.Stop();
_SolveTotalTimer.Stop();
}
void runChecks(RealD tolerance) {}
void reportTimings() {
// clang-format off
std::cout << GridLogMG << " Level " << _CurrentLevel << ": Time elapsed: Solve total " << _SolveTotalTimer.Elapsed() << std::endl;
std::cout << GridLogMG << " Level " << _CurrentLevel << ": Time elapsed: Solve smoother " << _SolveSmootherTimer.Elapsed() << std::endl;
// clang-format on
}
void resetTimers() {
_SolveTotalTimer.Reset();
_SolveSmootherTimer.Reset();
}
};
template<class Fobj, class CComplex, int nBasis, int nLevels, class Matrix>
using NLevelMGPreconditioner = MultiGridPreconditioner<Fobj, CComplex, nBasis, nLevels - 1, Matrix>;
template<class Fobj, class CComplex, int nBasis, class Matrix>
std::unique_ptr<MultiGridPreconditionerBase<Lattice<Fobj>>>
createMGInstance(MultiGridParams &mgParams, LevelInfo &levelInfo, Matrix &FineMat, Matrix &SmootherMat) {
#define CASE_FOR_N_LEVELS(nLevels) \
case nLevels: \
return std::unique_ptr<NLevelMGPreconditioner<Fobj, CComplex, nBasis, nLevels, Matrix>>( \
new NLevelMGPreconditioner<Fobj, CComplex, nBasis, nLevels, Matrix>(mgParams, levelInfo, FineMat, SmootherMat)); \
break;
switch(mgParams.nLevels) {
CASE_FOR_N_LEVELS(2);
CASE_FOR_N_LEVELS(3);
CASE_FOR_N_LEVELS(4);
default:
std::cout << GridLogError << "We currently only support nLevels ∈ {2, 3, 4}" << std::endl;
exit(EXIT_FAILURE);
break;
}
#undef CASE_FOR_N_LEVELS
}
}
#endif

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_staggered_cagmres_unprec.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
using namespace Grid::QCD;
int main (int argc, char ** argv)
{
typedef typename ImprovedStaggeredFermionR::FermionField FermionField;
typedef typename ImprovedStaggeredFermionR::ComplexField ComplexField;
typename ImprovedStaggeredFermionR::ImplParams params;
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGrid(&Grid);
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
FermionField src(&Grid); random(pRNG,src);
RealD nrm = norm2(src);
FermionField result(&Grid); result=zero;
LatticeGaugeField Umu(&Grid); SU3::HotConfiguration(pRNG,Umu);
double volume=1;
for(int mu=0;mu<Nd;mu++){
volume=volume*latt_size[mu];
}
RealD mass=0.5;
RealD c1=9.0/8.0;
RealD c2=-1.0/24.0;
RealD u0=1.0;
ImprovedStaggeredFermionR Ds(Umu,Umu,Grid,RBGrid,mass,c1,c2,u0);
MdagMLinearOperator<ImprovedStaggeredFermionR,FermionField> HermOp(Ds);
CommunicationAvoidingGeneralisedMinimalResidual<FermionField> CAGMRES(1.0e-8, 10000, 25);
CAGMRES(HermOp,src,result);
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_staggered_fcagmres_prec.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
using namespace Grid::QCD;
int main (int argc, char ** argv)
{
typedef typename ImprovedStaggeredFermionR::FermionField FermionField;
typedef typename ImprovedStaggeredFermionR::ComplexField ComplexField;
typename ImprovedStaggeredFermionR::ImplParams params;
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGrid(&Grid);
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
FermionField src(&Grid); random(pRNG,src);
RealD nrm = norm2(src);
FermionField result(&Grid); result=zero;
LatticeGaugeField Umu(&Grid); SU3::HotConfiguration(pRNG,Umu);
double volume=1;
for(int mu=0;mu<Nd;mu++){
volume=volume*latt_size[mu];
}
RealD mass=0.5;
RealD c1=9.0/8.0;
RealD c2=-1.0/24.0;
RealD u0=1.0;
ImprovedStaggeredFermionR Ds(Umu,Umu,Grid,RBGrid,mass,c1,c2,u0);
MdagMLinearOperator<ImprovedStaggeredFermionR,FermionField> HermOp(Ds);
TrivialPrecon<FermionField> simple;
FlexibleCommunicationAvoidingGeneralisedMinimalResidual<FermionField> FCAGMRES(1.0e-8, 10000, simple, 25);
FCAGMRES(HermOp,src,result);
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_staggered_fgmres_prec.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
using namespace Grid::QCD;
int main (int argc, char ** argv)
{
typedef typename ImprovedStaggeredFermionR::FermionField FermionField;
typedef typename ImprovedStaggeredFermionR::ComplexField ComplexField;
typename ImprovedStaggeredFermionR::ImplParams params;
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGrid(&Grid);
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
FermionField src(&Grid); random(pRNG,src);
RealD nrm = norm2(src);
FermionField result(&Grid); result=zero;
LatticeGaugeField Umu(&Grid); SU3::HotConfiguration(pRNG,Umu);
double volume=1;
for(int mu=0;mu<Nd;mu++){
volume=volume*latt_size[mu];
}
RealD mass=0.5;
RealD c1=9.0/8.0;
RealD c2=-1.0/24.0;
RealD u0=1.0;
ImprovedStaggeredFermionR Ds(Umu,Umu,Grid,RBGrid,mass,c1,c2,u0);
MdagMLinearOperator<ImprovedStaggeredFermionR,FermionField> HermOp(Ds);
TrivialPrecon<FermionField> simple;
FlexibleGeneralisedMinimalResidual<FermionField> FGMRES(1.0e-8, 10000, simple, 25);
FGMRES(HermOp,src,result);
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_staggered_gmres_unprec.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
using namespace Grid::QCD;
int main (int argc, char ** argv)
{
typedef typename ImprovedStaggeredFermionR::FermionField FermionField;
typedef typename ImprovedStaggeredFermionR::ComplexField ComplexField;
typename ImprovedStaggeredFermionR::ImplParams params;
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGrid(&Grid);
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
FermionField src(&Grid); random(pRNG,src);
RealD nrm = norm2(src);
FermionField result(&Grid); result=zero;
LatticeGaugeField Umu(&Grid); SU3::HotConfiguration(pRNG,Umu);
double volume=1;
for(int mu=0;mu<Nd;mu++){
volume=volume*latt_size[mu];
}
RealD mass=0.5;
RealD c1=9.0/8.0;
RealD c2=-1.0/24.0;
RealD u0=1.0;
ImprovedStaggeredFermionR Ds(Umu,Umu,Grid,RBGrid,mass,c1,c2,u0);
MdagMLinearOperator<ImprovedStaggeredFermionR,FermionField> HermOp(Ds);
GeneralisedMinimalResidual<FermionField> GMRES(1.0e-8, 10000, 25);
GMRES(HermOp,src,result);
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_staggered_mr_unprec.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
using namespace Grid::QCD;
int main (int argc, char ** argv)
{
typedef typename ImprovedStaggeredFermionR::FermionField FermionField;
typedef typename ImprovedStaggeredFermionR::ComplexField ComplexField;
typename ImprovedStaggeredFermionR::ImplParams params;
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGrid(&Grid);
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
FermionField src(&Grid); random(pRNG,src);
RealD nrm = norm2(src);
FermionField result(&Grid); result=zero;
LatticeGaugeField Umu(&Grid); SU3::HotConfiguration(pRNG,Umu);
double volume=1;
for(int mu=0;mu<Nd;mu++){
volume=volume*latt_size[mu];
}
RealD mass=0.5;
RealD c1=9.0/8.0;
RealD c2=-1.0/24.0;
RealD u0=1.0;
ImprovedStaggeredFermionR Ds(Umu,Umu,Grid,RBGrid,mass,c1,c2,u0);
MdagMLinearOperator<ImprovedStaggeredFermionR,FermionField> HermOp(Ds);
MinimalResidual<FermionField> MR(1.0e-8,10000,0.8);
MR(HermOp,src,result);
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_wilson_cagmres_unprec.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
using namespace Grid::QCD;
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGrid(&Grid);
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
LatticeFermion src(&Grid); random(pRNG,src);
RealD nrm = norm2(src);
LatticeFermion result(&Grid); result=zero;
LatticeGaugeField Umu(&Grid); SU3::HotConfiguration(pRNG,Umu);
double volume=1;
for(int mu=0;mu<Nd;mu++){
volume=volume*latt_size[mu];
}
RealD mass=0.5;
WilsonFermionR Dw(Umu,Grid,RBGrid,mass);
MdagMLinearOperator<WilsonFermionR,LatticeFermion> HermOp(Dw);
CommunicationAvoidingGeneralisedMinimalResidual<LatticeFermion> CAGMRES(1.0e-8, 10000, 25);
CAGMRES(HermOp,src,result);
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_wilson_fcagmres_prec.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
using namespace Grid::QCD;
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGrid(&Grid);
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
LatticeFermion src(&Grid); random(pRNG,src);
RealD nrm = norm2(src);
LatticeFermion result(&Grid); result=zero;
LatticeGaugeField Umu(&Grid); SU3::HotConfiguration(pRNG,Umu);
double volume=1;
for(int mu=0;mu<Nd;mu++){
volume=volume*latt_size[mu];
}
RealD mass=0.5;
WilsonFermionR Dw(Umu,Grid,RBGrid,mass);
MdagMLinearOperator<WilsonFermionR,LatticeFermion> HermOp(Dw);
TrivialPrecon<LatticeFermion> simple;
FlexibleCommunicationAvoidingGeneralisedMinimalResidual<LatticeFermion> FCAGMRES(1.0e-8, 10000, simple, 25);
FCAGMRES(HermOp,src,result);
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_wilson_fgmres_prec.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
using namespace Grid::QCD;
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGrid(&Grid);
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
LatticeFermion src(&Grid); random(pRNG,src);
RealD nrm = norm2(src);
LatticeFermion result(&Grid); result=zero;
LatticeGaugeField Umu(&Grid); SU3::HotConfiguration(pRNG,Umu);
double volume=1;
for(int mu=0;mu<Nd;mu++){
volume=volume*latt_size[mu];
}
RealD mass=0.5;
WilsonFermionR Dw(Umu,Grid,RBGrid,mass);
MdagMLinearOperator<WilsonFermionR,LatticeFermion> HermOp(Dw);
TrivialPrecon<LatticeFermion> simple;
FlexibleGeneralisedMinimalResidual<LatticeFermion> FGMRES(1.0e-8, 10000, simple, 25);
FGMRES(HermOp,src,result);
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_wilson_gmres_unprec.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
using namespace Grid::QCD;
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGrid(&Grid);
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
LatticeFermion src(&Grid); random(pRNG,src);
RealD nrm = norm2(src);
LatticeFermion result(&Grid); result=zero;
LatticeGaugeField Umu(&Grid); SU3::HotConfiguration(pRNG,Umu);
double volume=1;
for(int mu=0;mu<Nd;mu++){
volume=volume*latt_size[mu];
}
RealD mass=0.5;
WilsonFermionR Dw(Umu,Grid,RBGrid,mass);
MdagMLinearOperator<WilsonFermionR,LatticeFermion> HermOp(Dw);
GeneralisedMinimalResidual<LatticeFermion> GMRES(1.0e-8, 10000, 25);
GMRES(HermOp,src,result);
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_wilson_mg.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
#include <Test_multigrid_common.h>
using namespace std;
using namespace Grid;
using namespace Grid::QCD;
int main(int argc, char **argv) {
Grid_init(&argc, &argv);
GridCartesian * FGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd, vComplex::Nsimd()), GridDefaultMpi());
GridRedBlackCartesian *FrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(FGrid);
std::vector<int> fSeeds({1, 2, 3, 4});
GridParallelRNG fPRNG(FGrid);
fPRNG.SeedFixedIntegers(fSeeds);
// clang-format off
LatticeFermion src(FGrid); gaussian(fPRNG, src);
LatticeFermion result(FGrid); result = zero;
LatticeGaugeField Umu(FGrid); SU3::HotConfiguration(fPRNG, Umu);
// clang-format on
RealD mass = -0.25;
MultiGridParams mgParams;
std::string inputXml{"./mg_params.xml"};
if(GridCmdOptionExists(argv, argv + argc, "--inputxml")) {
inputXml = GridCmdOptionPayload(argv, argv + argc, "--inputxml");
assert(inputXml.length() != 0);
}
{
XmlWriter writer("mg_params_template.xml");
write(writer, "Params", mgParams);
std::cout << GridLogMessage << "Written mg_params_template.xml" << std::endl;
XmlReader reader(inputXml);
read(reader, "Params", mgParams);
std::cout << GridLogMessage << "Read in " << inputXml << std::endl;
}
checkParameterValidity(mgParams);
std::cout << mgParams << std::endl;
LevelInfo levelInfo(FGrid, mgParams);
// Note: We do chiral doubling, so actually only nbasis/2 full basis vectors are used
const int nbasis = 40;
WilsonFermionR Dw(Umu, *FGrid, *FrbGrid, mass);
MdagMLinearOperator<WilsonFermionR, LatticeFermion> MdagMOpDw(Dw);
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Testing Multigrid for Wilson" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
TrivialPrecon<LatticeFermion> TrivialPrecon;
auto MGPreconDw = createMGInstance<vSpinColourVector, vTComplex, nbasis, WilsonFermionR>(mgParams, levelInfo, Dw, Dw);
MGPreconDw->setup();
if(GridCmdOptionExists(argv, argv + argc, "--runchecks")) {
RealD toleranceForMGChecks = (getPrecision<LatticeFermion>::value == 1) ? 1e-6 : 1e-13;
MGPreconDw->runChecks(toleranceForMGChecks);
}
std::vector<std::unique_ptr<OperatorFunction<LatticeFermion>>> solversDw;
solversDw.emplace_back(new ConjugateGradient<LatticeFermion>(1.0e-12, 50000, false));
solversDw.emplace_back(new FlexibleGeneralisedMinimalResidual<LatticeFermion>(1.0e-12, 50000, TrivialPrecon, 100, false));
solversDw.emplace_back(new FlexibleGeneralisedMinimalResidual<LatticeFermion>(1.0e-12, 50000, *MGPreconDw, 100, false));
for(auto const &solver : solversDw) {
std::cout << std::endl << "Starting with a new solver" << std::endl;
result = zero;
(*solver)(MdagMOpDw, src, result);
}
MGPreconDw->reportTimings();
Grid_finalize();
}

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@ -0,0 +1,166 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_wilson_mg_mp.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
#include <Test_multigrid_common.h>
using namespace std;
using namespace Grid;
using namespace Grid::QCD;
int main(int argc, char **argv) {
Grid_init(&argc, &argv);
// clang-format off
GridCartesian *FGrid_d = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd, vComplexD::Nsimd()), GridDefaultMpi());
GridCartesian *FGrid_f = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd, vComplexF::Nsimd()), GridDefaultMpi());
GridRedBlackCartesian *FrbGrid_d = SpaceTimeGrid::makeFourDimRedBlackGrid(FGrid_d);
GridRedBlackCartesian *FrbGrid_f = SpaceTimeGrid::makeFourDimRedBlackGrid(FGrid_f);
// clang-format on
std::vector<int> fSeeds({1, 2, 3, 4});
GridParallelRNG fPRNG(FGrid_d);
fPRNG.SeedFixedIntegers(fSeeds);
// clang-format off
LatticeFermionD src_d(FGrid_d); gaussian(fPRNG, src_d);
LatticeFermionD resultMGD_d(FGrid_d); resultMGD_d = zero;
LatticeFermionD resultMGF_d(FGrid_d); resultMGF_d = zero;
LatticeGaugeFieldD Umu_d(FGrid_d); SU3::HotConfiguration(fPRNG, Umu_d);
LatticeGaugeFieldF Umu_f(FGrid_f); precisionChange(Umu_f, Umu_d);
// clang-format on
RealD mass = -0.25;
MultiGridParams mgParams;
std::string inputXml{"./mg_params.xml"};
if(GridCmdOptionExists(argv, argv + argc, "--inputxml")) {
inputXml = GridCmdOptionPayload(argv, argv + argc, "--inputxml");
assert(inputXml.length() != 0);
}
{
XmlWriter writer("mg_params_template.xml");
write(writer, "Params", mgParams);
std::cout << GridLogMessage << "Written mg_params_template.xml" << std::endl;
XmlReader reader(inputXml);
read(reader, "Params", mgParams);
std::cout << GridLogMessage << "Read in " << inputXml << std::endl;
}
checkParameterValidity(mgParams);
std::cout << mgParams << std::endl;
LevelInfo levelInfo_d(FGrid_d, mgParams);
LevelInfo levelInfo_f(FGrid_f, mgParams);
// Note: We do chiral doubling, so actually only nbasis/2 full basis vectors are used
const int nbasis = 40;
WilsonFermionD Dw_d(Umu_d, *FGrid_d, *FrbGrid_d, mass);
WilsonFermionF Dw_f(Umu_f, *FGrid_f, *FrbGrid_f, mass);
MdagMLinearOperator<WilsonFermionD, LatticeFermionD> MdagMOpDw_d(Dw_d);
MdagMLinearOperator<WilsonFermionF, LatticeFermionF> MdagMOpDw_f(Dw_f);
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Testing single-precision Multigrid for Wilson" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
auto MGPreconDw_f = createMGInstance<vSpinColourVectorF, vTComplexF, nbasis, WilsonFermionF>(mgParams, levelInfo_f, Dw_f, Dw_f);
MGPreconDw_f->setup();
if(GridCmdOptionExists(argv, argv + argc, "--runchecks")) {
MGPreconDw_f->runChecks(1e-6);
}
MixedPrecisionFlexibleGeneralisedMinimalResidual<LatticeFermionD, LatticeFermionF> MPFGMRESPREC(1.0e-12, 50000, FGrid_f, *MGPreconDw_f, 100, false);
std::cout << std::endl << "Starting with a new solver" << std::endl;
MPFGMRESPREC(MdagMOpDw_d, src_d, resultMGF_d);
MGPreconDw_f->reportTimings();
if(GridCmdOptionExists(argv, argv + argc, "--docomparison")) {
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Testing double-precision Multigrid for Wilson" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
auto MGPreconDw_d = createMGInstance<vSpinColourVectorD, vTComplexD, nbasis, WilsonFermionD>(mgParams, levelInfo_d, Dw_d, Dw_d);
MGPreconDw_d->setup();
if(GridCmdOptionExists(argv, argv + argc, "--runchecks")) {
MGPreconDw_d->runChecks(1e-13);
}
FlexibleGeneralisedMinimalResidual<LatticeFermionD> FGMRESPREC(1.0e-12, 50000, *MGPreconDw_d, 100, false);
std::cout << std::endl << "Starting with a new solver" << std::endl;
FGMRESPREC(MdagMOpDw_d, src_d, resultMGD_d);
MGPreconDw_d->reportTimings();
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Comparing single-precision Multigrid with double-precision one for Wilson" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
LatticeFermionD diffFullSolver(FGrid_d);
RealD deviationFullSolver = axpy_norm(diffFullSolver, -1.0, resultMGF_d, resultMGD_d);
// clang-format off
LatticeFermionF src_f(FGrid_f); precisionChange(src_f, src_d);
LatticeFermionF resMGF_f(FGrid_f); resMGF_f = zero;
LatticeFermionD resMGD_d(FGrid_d); resMGD_d = zero;
// clang-format on
(*MGPreconDw_f)(src_f, resMGF_f);
(*MGPreconDw_d)(src_d, resMGD_d);
LatticeFermionD diffOnlyMG(FGrid_d);
LatticeFermionD resMGF_d(FGrid_d);
precisionChange(resMGF_d, resMGF_f);
RealD deviationOnlyPrec = axpy_norm(diffOnlyMG, -1.0, resMGF_d, resMGD_d);
// clang-format off
std::cout << GridLogMessage << "Absolute difference between FGMRES preconditioned by double and single precicision MG: " << deviationFullSolver << std::endl;
std::cout << GridLogMessage << "Relative deviation between FGMRES preconditioned by double and single precicision MG: " << deviationFullSolver / norm2(resultMGD_d) << std::endl;
std::cout << GridLogMessage << "Absolute difference between one iteration of MG Prec in double and single precision: " << deviationOnlyPrec << std::endl;
std::cout << GridLogMessage << "Relative deviation between one iteration of MG Prec in double and single precision: " << deviationOnlyPrec / norm2(resMGD_d) << std::endl;
// clang-format on
}
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_wilson_mr_unprec.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
using namespace Grid::QCD;
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGrid(&Grid);
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
LatticeFermion src(&Grid); random(pRNG,src);
RealD nrm = norm2(src);
LatticeFermion result(&Grid); result=zero;
LatticeGaugeField Umu(&Grid); SU3::HotConfiguration(pRNG,Umu);
double volume=1;
for(int mu=0;mu<Nd;mu++){
volume=volume*latt_size[mu];
}
RealD mass=0.5;
WilsonFermionR Dw(Umu,Grid,RBGrid,mass);
MdagMLinearOperator<WilsonFermionR,LatticeFermion> HermOp(Dw);
MinimalResidual<LatticeFermion> MR(1.0e-8,10000,0.8);
MR(HermOp,src,result);
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_wilsonclover_cagmres_unprec.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
using namespace Grid::QCD;
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGrid(&Grid);
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
typedef typename WilsonCloverFermionR::FermionField FermionField;
typename WilsonCloverFermionR::ImplParams params;
WilsonAnisotropyCoefficients anis;
FermionField src(&Grid); random(pRNG,src);
RealD nrm = norm2(src);
FermionField result(&Grid); result=zero;
LatticeGaugeField Umu(&Grid); SU3::HotConfiguration(pRNG,Umu);
double volume=1;
for(int mu=0;mu<Nd;mu++){
volume=volume*latt_size[mu];
}
RealD mass = 0.5;
RealD csw_r = 1.0;
RealD csw_t = 1.0;
WilsonCloverFermionR Dwc(Umu,Grid,RBGrid,mass,csw_r,csw_t,anis,params);
MdagMLinearOperator<WilsonCloverFermionR,FermionField> HermOp(Dwc);
CommunicationAvoidingGeneralisedMinimalResidual<FermionField> CAGMRES(1.0e-8, 10000, 25);
CAGMRES(HermOp,src,result);
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_wilsonclover_fcagmres_prec.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
using namespace Grid::QCD;
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGrid(&Grid);
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
typedef typename WilsonCloverFermionR::FermionField FermionField;
typename WilsonCloverFermionR::ImplParams params;
WilsonAnisotropyCoefficients anis;
FermionField src(&Grid); random(pRNG,src);
RealD nrm = norm2(src);
FermionField result(&Grid); result=zero;
LatticeGaugeField Umu(&Grid); SU3::HotConfiguration(pRNG,Umu);
double volume=1;
for(int mu=0;mu<Nd;mu++){
volume=volume*latt_size[mu];
}
RealD mass = 0.5;
RealD csw_r = 1.0;
RealD csw_t = 1.0;
WilsonCloverFermionR Dwc(Umu,Grid,RBGrid,mass,csw_r,csw_t,anis,params);
MdagMLinearOperator<WilsonCloverFermionR,FermionField> HermOp(Dwc);
TrivialPrecon<FermionField> simple;
FlexibleCommunicationAvoidingGeneralisedMinimalResidual<FermionField> FCAGMRES(1.0e-8, 10000, simple, 25);
FCAGMRES(HermOp,src,result);
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_wilsonclover_fgmres_prec.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
using namespace Grid::QCD;
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGrid(&Grid);
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
typedef typename WilsonCloverFermionR::FermionField FermionField;
typename WilsonCloverFermionR::ImplParams params;
WilsonAnisotropyCoefficients anis;
FermionField src(&Grid); random(pRNG,src);
RealD nrm = norm2(src);
FermionField result(&Grid); result=zero;
LatticeGaugeField Umu(&Grid); SU3::HotConfiguration(pRNG,Umu);
double volume=1;
for(int mu=0;mu<Nd;mu++){
volume=volume*latt_size[mu];
}
RealD mass = 0.5;
RealD csw_r = 1.0;
RealD csw_t = 1.0;
WilsonCloverFermionR Dwc(Umu,Grid,RBGrid,mass,csw_r,csw_t,anis,params);
MdagMLinearOperator<WilsonCloverFermionR,FermionField> HermOp(Dwc);
TrivialPrecon<FermionField> simple;
FlexibleGeneralisedMinimalResidual<FermionField> FGMRES(1.0e-8, 10000, simple, 25);
FGMRES(HermOp,src,result);
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_wilsonclover_gmres_unprec.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
using namespace Grid::QCD;
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGrid(&Grid);
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
typedef typename WilsonCloverFermionR::FermionField FermionField;
typename WilsonCloverFermionR::ImplParams params;
WilsonAnisotropyCoefficients anis;
FermionField src(&Grid); random(pRNG,src);
RealD nrm = norm2(src);
FermionField result(&Grid); result=zero;
LatticeGaugeField Umu(&Grid); SU3::HotConfiguration(pRNG,Umu);
double volume=1;
for(int mu=0;mu<Nd;mu++){
volume=volume*latt_size[mu];
}
RealD mass = 0.5;
RealD csw_r = 1.0;
RealD csw_t = 1.0;
WilsonCloverFermionR Dwc(Umu,Grid,RBGrid,mass,csw_r,csw_t,anis,params);
MdagMLinearOperator<WilsonCloverFermionR,FermionField> HermOp(Dwc);
GeneralisedMinimalResidual<FermionField> GMRES(1.0e-8, 10000, 25);
GMRES(HermOp,src,result);
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_wilsonclover_mg.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
#include <Test_multigrid_common.h>
using namespace std;
using namespace Grid;
using namespace Grid::QCD;
int main(int argc, char **argv) {
Grid_init(&argc, &argv);
GridCartesian * FGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd, vComplex::Nsimd()), GridDefaultMpi());
GridRedBlackCartesian *FrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(FGrid);
std::vector<int> fSeeds({1, 2, 3, 4});
GridParallelRNG fPRNG(FGrid);
fPRNG.SeedFixedIntegers(fSeeds);
// clang-format off
LatticeFermion src(FGrid); gaussian(fPRNG, src);
LatticeFermion result(FGrid); result = zero;
LatticeGaugeField Umu(FGrid); SU3::HotConfiguration(fPRNG, Umu);
// clang-format on
RealD mass = -0.25;
RealD csw_r = 1.0;
RealD csw_t = 1.0;
MultiGridParams mgParams;
std::string inputXml{"./mg_params.xml"};
if(GridCmdOptionExists(argv, argv + argc, "--inputxml")) {
inputXml = GridCmdOptionPayload(argv, argv + argc, "--inputxml");
assert(inputXml.length() != 0);
}
{
XmlWriter writer("mg_params_template.xml");
write(writer, "Params", mgParams);
std::cout << GridLogMessage << "Written mg_params_template.xml" << std::endl;
XmlReader reader(inputXml);
read(reader, "Params", mgParams);
std::cout << GridLogMessage << "Read in " << inputXml << std::endl;
}
checkParameterValidity(mgParams);
std::cout << mgParams << std::endl;
LevelInfo levelInfo(FGrid, mgParams);
// Note: We do chiral doubling, so actually only nbasis/2 full basis vectors are used
const int nbasis = 40;
WilsonCloverFermionR Dwc(Umu, *FGrid, *FrbGrid, mass, csw_r, csw_t);
MdagMLinearOperator<WilsonCloverFermionR, LatticeFermion> MdagMOpDwc(Dwc);
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Testing Multigrid for Wilson Clover" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
TrivialPrecon<LatticeFermion> TrivialPrecon;
auto MGPreconDwc = createMGInstance<vSpinColourVector, vTComplex, nbasis, WilsonCloverFermionR>(mgParams, levelInfo, Dwc, Dwc);
MGPreconDwc->setup();
if(GridCmdOptionExists(argv, argv + argc, "--runchecks")) {
RealD toleranceForMGChecks = (getPrecision<LatticeFermion>::value == 1) ? 1e-6 : 1e-13;
MGPreconDwc->runChecks(toleranceForMGChecks);
}
std::vector<std::unique_ptr<OperatorFunction<LatticeFermion>>> solversDwc;
solversDwc.emplace_back(new ConjugateGradient<LatticeFermion>(1.0e-12, 50000, false));
solversDwc.emplace_back(new FlexibleGeneralisedMinimalResidual<LatticeFermion>(1.0e-12, 50000, TrivialPrecon, 100, false));
solversDwc.emplace_back(new FlexibleGeneralisedMinimalResidual<LatticeFermion>(1.0e-12, 50000, *MGPreconDwc, 100, false));
for(auto const &solver : solversDwc) {
std::cout << std::endl << "Starting with a new solver" << std::endl;
result = zero;
(*solver)(MdagMOpDwc, src, result);
std::cout << std::endl;
}
MGPreconDwc->reportTimings();
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_wilsonclover_mg_mp.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
#include <Test_multigrid_common.h>
using namespace std;
using namespace Grid;
using namespace Grid::QCD;
int main(int argc, char **argv) {
Grid_init(&argc, &argv);
// clang-format off
GridCartesian *FGrid_d = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd, vComplexD::Nsimd()), GridDefaultMpi());
GridCartesian *FGrid_f = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd, vComplexF::Nsimd()), GridDefaultMpi());
GridRedBlackCartesian *FrbGrid_d = SpaceTimeGrid::makeFourDimRedBlackGrid(FGrid_d);
GridRedBlackCartesian *FrbGrid_f = SpaceTimeGrid::makeFourDimRedBlackGrid(FGrid_f);
// clang-format on
std::vector<int> fSeeds({1, 2, 3, 4});
GridParallelRNG fPRNG(FGrid_d);
fPRNG.SeedFixedIntegers(fSeeds);
// clang-format off
LatticeFermionD src_d(FGrid_d); gaussian(fPRNG, src_d);
LatticeFermionD resultMGD_d(FGrid_d); resultMGD_d = zero;
LatticeFermionD resultMGF_d(FGrid_d); resultMGF_d = zero;
LatticeGaugeFieldD Umu_d(FGrid_d); SU3::HotConfiguration(fPRNG, Umu_d);
LatticeGaugeFieldF Umu_f(FGrid_f); precisionChange(Umu_f, Umu_d);
// clang-format on
RealD mass = -0.25;
RealD csw_r = 1.0;
RealD csw_t = 1.0;
MultiGridParams mgParams;
std::string inputXml{"./mg_params.xml"};
if(GridCmdOptionExists(argv, argv + argc, "--inputxml")) {
inputXml = GridCmdOptionPayload(argv, argv + argc, "--inputxml");
assert(inputXml.length() != 0);
}
{
XmlWriter writer("mg_params_template.xml");
write(writer, "Params", mgParams);
std::cout << GridLogMessage << "Written mg_params_template.xml" << std::endl;
XmlReader reader(inputXml);
read(reader, "Params", mgParams);
std::cout << GridLogMessage << "Read in " << inputXml << std::endl;
}
checkParameterValidity(mgParams);
std::cout << mgParams << std::endl;
LevelInfo levelInfo_d(FGrid_d, mgParams);
LevelInfo levelInfo_f(FGrid_f, mgParams);
// Note: We do chiral doubling, so actually only nbasis/2 full basis vectors are used
const int nbasis = 40;
WilsonCloverFermionD Dwc_d(Umu_d, *FGrid_d, *FrbGrid_d, mass, csw_r, csw_t);
WilsonCloverFermionF Dwc_f(Umu_f, *FGrid_f, *FrbGrid_f, mass, csw_r, csw_t);
MdagMLinearOperator<WilsonCloverFermionD, LatticeFermionD> MdagMOpDwc_d(Dwc_d);
MdagMLinearOperator<WilsonCloverFermionF, LatticeFermionF> MdagMOpDwc_f(Dwc_f);
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Testing single-precision Multigrid for Wilson Clover" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
auto MGPreconDwc_f = createMGInstance<vSpinColourVectorF, vTComplexF, nbasis, WilsonCloverFermionF>(mgParams, levelInfo_f, Dwc_f, Dwc_f);
MGPreconDwc_f->setup();
if(GridCmdOptionExists(argv, argv + argc, "--runchecks")) {
MGPreconDwc_f->runChecks(1e-6);
}
MixedPrecisionFlexibleGeneralisedMinimalResidual<LatticeFermionD, LatticeFermionF> MPFGMRESPREC(
1.0e-12, 50000, FGrid_f, *MGPreconDwc_f, 100, false);
std::cout << std::endl << "Starting with a new solver" << std::endl;
MPFGMRESPREC(MdagMOpDwc_d, src_d, resultMGF_d);
MGPreconDwc_f->reportTimings();
if(GridCmdOptionExists(argv, argv + argc, "--docomparison")) {
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Testing double-precision Multigrid for Wilson Clover" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
auto MGPreconDwc_d = createMGInstance<vSpinColourVectorD, vTComplexD, nbasis, WilsonCloverFermionD>(mgParams, levelInfo_d, Dwc_d, Dwc_d);
MGPreconDwc_d->setup();
if(GridCmdOptionExists(argv, argv + argc, "--runchecks")) {
MGPreconDwc_d->runChecks(1e-13);
}
FlexibleGeneralisedMinimalResidual<LatticeFermionD> FGMRESPREC(1.0e-12, 50000, *MGPreconDwc_d, 100, false);
std::cout << std::endl << "Starting with a new solver" << std::endl;
FGMRESPREC(MdagMOpDwc_d, src_d, resultMGD_d);
MGPreconDwc_d->reportTimings();
std::cout << GridLogMessage << "**************************************************" << std::endl;
std::cout << GridLogMessage << "Comparing single-precision Multigrid with double-precision one for Wilson Clover" << std::endl;
std::cout << GridLogMessage << "**************************************************" << std::endl;
LatticeFermionD diffFullSolver(FGrid_d);
RealD deviationFullSolver = axpy_norm(diffFullSolver, -1.0, resultMGF_d, resultMGD_d);
// clang-format off
LatticeFermionF src_f(FGrid_f); precisionChange(src_f, src_d);
LatticeFermionF resMGF_f(FGrid_f); resMGF_f = zero;
LatticeFermionD resMGD_d(FGrid_d); resMGD_d = zero;
// clang-format on
(*MGPreconDwc_f)(src_f, resMGF_f);
(*MGPreconDwc_d)(src_d, resMGD_d);
LatticeFermionD diffOnlyMG(FGrid_d);
LatticeFermionD resMGF_d(FGrid_d);
precisionChange(resMGF_d, resMGF_f);
RealD deviationOnlyPrec = axpy_norm(diffOnlyMG, -1.0, resMGF_d, resMGD_d);
// clang-format off
std::cout << GridLogMessage << "Absolute difference between FGMRES preconditioned by double and single precicision MG: " << deviationFullSolver << std::endl;
std::cout << GridLogMessage << "Relative deviation between FGMRES preconditioned by double and single precicision MG: " << deviationFullSolver / norm2(resultMGD_d) << std::endl;
std::cout << GridLogMessage << "Absolute difference between one iteration of MG Prec in double and single precision: " << deviationOnlyPrec << std::endl;
std::cout << GridLogMessage << "Relative deviation between one iteration of MG Prec in double and single precision: " << deviationOnlyPrec / norm2(resMGD_d) << std::endl;
// clang-format on
}
Grid_finalize();
}

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_wilsonclover_mr_unprec.cc
Copyright (C) 2015-2018
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
using namespace Grid::QCD;
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGrid(&Grid);
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
typedef typename WilsonCloverFermionR::FermionField FermionField;
typename WilsonCloverFermionR::ImplParams params;
WilsonAnisotropyCoefficients anis;
FermionField src(&Grid); random(pRNG,src);
RealD nrm = norm2(src);
FermionField result(&Grid); result=zero;
LatticeGaugeField Umu(&Grid); SU3::HotConfiguration(pRNG,Umu);
double volume=1;
for(int mu=0;mu<Nd;mu++){
volume=volume*latt_size[mu];
}
RealD mass = 0.5;
RealD csw_r = 1.0;
RealD csw_t = 1.0;
WilsonCloverFermionR Dwc(Umu,Grid,RBGrid,mass,csw_r,csw_t,anis,params);
MdagMLinearOperator<WilsonCloverFermionR,FermionField> HermOp(Dwc);
MinimalResidual<FermionField> MR(1.0e-8,10000,0.8);
MR(HermOp,src,result);
Grid_finalize();
}