Failed experiment in the style of Saul Cohens non-red black CG approach to mgrid.

This commit is contained in:
Peter Boyle
2026-08-19 20:04:29 -04:00
parent 109b77ea75
commit ea5bf89955
+355
View File
@@ -0,0 +1,355 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./examples/Example_mdagm_cg.cc
Copyright (C) 2024
Author: Peter Boyle <pboyle@bnl.gov>
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 */
// Two-level multigrid preconditioned CG for M†M (full Möbius DWF operator).
// Single RHS, targeting HMC use case.
//
// Operator hierarchy:
// Fine: M†M, acted on via HermOpAdaptor so Op = HermOp = M†M
// Coarse: 33-point GeneralCoarsenedMatrix (NextToNearest, 2-hop M†M)
//
// Setup:
// 1. Chebyshev filter (T_600 x T_2500) on M†M to build near-null subspace {ψᵢ}
// 2. Before block-local Gram-Schmidt, compute W_ij = <ψᵢ|M†M|ψⱼ> (nbasis×nbasis)
// and diagonalize it. The eigenvectors of W are approximate zero modes of the
// coarse operator; projecting them onto the coarse grid gives coarse deflation
// vectors. Block GS destroys the near-null property of individual basis vectors
// (they become local linear combinations), so this step must precede Orthogonalise.
// 3. Block-local Gram-Schmidt (Orthogonalise), then CoarsenOperator.
// 4. Project W eigenvectors χₖ = Σᵢ V[i,k] ψᵢ to coarse grid → deflation vectors.
//
// Solvers:
// Smoother: CG(nIter) on (M†M + lo*I)
// Coarse: DeflatedGuesser (nbasis W-eigenvectors) + CG to tolerance 5e-2
// Outer: PrecGeneralisedConjugateResidual with two-level V-cycle preconditioner
#include <Grid/Grid.h>
#include <Grid/lattice/PaddedCell.h>
#include <Grid/stencil/GeneralLocalStencil.h>
#include <Grid/algorithms/iterative/PrecGeneralisedConjugateResidual.h>
#include <Grid/algorithms/iterative/NormalEquations.h>
using namespace std;
using namespace Grid;
// Wraps any LinearOperatorBase so that Op = AdjOp = HermOp.
// Required when coarsening an HPD operator whose Op != HermOp
// (e.g. MdagMLinearOperator where Op=M, HermOp=M†M).
template<class Field>
class HermOpAdaptor : public LinearOperatorBase<Field>
{
LinearOperatorBase<Field> &wrapped;
public:
HermOpAdaptor(LinearOperatorBase<Field> &wrapme) : wrapped(wrapme) {}
void Op (const Field &in, Field &out) { wrapped.HermOp(in, out); }
void HermOp (const Field &in, Field &out) { wrapped.HermOp(in, out); }
void AdjOp (const Field &in, Field &out) { wrapped.HermOp(in, out); }
void OpDiag (const Field &in, Field &out) { GRID_ASSERT(0); }
void OpDir (const Field &in, Field &out, int dir, int disp) { GRID_ASSERT(0); }
void OpDirAll(const Field &in, std::vector<Field> &out) { GRID_ASSERT(0); }
void HermOpAndNorm(const Field &in, Field &out, RealD &n1, RealD &n2) {
wrapped.HermOp(in, out);
ComplexD dot = innerProduct(in, out);
n1 = real(dot); n2 = norm2(out);
}
};
// Fixed-iteration CG as a smoother (LinearFunction).
// Used as the IR-shifted smoother: solves (M†M + lo*I) x = b approximately.
template<class Field>
class CGSmoother : public LinearFunction<Field>
{
public:
using LinearFunction<Field>::operator();
LinearOperatorBase<Field> &_op;
int iters;
CGSmoother(int _iters, LinearOperatorBase<Field> &op) : _op(op), iters(_iters) {
std::cout << GridLogMessage << "CGSmoother order " << iters << std::endl;
}
void operator()(const Field &in, Field &out) {
ConjugateGradient<Field> CG(0.0, iters, false);
out = Zero();
CG(_op, in, out);
}
};
// Two-level V-cycle preconditioner (LinearFunction).
template<class Fobj, class CComplex, int nbasis>
class MGPreconditioner : public LinearFunction<Lattice<Fobj>>
{
public:
using LinearFunction<Lattice<Fobj>>::operator();
typedef Aggregation<Fobj, CComplex, nbasis> Aggregates;
typedef typename Aggregates::FineField FineField;
typedef typename Aggregates::CoarseVector CoarseVector;
typedef LinearOperatorBase<FineField> FineOperator;
typedef LinearFunction<FineField> FineSmoother;
typedef LinearOperatorBase<CoarseVector> CoarseOperator;
typedef LinearFunction<CoarseVector> CoarseSolver;
Aggregates &_Aggregates;
FineOperator &_FineOperator;
FineSmoother &_PreSmoother;
FineSmoother &_PostSmoother;
CoarseOperator &_CoarseOperator;
CoarseSolver &_CoarseSolve;
MGPreconditioner(Aggregates &Agg,
FineOperator &Fine,
FineSmoother &Pre,
FineSmoother &Post,
CoarseOperator &CoarseOp,
CoarseSolver &CoarseSolve)
: _Aggregates(Agg), _FineOperator(Fine),
_PreSmoother(Pre), _PostSmoother(Post),
_CoarseOperator(CoarseOp), _CoarseSolve(CoarseSolve) {}
virtual void operator()(const FineField &in, FineField &out)
{
GridBase *CoarseGrid = _Aggregates.CoarseGrid;
CoarseVector Csrc(CoarseGrid);
CoarseVector Csol(CoarseGrid);
FineField vec1(in.Grid());
FineField vec2(in.Grid());
double t;
// Pre-smooth
out = Zero();
t = -usecond();
_PreSmoother(in, out);
t += usecond();
std::cout << GridLogMessage << "PreSmoother " << t/1e3 << " ms" << std::endl;
// Residual -> coarse projection
_FineOperator.Op(out, vec1);
sub(vec1, in, vec1);
t = -usecond();
_Aggregates.ProjectToSubspace(Csrc, vec1);
t += usecond();
std::cout << GridLogMessage << "ProjectToSubspace " << t/1e3 << " ms" << std::endl;
// Coarse solve
Csol = Zero();
t = -usecond();
_CoarseSolve(Csrc, Csol);
t += usecond();
std::cout << GridLogMessage << "CoarseSolve " << t/1e3 << " ms" << std::endl;
// Promote correction and accumulate
t = -usecond();
_Aggregates.PromoteFromSubspace(Csol, vec1);
t += usecond();
std::cout << GridLogMessage << "PromoteFromSubspace " << t/1e3 << " ms" << std::endl;
add(out, out, vec1);
// Post-smooth on updated residual
_FineOperator.Op(out, vec1);
sub(vec1, in, vec1);
vec2 = Zero();
t = -usecond();
_PostSmoother(vec1, vec2);
t += usecond();
std::cout << GridLogMessage << "PostSmoother " << t/1e3 << " ms" << std::endl;
add(out, out, vec2);
}
};
int main(int argc, char **argv)
{
Grid_init(&argc, &argv);
// Physical parameters matching the 48^3 x 96 test ensemble.
// Target HMC ensemble is 128^3 x 288, Ls=12 at a^{-1}=3.5 GeV.
const int Ls = 24;
const int nbasis = 62;
RealD mass = 0.00078;
RealD M5 = 1.8;
RealD b = 1.5;
RealD c = 0.5;
{ const char *e = getenv("MASS"); if (e && *e) mass = atof(e); }
std::cout << GridLogMessage << "MdagM multigrid CG: mass=" << mass
<< " Ls=" << Ls << " b=" << b << " c=" << c << std::endl;
GridCartesian *UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(),
GridDefaultSimd(Nd, vComplex::Nsimd()),
GridDefaultMpi());
GridRedBlackCartesian *UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
GridCartesian *FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls, UGrid);
GridRedBlackCartesian *FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls, UGrid);
// Coarse grid: divide by 2 in each dimension, matching Example_mdagm.cc.
// Coarse dims {24,24,24,48} -> local {8,8,6,6} with MPI 3.3.4.8: all even,
// compatible with any power-of-2 SIMD layout.
Coordinate clatt = GridDefaultLatt();
for (int d = 0; d < (int)clatt.size(); d++) clatt[d] /= 2;
GridCartesian *Coarse4d = SpaceTimeGrid::makeFourDimGrid(clatt,
GridDefaultSimd(Nd, vComplex::Nsimd()),
GridDefaultMpi());
GridCartesian *Coarse5d = SpaceTimeGrid::makeFiveDimGrid(1, Coarse4d);
std::vector<int> seeds4({1,2,3,4});
std::vector<int> seeds5({5,6,7,8});
GridParallelRNG RNG5(FGrid); RNG5.SeedFixedIntegers(seeds5);
GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds4);
LatticeGaugeField Umu(UGrid);
FieldMetaData header;
std::string file("ckpoint_lat.1000");
NerscIO::readConfiguration(Umu, header, file);
///////////////////////////////////////////////////////////
// Fine operator: M†M on the full 5D lattice
// MdagMLinearOperator::Op = M (not M†M), HermOp = M†M.
// HermOpAdaptor makes Op = HermOp = M†M everywhere.
///////////////////////////////////////////////////////////
MobiusFermionD Ddwf(Umu, *FGrid, *FrbGrid, *UGrid, *UrbGrid, mass, M5, b, c);
MdagMLinearOperator<MobiusFermionD, LatticeFermionD> MdagMOp(Ddwf);
HermOpAdaptor<LatticeFermionD> HermFineOp(MdagMOp);
///////////////////////////////////////////////////////////
// Coarse operator: 33-point stencil for 2-hop M†M
///////////////////////////////////////////////////////////
typedef GeneralCoarsenedMatrix<vSpinColourVector, vTComplex, nbasis> LittleDiracOperator;
typedef LittleDiracOperator::CoarseVector CoarseVector;
NextToNearestStencilGeometry5D geom(Coarse5d);
LittleDiracOperator LittleDiracOp(geom, FGrid, Coarse5d);
///////////////////////////////////////////////////////////
// Near-null subspace via Chebyshev filter on M†M.
// After CreateSubspaceChebyshevNew, subspace[i] = ψᵢ are the
// original near-null vectors. Block-local Gram-Schmidt (Orthogonalise)
// will rotate them into orthonormal block basis, destroying the near-null
// property of individual vectors while preserving the subspace span.
// We must compute the cheap coarse deflation BEFORE Orthogonalise.
///////////////////////////////////////////////////////////
typedef Aggregation<vSpinColourVector, vTComplex, nbasis> Subspace;
Subspace Aggregates(Coarse5d, FGrid, 0);
RealD hi = 92.0;
Aggregates.CreateSubspaceChebyshevNew(RNG5, HermFineOp, hi);
// Compute W_ij = <ψᵢ|M†M|ψⱼ> and diagonalise BEFORE Orthogonalise.
// Orthogonalise() applies block-local Gram-Schmidt which rotates subspace[i]
// into an orthonormal block basis, destroying the near-null property of
// individual vectors. The original span is preserved, but we need the
// pre-GS ψᵢ to form χₖ = Σᵢ V[i,k] ψᵢ (approximate coarse zero modes).
std::vector<LatticeFermionD> chi(nbasis, FGrid);
{
std::vector<LatticeFermionD> &psi = Aggregates.subspace; // pre-GS near-null vecs
LatticeFermionD tmp(FGrid);
Eigen::MatrixXcd W = Eigen::MatrixXcd::Zero(nbasis, nbasis);
for (int i = 0; i < nbasis; i++) {
HermFineOp.Op(psi[i], tmp);
for (int j = 0; j < nbasis; j++)
W(j, i) = TensorRemove(innerProduct(psi[j], tmp));
}
Eigen::SelfAdjointEigenSolver<Eigen::MatrixXcd> esolver(W);
for (int k = 0; k < nbasis; k++) {
chi[k] = Zero();
for (int i = 0; i < nbasis; i++)
chi[k] += ComplexD(esolver.eigenvectors()(i, k)) * psi[i];
}
}
Aggregates.Orthogonalise();
///////////////////////////////////////////////////////////
// Build coarse operator from subspace (post-GS basis)
///////////////////////////////////////////////////////////
std::cout << GridLogMessage << "CoarsenOperator" << std::endl;
LittleDiracOp.CoarsenOperator(HermFineOp, Aggregates);
///////////////////////////////////////////////////////////
// Coarse linear operator (HPD: Op = HermOp = coarse M†M)
///////////////////////////////////////////////////////////
HermitianLinearOperator<LittleDiracOperator, CoarseVector> LinOpCoarse(LittleDiracOp);
///////////////////////////////////////////////////////////
// Project χₖ onto the coarse grid using the post-GS subspace.
// ProjectToSubspace implicitly applies U†(x_c) at each block,
// correctly mapping the pre-GS near-null combinations to coarse vectors.
// Rayleigh quotients on the coarse operator give accurate eigenvalues.
///////////////////////////////////////////////////////////
std::vector<CoarseVector> coarse_deflation_vecs(nbasis, Coarse5d);
std::vector<RealD> coarse_deflation_evals(nbasis);
{
CoarseVector Ac(Coarse5d);
for (int k = 0; k < nbasis; k++) {
Aggregates.ProjectToSubspace(coarse_deflation_vecs[k], chi[k]);
RealD n = norm2(coarse_deflation_vecs[k]);
coarse_deflation_vecs[k] *= 1.0 / std::sqrt(n);
LinOpCoarse.HermOp(coarse_deflation_vecs[k], Ac);
coarse_deflation_evals[k] = real(TensorRemove(innerProduct(coarse_deflation_vecs[k], Ac)));
std::cout << GridLogMessage << "Coarse deflation eval[" << k << "] = "
<< coarse_deflation_evals[k] << std::endl;
}
}
///////////////////////////////////////////////////////////
// Coarse CG solver with deflation guesser
///////////////////////////////////////////////////////////
ConjugateGradient<CoarseVector> coarseCG(5.0e-2, 10000, false);
DeflatedGuesser<CoarseVector> coarseGuess(coarse_deflation_vecs, coarse_deflation_evals);
HPDSolver<CoarseVector> CoarseSolve(LinOpCoarse, coarseCG, coarseGuess);
///////////////////////////////////////////////////////////
// Fine-grid smoother: fixed-iteration CG on (M†M + lo*I)
// lo=2.0 is the IR-shift high-pass parameter from mrhs-HDCG.
///////////////////////////////////////////////////////////
RealD lo = 2.0;
int smootherIters = 8;
ShiftedHermOpLinearOperator<LatticeFermionD> ShiftedOp(HermFineOp, lo);
CGSmoother<LatticeFermionD> Smoother(smootherIters, ShiftedOp);
///////////////////////////////////////////////////////////
// Two-level V-cycle multigrid preconditioner
///////////////////////////////////////////////////////////
MGPreconditioner<vSpinColourVector, vTComplex, nbasis>
TwoLevelPrecon(Aggregates, HermFineOp, Smoother, Smoother, LinOpCoarse, CoarseSolve);
///////////////////////////////////////////////////////////
// Outer solver: preconditioned GCR on M†M
///////////////////////////////////////////////////////////
LatticeFermionD src(FGrid); random(RNG5, src);
LatticeFermionD result(FGrid); result = Zero();
PrecGeneralisedConjugateResidual<LatticeFermionD>
PGCR(1.0e-8, 10000, HermFineOp, TwoLevelPrecon, 16, 16);
double t = -usecond();
PGCR(src, result);
t += usecond();
std::cout << GridLogMessage << "Total solve time: " << t/1e6 << " s" << std::endl;
Grid_finalize();
return 0;
}