/************************************************************************************* Grid physics library, www.github.com/paboyle/Grid Source file: ./lib/algorithms/iterative/ConjugateGradientMixedPrec.h Copyright (C) 2015 Author: Christopher Kelly 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_CONJUGATE_GRADIENT_MIXED_PREC_H #define GRID_CONJUGATE_GRADIENT_MIXED_PREC_H namespace Grid { //Mixed precision restarted defect correction CG template::value == 2, int>::type = 0,typename std::enable_if< getPrecision::value == 1, int>::type = 0> class MixedPrecisionConjugateGradient : public LinearFunction { public: RealD Tolerance; Integer MaxInnerIterations; Integer MaxOuterIterations; GridBase* SinglePrecGrid; //Grid for single-precision fields RealD OuterLoopNormMult; //Stop the outer loop and move to a final double prec solve when the residual is OuterLoopNormMult * Tolerance LinearOperatorBase &Linop_f; LinearOperatorBase &Linop_d; //Option to speed up *inner single precision* solves using a LinearFunction that produces a guess LinearFunction *guesser; MixedPrecisionConjugateGradient(RealD tol, Integer maxinnerit, Integer maxouterit, GridBase* _sp_grid, LinearOperatorBase &_Linop_f, LinearOperatorBase &_Linop_d) : Linop_f(_Linop_f), Linop_d(_Linop_d), Tolerance(tol), MaxInnerIterations(maxinnerit), MaxOuterIterations(maxouterit), SinglePrecGrid(_sp_grid), OuterLoopNormMult(100.), guesser(NULL){ }; void useGuesser(LinearFunction &g){ guesser = g; } void operator() (const FieldD &src_d_in, FieldD &sol_d){ GridStopWatch TotalTimer; TotalTimer.Start(); int cb = src_d_in.checkerboard; sol_d.checkerboard = cb; RealD src_norm = norm2(src_d_in); RealD stop = src_norm * Tolerance*Tolerance; GridBase* DoublePrecGrid = src_d_in._grid; FieldD tmp_d(DoublePrecGrid); tmp_d.checkerboard = cb; FieldD tmp2_d(DoublePrecGrid); tmp2_d.checkerboard = cb; FieldD src_d(DoublePrecGrid); src_d = src_d_in; //source for next inner iteration, computed from residual during operation RealD inner_tol = Tolerance; FieldF src_f(SinglePrecGrid); src_f.checkerboard = cb; FieldF sol_f(SinglePrecGrid); sol_f.checkerboard = cb; ConjugateGradient CG_f(inner_tol, MaxInnerIterations); CG_f.ErrorOnNoConverge = false; GridStopWatch InnerCGtimer; GridStopWatch PrecChangeTimer; for(Integer outer_iter = 0; outer_iter < MaxOuterIterations; outer_iter++){ //Compute double precision rsd and also new RHS vector. Linop_d.HermOp(sol_d, tmp_d); RealD norm = axpy_norm(src_d, -1., tmp_d, src_d_in); //src_d is residual vector std::cout< CG_d(Tolerance, MaxInnerIterations); CG_d(Linop_d, src_d_in, sol_d); TotalTimer.Stop(); std::cout<