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bae0f8ea99
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@ -54,6 +54,7 @@ NAMESPACE_CHECK(BiCGSTAB);
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#include <Grid/algorithms/iterative/SchurRedBlack.h>
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#include <Grid/algorithms/iterative/ConjugateGradientMultiShift.h>
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#include <Grid/algorithms/iterative/ConjugateGradientMixedPrec.h>
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#include <Grid/algorithms/iterative/ConjugateGradientMixedPrecBatched.h>
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#include <Grid/algorithms/iterative/BiCGSTABMixedPrec.h>
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#include <Grid/algorithms/iterative/BlockConjugateGradient.h>
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#include <Grid/algorithms/iterative/ConjugateGradientReliableUpdate.h>
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|
213
Grid/algorithms/iterative/ConjugateGradientMixedPrecBatched.h
Normal file
213
Grid/algorithms/iterative/ConjugateGradientMixedPrecBatched.h
Normal file
@ -0,0 +1,213 @@
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/*************************************************************************************
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Grid physics library, www.github.com/paboyle/Grid
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Source file: ./lib/algorithms/iterative/ConjugateGradientMixedPrecBatched.h
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Copyright (C) 2015
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Author: Raoul Hodgson <raoul.hodgson@ed.ac.uk>
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 2 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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||||
GNU General Public License for more details.
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||||
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||||
You should have received a copy of the GNU General Public License along
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with this program; if not, write to the Free Software Foundation, Inc.,
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51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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See the full license in the file "LICENSE" in the top level distribution directory
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*************************************************************************************/
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/* END LEGAL */
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#ifndef GRID_CONJUGATE_GRADIENT_MIXED_PREC_BATCHED_H
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#define GRID_CONJUGATE_GRADIENT_MIXED_PREC_BATCHED_H
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NAMESPACE_BEGIN(Grid);
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//Mixed precision restarted defect correction CG
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template<class FieldD,class FieldF,
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typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,
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typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
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class MixedPrecisionConjugateGradientBatched : public LinearFunction<FieldD> {
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public:
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using LinearFunction<FieldD>::operator();
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RealD Tolerance;
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RealD InnerTolerance; //Initial tolerance for inner CG. Defaults to Tolerance but can be changed
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Integer MaxInnerIterations;
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Integer MaxOuterIterations;
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Integer MaxPatchupIterations;
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GridBase* SinglePrecGrid; //Grid for single-precision fields
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RealD OuterLoopNormMult; //Stop the outer loop and move to a final double prec solve when the residual is OuterLoopNormMult * Tolerance
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LinearOperatorBase<FieldF> &Linop_f;
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LinearOperatorBase<FieldD> &Linop_d;
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//Option to speed up *inner single precision* solves using a LinearFunction that produces a guess
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LinearFunction<FieldF> *guesser;
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bool updateResidual;
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MixedPrecisionConjugateGradientBatched(RealD tol,
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Integer maxinnerit,
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Integer maxouterit,
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Integer maxpatchit,
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GridBase* _sp_grid,
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LinearOperatorBase<FieldF> &_Linop_f,
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LinearOperatorBase<FieldD> &_Linop_d,
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bool _updateResidual=true) :
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Linop_f(_Linop_f), Linop_d(_Linop_d),
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Tolerance(tol), InnerTolerance(tol), MaxInnerIterations(maxinnerit), MaxOuterIterations(maxouterit), MaxPatchupIterations(maxpatchit), SinglePrecGrid(_sp_grid),
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OuterLoopNormMult(100.), guesser(NULL), updateResidual(_updateResidual) { };
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void useGuesser(LinearFunction<FieldF> &g){
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guesser = &g;
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}
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void operator() (const FieldD &src_d_in, FieldD &sol_d){
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std::vector<FieldD> srcs_d_in{src_d_in};
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std::vector<FieldD> sols_d{sol_d};
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(*this)(srcs_d_in,sols_d);
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sol_d = sols_d[0];
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}
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void operator() (const std::vector<FieldD> &src_d_in, std::vector<FieldD> &sol_d){
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assert(src_d_in.size() == sol_d.size());
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int NBatch = src_d_in.size();
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std::cout << GridLogMessage << "NBatch = " << NBatch << std::endl;
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Integer TotalOuterIterations = 0; //Number of restarts
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std::vector<Integer> TotalInnerIterations(NBatch,0); //Number of inner CG iterations
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std::vector<Integer> TotalFinalStepIterations(NBatch,0); //Number of CG iterations in final patch-up step
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GridStopWatch TotalTimer;
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TotalTimer.Start();
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GridStopWatch InnerCGtimer;
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GridStopWatch PrecChangeTimer;
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int cb = src_d_in[0].Checkerboard();
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std::vector<RealD> src_norm;
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std::vector<RealD> norm;
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std::vector<RealD> stop;
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GridBase* DoublePrecGrid = src_d_in[0].Grid();
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FieldD tmp_d(DoublePrecGrid);
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tmp_d.Checkerboard() = cb;
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FieldD tmp2_d(DoublePrecGrid);
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tmp2_d.Checkerboard() = cb;
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std::vector<FieldD> src_d;
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std::vector<FieldF> src_f;
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std::vector<FieldF> sol_f;
|
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for (int i=0; i<NBatch; i++) {
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sol_d[i].Checkerboard() = cb;
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src_norm.push_back(norm2(src_d_in[i]));
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norm.push_back(0.);
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stop.push_back(src_norm[i] * Tolerance*Tolerance);
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src_d.push_back(src_d_in[i]); //source for next inner iteration, computed from residual during operation
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src_f.push_back(SinglePrecGrid);
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src_f[i].Checkerboard() = cb;
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sol_f.push_back(SinglePrecGrid);
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sol_f[i].Checkerboard() = cb;
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}
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RealD inner_tol = InnerTolerance;
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ConjugateGradient<FieldF> CG_f(inner_tol, MaxInnerIterations);
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CG_f.ErrorOnNoConverge = false;
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Integer &outer_iter = TotalOuterIterations; //so it will be equal to the final iteration count
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||||
|
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for(outer_iter = 0; outer_iter < MaxOuterIterations; outer_iter++){
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std::cout << GridLogMessage << std::endl;
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std::cout << GridLogMessage << "Outer iteration " << outer_iter << std::endl;
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||||
|
||||
bool allConverged = true;
|
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|
||||
for (int i=0; i<NBatch; i++) {
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//Compute double precision rsd and also new RHS vector.
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Linop_d.HermOp(sol_d[i], tmp_d);
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norm[i] = axpy_norm(src_d[i], -1., tmp_d, src_d_in[i]); //src_d is residual vector
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std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: Outer iteration " << outer_iter <<" solve " << i << " residual "<< norm[i] << " target "<< stop[i] <<std::endl;
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PrecChangeTimer.Start();
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precisionChange(src_f[i], src_d[i]);
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PrecChangeTimer.Stop();
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sol_f[i] = Zero();
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if(norm[i] > OuterLoopNormMult * stop[i]) {
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allConverged = false;
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}
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}
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if (allConverged) break;
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if (updateResidual) {
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RealD normMax = *std::max_element(std::begin(norm), std::end(norm));
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RealD stopMax = *std::max_element(std::begin(stop), std::end(stop));
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while( normMax * inner_tol * inner_tol < stopMax) inner_tol *= 2; // inner_tol = sqrt(stop/norm) ??
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CG_f.Tolerance = inner_tol;
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}
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//Optionally improve inner solver guess (eg using known eigenvectors)
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if(guesser != NULL) {
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(*guesser)(src_f, sol_f);
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}
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for (int i=0; i<NBatch; i++) {
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//Inner CG
|
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InnerCGtimer.Start();
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CG_f(Linop_f, src_f[i], sol_f[i]);
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InnerCGtimer.Stop();
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TotalInnerIterations[i] += CG_f.IterationsToComplete;
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//Convert sol back to double and add to double prec solution
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PrecChangeTimer.Start();
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precisionChange(tmp_d, sol_f[i]);
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PrecChangeTimer.Stop();
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axpy(sol_d[i], 1.0, tmp_d, sol_d[i]);
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}
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}
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//Final trial CG
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std::cout << GridLogMessage << std::endl;
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std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: Starting final patch-up double-precision solve"<<std::endl;
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for (int i=0; i<NBatch; i++) {
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ConjugateGradient<FieldD> CG_d(Tolerance, MaxPatchupIterations);
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CG_d(Linop_d, src_d_in[i], sol_d[i]);
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TotalFinalStepIterations[i] += CG_d.IterationsToComplete;
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}
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|
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TotalTimer.Stop();
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std::cout << GridLogMessage << std::endl;
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for (int i=0; i<NBatch; i++) {
|
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std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: solve " << i << " Inner CG iterations " << TotalInnerIterations[i] << " Restarts " << TotalOuterIterations << " Final CG iterations " << TotalFinalStepIterations[i] << std::endl;
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}
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std::cout << GridLogMessage << std::endl;
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std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: Total time " << TotalTimer.Elapsed() << " Precision change " << PrecChangeTimer.Elapsed() << " Inner CG total " << InnerCGtimer.Elapsed() << std::endl;
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||||
|
||||
}
|
||||
};
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NAMESPACE_END(Grid);
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#endif
|
@ -4,11 +4,14 @@ NAMESPACE_BEGIN(Grid);
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|
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/*Allocation types, saying which pointer cache should be used*/
|
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#define Cpu (0)
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#define CpuSmall (1)
|
||||
#define Acc (2)
|
||||
#define AccSmall (3)
|
||||
#define Shared (4)
|
||||
#define SharedSmall (5)
|
||||
#define CpuHuge (1)
|
||||
#define CpuSmall (2)
|
||||
#define Acc (3)
|
||||
#define AccHuge (4)
|
||||
#define AccSmall (5)
|
||||
#define Shared (6)
|
||||
#define SharedHuge (7)
|
||||
#define SharedSmall (8)
|
||||
#undef GRID_MM_VERBOSE
|
||||
uint64_t total_shared;
|
||||
uint64_t total_device;
|
||||
@ -35,12 +38,14 @@ void MemoryManager::PrintBytes(void)
|
||||
|
||||
}
|
||||
|
||||
uint64_t MemoryManager::DeviceCacheBytes() { return CacheBytes[Acc] + CacheBytes[AccHuge] + CacheBytes[AccSmall]; }
|
||||
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// Data tables for recently freed pooiniter caches
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
MemoryManager::AllocationCacheEntry MemoryManager::Entries[MemoryManager::NallocType][MemoryManager::NallocCacheMax];
|
||||
int MemoryManager::Victim[MemoryManager::NallocType];
|
||||
int MemoryManager::Ncache[MemoryManager::NallocType] = { 2, 8, 8, 16, 8, 16 };
|
||||
int MemoryManager::Ncache[MemoryManager::NallocType] = { 2, 0, 8, 8, 0, 16, 8, 0, 16 };
|
||||
uint64_t MemoryManager::CacheBytes[MemoryManager::NallocType];
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// Actual allocation and deallocation utils
|
||||
@ -170,6 +175,16 @@ void MemoryManager::Init(void)
|
||||
}
|
||||
}
|
||||
|
||||
str= getenv("GRID_ALLOC_NCACHE_HUGE");
|
||||
if ( str ) {
|
||||
Nc = atoi(str);
|
||||
if ( (Nc>=0) && (Nc < NallocCacheMax)) {
|
||||
Ncache[CpuHuge]=Nc;
|
||||
Ncache[AccHuge]=Nc;
|
||||
Ncache[SharedHuge]=Nc;
|
||||
}
|
||||
}
|
||||
|
||||
str= getenv("GRID_ALLOC_NCACHE_SMALL");
|
||||
if ( str ) {
|
||||
Nc = atoi(str);
|
||||
@ -190,7 +205,9 @@ void MemoryManager::InitMessage(void) {
|
||||
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() setting up"<<std::endl;
|
||||
#ifdef ALLOCATION_CACHE
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() cache pool for recent allocations: SMALL "<<Ncache[CpuSmall]<<" LARGE "<<Ncache[Cpu]<<std::endl;
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() cache pool for recent host allocations: SMALL "<<Ncache[CpuSmall]<<" LARGE "<<Ncache[Cpu]<<" HUGE "<<Ncache[CpuHuge]<<std::endl;
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() cache pool for recent device allocations: SMALL "<<Ncache[AccSmall]<<" LARGE "<<Ncache[Acc]<<" Huge "<<Ncache[AccHuge]<<std::endl;
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() cache pool for recent shared allocations: SMALL "<<Ncache[SharedSmall]<<" LARGE "<<Ncache[Shared]<<" Huge "<<Ncache[SharedHuge]<<std::endl;
|
||||
#endif
|
||||
|
||||
#ifdef GRID_UVM
|
||||
@ -222,8 +239,11 @@ void MemoryManager::InitMessage(void) {
|
||||
void *MemoryManager::Insert(void *ptr,size_t bytes,int type)
|
||||
{
|
||||
#ifdef ALLOCATION_CACHE
|
||||
bool small = (bytes < GRID_ALLOC_SMALL_LIMIT);
|
||||
int cache = type + small;
|
||||
int cache;
|
||||
if (bytes < GRID_ALLOC_SMALL_LIMIT) cache = type + 2;
|
||||
else if (bytes >= GRID_ALLOC_HUGE_LIMIT) cache = type + 1;
|
||||
else cache = type;
|
||||
|
||||
return Insert(ptr,bytes,Entries[cache],Ncache[cache],Victim[cache],CacheBytes[cache]);
|
||||
#else
|
||||
return ptr;
|
||||
@ -232,11 +252,12 @@ void *MemoryManager::Insert(void *ptr,size_t bytes,int type)
|
||||
|
||||
void *MemoryManager::Insert(void *ptr,size_t bytes,AllocationCacheEntry *entries,int ncache,int &victim, uint64_t &cacheBytes)
|
||||
{
|
||||
assert(ncache>0);
|
||||
#ifdef GRID_OMP
|
||||
assert(omp_in_parallel()==0);
|
||||
#endif
|
||||
|
||||
if (ncache == 0) return ptr;
|
||||
|
||||
void * ret = NULL;
|
||||
int v = -1;
|
||||
|
||||
@ -271,8 +292,11 @@ void *MemoryManager::Insert(void *ptr,size_t bytes,AllocationCacheEntry *entries
|
||||
void *MemoryManager::Lookup(size_t bytes,int type)
|
||||
{
|
||||
#ifdef ALLOCATION_CACHE
|
||||
bool small = (bytes < GRID_ALLOC_SMALL_LIMIT);
|
||||
int cache = type+small;
|
||||
int cache;
|
||||
if (bytes < GRID_ALLOC_SMALL_LIMIT) cache = type + 2;
|
||||
else if (bytes >= GRID_ALLOC_HUGE_LIMIT) cache = type + 1;
|
||||
else cache = type;
|
||||
|
||||
return Lookup(bytes,Entries[cache],Ncache[cache],CacheBytes[cache]);
|
||||
#else
|
||||
return NULL;
|
||||
@ -281,7 +305,6 @@ void *MemoryManager::Lookup(size_t bytes,int type)
|
||||
|
||||
void *MemoryManager::Lookup(size_t bytes,AllocationCacheEntry *entries,int ncache,uint64_t & cacheBytes)
|
||||
{
|
||||
assert(ncache>0);
|
||||
#ifdef GRID_OMP
|
||||
assert(omp_in_parallel()==0);
|
||||
#endif
|
||||
|
@ -35,6 +35,7 @@ NAMESPACE_BEGIN(Grid);
|
||||
// Move control to configure.ac and Config.h?
|
||||
|
||||
#define GRID_ALLOC_SMALL_LIMIT (4096)
|
||||
#define GRID_ALLOC_HUGE_LIMIT (2147483648)
|
||||
|
||||
#define STRINGIFY(x) #x
|
||||
#define TOSTRING(x) STRINGIFY(x)
|
||||
@ -83,7 +84,7 @@ private:
|
||||
} AllocationCacheEntry;
|
||||
|
||||
static const int NallocCacheMax=128;
|
||||
static const int NallocType=6;
|
||||
static const int NallocType=9;
|
||||
static AllocationCacheEntry Entries[NallocType][NallocCacheMax];
|
||||
static int Victim[NallocType];
|
||||
static int Ncache[NallocType];
|
||||
@ -121,7 +122,9 @@ private:
|
||||
static uint64_t DeviceToHostXfer;
|
||||
static uint64_t DeviceEvictions;
|
||||
static uint64_t DeviceDestroy;
|
||||
|
||||
|
||||
static uint64_t DeviceCacheBytes();
|
||||
|
||||
private:
|
||||
#ifndef GRID_UVM
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
|
@ -129,7 +129,7 @@ public:
|
||||
|
||||
auto exprCopy = expr;
|
||||
ExpressionViewOpen(exprCopy);
|
||||
auto me = View(AcceleratorWrite);
|
||||
auto me = View(AcceleratorWriteDiscard);
|
||||
accelerator_for(ss,me.size(),vobj::Nsimd(),{
|
||||
auto tmp = eval(ss,exprCopy);
|
||||
coalescedWrite(me[ss],tmp);
|
||||
@ -152,7 +152,7 @@ public:
|
||||
|
||||
auto exprCopy = expr;
|
||||
ExpressionViewOpen(exprCopy);
|
||||
auto me = View(AcceleratorWrite);
|
||||
auto me = View(AcceleratorWriteDiscard);
|
||||
accelerator_for(ss,me.size(),vobj::Nsimd(),{
|
||||
auto tmp = eval(ss,exprCopy);
|
||||
coalescedWrite(me[ss],tmp);
|
||||
@ -174,7 +174,7 @@ public:
|
||||
this->checkerboard=cb;
|
||||
auto exprCopy = expr;
|
||||
ExpressionViewOpen(exprCopy);
|
||||
auto me = View(AcceleratorWrite);
|
||||
auto me = View(AcceleratorWriteDiscard);
|
||||
accelerator_for(ss,me.size(),vobj::Nsimd(),{
|
||||
auto tmp = eval(ss,exprCopy);
|
||||
coalescedWrite(me[ss],tmp);
|
||||
@ -288,8 +288,8 @@ public:
|
||||
typename std::enable_if<!std::is_same<robj,vobj>::value,int>::type i=0;
|
||||
conformable(*this,r);
|
||||
this->checkerboard = r.Checkerboard();
|
||||
auto me = View(AcceleratorWrite);
|
||||
auto him= r.View(AcceleratorRead);
|
||||
auto me = View(AcceleratorWriteDiscard);
|
||||
accelerator_for(ss,me.size(),vobj::Nsimd(),{
|
||||
coalescedWrite(me[ss],him(ss));
|
||||
});
|
||||
@ -303,8 +303,8 @@ public:
|
||||
inline Lattice<vobj> & operator = (const Lattice<vobj> & r){
|
||||
this->checkerboard = r.Checkerboard();
|
||||
conformable(*this,r);
|
||||
auto me = View(AcceleratorWrite);
|
||||
auto him= r.View(AcceleratorRead);
|
||||
auto me = View(AcceleratorWriteDiscard);
|
||||
accelerator_for(ss,me.size(),vobj::Nsimd(),{
|
||||
coalescedWrite(me[ss],him(ss));
|
||||
});
|
||||
|
@ -288,7 +288,36 @@ inline void blockProject(Lattice<iVector<CComplex,nbasis > > &coarseData,
|
||||
blockZAXPY(fineDataRed,ip,Basis[v],fineDataRed);
|
||||
}
|
||||
}
|
||||
template<class vobj,class CComplex,int nbasis,class VLattice>
|
||||
inline void batchBlockProject(std::vector<Lattice<iVector<CComplex,nbasis>>> &coarseData,
|
||||
const std::vector<Lattice<vobj>> &fineData,
|
||||
const VLattice &Basis)
|
||||
{
|
||||
int NBatch = fineData.size();
|
||||
assert(coarseData.size() == NBatch);
|
||||
|
||||
GridBase * fine = fineData[0].Grid();
|
||||
GridBase * coarse= coarseData[0].Grid();
|
||||
|
||||
Lattice<iScalar<CComplex>> ip(coarse);
|
||||
std::vector<Lattice<vobj>> fineDataCopy = fineData;
|
||||
|
||||
autoView(ip_, ip, AcceleratorWrite);
|
||||
for(int v=0;v<nbasis;v++) {
|
||||
for (int k=0; k<NBatch; k++) {
|
||||
autoView( coarseData_ , coarseData[k], AcceleratorWrite);
|
||||
blockInnerProductD(ip,Basis[v],fineDataCopy[k]); // ip = <basis|fine>
|
||||
accelerator_for( sc, coarse->oSites(), vobj::Nsimd(), {
|
||||
convertType(coarseData_[sc](v),ip_[sc]);
|
||||
});
|
||||
|
||||
// improve numerical stability of projection
|
||||
// |fine> = |fine> - <basis|fine> |basis>
|
||||
ip=-ip;
|
||||
blockZAXPY(fineDataCopy[k],ip,Basis[v],fineDataCopy[k]);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
template<class vobj,class vobj2,class CComplex>
|
||||
inline void blockZAXPY(Lattice<vobj> &fineZ,
|
||||
@ -590,6 +619,26 @@ inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData,
|
||||
}
|
||||
#endif
|
||||
|
||||
template<class vobj,class CComplex,int nbasis,class VLattice>
|
||||
inline void batchBlockPromote(const std::vector<Lattice<iVector<CComplex,nbasis>>> &coarseData,
|
||||
std::vector<Lattice<vobj>> &fineData,
|
||||
const VLattice &Basis)
|
||||
{
|
||||
int NBatch = coarseData.size();
|
||||
assert(fineData.size() == NBatch);
|
||||
|
||||
GridBase * fine = fineData[0].Grid();
|
||||
GridBase * coarse = coarseData[0].Grid();
|
||||
for (int k=0; k<NBatch; k++)
|
||||
fineData[k]=Zero();
|
||||
for (int i=0;i<nbasis;i++) {
|
||||
for (int k=0; k<NBatch; k++) {
|
||||
Lattice<iScalar<CComplex>> ip = PeekIndex<0>(coarseData[k],i);
|
||||
blockZAXPY(fineData[k],ip,Basis[i],fineData[k]);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Useful for precision conversion, or indeed anything where an operator= does a conversion on scalars.
|
||||
// Simd layouts need not match since we use peek/poke Local
|
||||
template<class vobj,class vvobj>
|
||||
|
Reference in New Issue
Block a user