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226 lines
6.6 KiB
C++
226 lines
6.6 KiB
C++
/*************************************************************************************
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Grid physics library, www.github.com/paboyle/Grid
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Source file: ./lib/lattice/Lattice_reduction.h
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Copyright (C) 2015
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Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
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Author: Peter Boyle <paboyle@ph.ed.ac.uk>
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Author: paboyle <paboyle@ph.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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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_LATTICE_REDUCTION_H
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#define GRID_LATTICE_REDUCTION_H
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namespace Grid {
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#ifdef GRID_WARN_SUBOPTIMAL
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#warning "Optimisation alert all these reduction loops are NOT threaded "
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#endif
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////////////////////////////////////////////////////////////////////////////////////////////////////
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// Deterministic Reduction operations
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////////////////////////////////////////////////////////////////////////////////////////////////////
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template<class vobj> inline RealD norm2(const Lattice<vobj> &arg){
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ComplexD nrm = innerProduct(arg,arg);
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return real(nrm);
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}
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template<class vobj>
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inline ComplexD innerProduct(const Lattice<vobj> &left,const Lattice<vobj> &right)
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{
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typedef typename vobj::scalar_type scalar_type;
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typedef typename vobj::vector_type vector_type;
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scalar_type nrm;
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GridBase *grid = left._grid;
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std::vector<vector_type,alignedAllocator<vector_type> > sumarray(grid->SumArraySize());
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for(int i=0;i<grid->SumArraySize();i++){
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sumarray[i]=zero;
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}
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PARALLEL_FOR_LOOP
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for(int thr=0;thr<grid->SumArraySize();thr++){
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int nwork, mywork, myoff;
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GridThread::GetWork(left._grid->oSites(),thr,mywork,myoff);
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decltype(innerProduct(left._odata[0],right._odata[0])) vnrm=zero; // private to thread; sub summation
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for(int ss=myoff;ss<mywork+myoff; ss++){
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vnrm = vnrm + innerProduct(left._odata[ss],right._odata[ss]);
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}
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sumarray[thr]=TensorRemove(vnrm) ;
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}
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vector_type vvnrm; vvnrm=zero; // sum across threads
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for(int i=0;i<grid->SumArraySize();i++){
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vvnrm = vvnrm+sumarray[i];
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}
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nrm = Reduce(vvnrm);// sum across simd
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right._grid->GlobalSum(nrm);
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return nrm;
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}
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template<class Op,class T1>
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inline auto sum(const LatticeUnaryExpression<Op,T1> & expr)
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->typename decltype(expr.first.func(eval(0,std::get<0>(expr.second))))::scalar_object
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{
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return sum(closure(expr));
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}
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template<class Op,class T1,class T2>
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inline auto sum(const LatticeBinaryExpression<Op,T1,T2> & expr)
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->typename decltype(expr.first.func(eval(0,std::get<0>(expr.second)),eval(0,std::get<1>(expr.second))))::scalar_object
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{
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return sum(closure(expr));
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}
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template<class Op,class T1,class T2,class T3>
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inline auto sum(const LatticeTrinaryExpression<Op,T1,T2,T3> & expr)
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->typename decltype(expr.first.func(eval(0,std::get<0>(expr.second)),
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eval(0,std::get<1>(expr.second)),
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eval(0,std::get<2>(expr.second))
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))::scalar_object
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{
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return sum(closure(expr));
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}
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template<class vobj>
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inline typename vobj::scalar_object sum(const Lattice<vobj> &arg){
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GridBase *grid=arg._grid;
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int Nsimd = grid->Nsimd();
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std::vector<vobj,alignedAllocator<vobj> > sumarray(grid->SumArraySize());
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for(int i=0;i<grid->SumArraySize();i++){
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sumarray[i]=zero;
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}
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PARALLEL_FOR_LOOP
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for(int thr=0;thr<grid->SumArraySize();thr++){
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int nwork, mywork, myoff;
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GridThread::GetWork(grid->oSites(),thr,mywork,myoff);
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vobj vvsum=zero;
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for(int ss=myoff;ss<mywork+myoff; ss++){
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vvsum = vvsum + arg._odata[ss];
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}
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sumarray[thr]=vvsum;
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}
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vobj vsum=zero; // sum across threads
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for(int i=0;i<grid->SumArraySize();i++){
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vsum = vsum+sumarray[i];
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}
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typedef typename vobj::scalar_object sobj;
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sobj ssum=zero;
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std::vector<sobj> buf(Nsimd);
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extract(vsum,buf);
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for(int i=0;i<Nsimd;i++) ssum = ssum + buf[i];
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arg._grid->GlobalSum(ssum);
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return ssum;
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}
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template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<typename vobj::scalar_object> &result,int orthogdim)
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{
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typedef typename vobj::scalar_object sobj;
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GridBase *grid = Data._grid;
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assert(grid!=NULL);
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// FIXME
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std::cout<<GridLogMessage<<"WARNING ! SliceSum is unthreaded "<<grid->SumArraySize()<<" threads "<<std::endl;
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const int Nd = grid->_ndimension;
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const int Nsimd = grid->Nsimd();
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assert(orthogdim >= 0);
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assert(orthogdim < Nd);
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int fd=grid->_fdimensions[orthogdim];
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int ld=grid->_ldimensions[orthogdim];
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int rd=grid->_rdimensions[orthogdim];
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std::vector<vobj,alignedAllocator<vobj> > lvSum(rd); // will locally sum vectors first
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std::vector<sobj> lsSum(ld,zero); // sum across these down to scalars
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std::vector<sobj> extracted(Nsimd); // splitting the SIMD
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result.resize(fd); // And then global sum to return the same vector to every node for IO to file
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for(int r=0;r<rd;r++){
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lvSum[r]=zero;
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}
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std::vector<int> coor(Nd);
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// sum over reduced dimension planes, breaking out orthog dir
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for(int ss=0;ss<grid->oSites();ss++){
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GridBase::CoorFromIndex(coor,ss,grid->_rdimensions);
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int r = coor[orthogdim];
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lvSum[r]=lvSum[r]+Data._odata[ss];
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}
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// Sum across simd lanes in the plane, breaking out orthog dir.
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std::vector<int> icoor(Nd);
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for(int rt=0;rt<rd;rt++){
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extract(lvSum[rt],extracted);
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for(int idx=0;idx<Nsimd;idx++){
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grid->iCoorFromIindex(icoor,idx);
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int ldx =rt+icoor[orthogdim]*rd;
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lsSum[ldx]=lsSum[ldx]+extracted[idx];
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}
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}
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// sum over nodes.
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sobj gsum;
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for(int t=0;t<fd;t++){
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int pt = t/ld; // processor plane
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int lt = t%ld;
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if ( pt == grid->_processor_coor[orthogdim] ) {
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gsum=lsSum[lt];
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} else {
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gsum=zero;
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}
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grid->GlobalSum(gsum);
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result[t]=gsum;
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}
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}
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}
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#endif
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