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https://github.com/paboyle/Grid.git
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First cut at higher precision reduction
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@ -38,110 +38,108 @@ namespace Grid {
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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 std::real(nrm);
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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 std::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_typeD 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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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(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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parallel_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(innerProductD(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 + innerProductD(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>
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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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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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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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{
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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(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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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(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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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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@ -214,7 +212,6 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<
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result[t]=gsum;
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}
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}
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