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c6baa3e657
Placed parallel pragmas as macros; implemented deterministic thread reduction in style of BFM.
174 lines
4.5 KiB
C++
174 lines
4.5 KiB
C++
#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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vector_type vnrm;
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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 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<<"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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