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Grid/lib/cartesian/Grid_cartesian_red_black.h
Peter Boyle a5b0c492d7 Rework of RNG to use C++11 random. Should work correctly maintaining parallel RNG across
a machine. If a "fixedSeed" is used, randoms should be reproducible across different machine
decomposition since the generators are physically indexed and assigned in lexico ordering.
2015-04-19 14:55:58 +01:00

125 lines
3.7 KiB
C++

#ifndef GRID_CARTESIAN_RED_BLACK_H
#define GRID_CARTESIAN_RED_BLACK_H
namespace Grid {
// Specialise this for red black grids storing half the data like a chess board.
class GridRedBlackCartesian : public GridBase
{
public:
virtual int CheckerBoarded(int dim){
if( dim==0) return 1;
else return 0;
}
virtual int CheckerBoard(std::vector<int> site){
return (site[0]+site[1]+site[2]+site[3])&0x1;
}
// Depending on the cb of site, we toggle source cb.
// for block #b, element #e = (b, e)
// we need
virtual int CheckerBoardShift(int source_cb,int dim,int shift,int osite){
if(dim != 0) return shift;
int fulldim =_fdimensions[0];
shift = (shift+fulldim)%fulldim;
// Probably faster with table lookup;
// or by looping over x,y,z and multiply rather than computing checkerboard.
int ocb=CheckerBoardFromOindex(osite);
if ( (source_cb+ocb)&1 ) {
return (shift)/2;
} else {
return (shift+1)/2;
}
}
virtual int CheckerBoardDestination(int source_cb,int shift){
if ((shift+_fdimensions[0])&0x1) {
return 1-source_cb;
} else {
return source_cb;
}
};
GridRedBlackCartesian(std::vector<int> &dimensions,
std::vector<int> &simd_layout,
std::vector<int> &processor_grid) : GridBase(processor_grid)
{
///////////////////////
// Grid information
///////////////////////
_ndimension = dimensions.size();
_fdimensions.resize(_ndimension);
_gdimensions.resize(_ndimension);
_ldimensions.resize(_ndimension);
_rdimensions.resize(_ndimension);
_simd_layout.resize(_ndimension);
_ostride.resize(_ndimension);
_istride.resize(_ndimension);
_fsites = _gsites = _osites = _isites = 1;
for(int d=0;d<_ndimension;d++){
_fdimensions[d] = dimensions[d];
_gdimensions[d] = _fdimensions[d];
_fsites = _fsites * _fdimensions[d];
_gsites = _gsites * _gdimensions[d];
if (d==0) _gdimensions[0] = _gdimensions[0]/2; // Remove a checkerboard
_ldimensions[d] = _gdimensions[d]/_processors[d];
// Use a reduced simd grid
_simd_layout[d] = simd_layout[d];
_rdimensions[d]= _ldimensions[d]/_simd_layout[d];
_osites *= _rdimensions[d];
_isites *= _simd_layout[d];
// Addressing support
if ( d==0 ) {
_ostride[d] = 1;
_istride[d] = 1;
} else {
_ostride[d] = _ostride[d-1]*_rdimensions[d-1];
_istride[d] = _istride[d-1]*_simd_layout[d-1];
}
}
////////////////////////////////////////////////////////////////////////////////////////////
// subplane information
////////////////////////////////////////////////////////////////////////////////////////////
_slice_block.resize(_ndimension);
_slice_stride.resize(_ndimension);
_slice_nblock.resize(_ndimension);
int block =1;
int nblock=1;
for(int d=0;d<_ndimension;d++) nblock*=_rdimensions[d];
for(int d=0;d<_ndimension;d++){
nblock/=_rdimensions[d];
_slice_block[d] =block;
_slice_stride[d]=_ostride[d]*_rdimensions[d];
_slice_nblock[d]=nblock;
block = block*_rdimensions[d];
}
};
protected:
virtual int oIndex(std::vector<int> &coor)
{
int idx=_ostride[0]*((coor[0]/2)%_rdimensions[0]);
for(int d=1;d<_ndimension;d++) idx+=_ostride[d]*(coor[d]%_rdimensions[d]);
return idx;
};
};
}
#endif