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Hadrons: integration of Peter's A2Autils

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This commit is contained in:
Antonin Portelli
2018-10-05 16:42:44 +01:00
parent d69a52079f
commit 866449c804
5 changed files with 20 additions and 428 deletions
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411
Hadrons/Modules/MContraction/A2AKernels.hpp
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@@ -1,411 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: Hadrons/Modules/MContraction/A2AMesonFieldKernels.hpp
Copyright (C) 2015-2018
Author: Antonin Portelli <antonin.portelli@me.com>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#ifndef Hadrons_MContraction_A2AMesonFieldKernels_hpp_
#define Hadrons_MContraction_A2AMesonFieldKernels_hpp_
#include <Hadrons/Global.hpp>
#include <Hadrons/Module.hpp>
BEGIN_HADRONS_NAMESPACE
BEGIN_MODULE_NAMESPACE(MContraction)
////////////////////////////////////////////////////////////////////////////////
// Cache blocked arithmetic routine
// Could move to Grid ???
////////////////////////////////////////////////////////////////////////////////
template <typename Field, typename MesonField>
void makeMesonFieldBlock(MesonField &mat,
const Field *lhs_wi,
const Field *rhs_vj,
const std::vector<Gamma::Algebra> &gamma,
const std::vector<LatticeComplex> &mom,
int orthogdim,
double &time)
{
typedef typename Field::vector_object vobj;
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
typedef iSpinMatrix<vector_type> SpinMatrix_v;
typedef iSpinMatrix<scalar_type> SpinMatrix_s;
TimerArray tArray;
int Lblock = mat.dimension(3);
int Rblock = mat.dimension(4);
GridBase *grid = lhs_wi[0]._grid;
const int Nd = grid->_ndimension;
const int Nsimd = grid->Nsimd();
int Nt = grid->GlobalDimensions()[orthogdim];
int Ngamma = gamma.size();
int Nmom = mom.size();
int fd=grid->_fdimensions[orthogdim];
int ld=grid->_ldimensions[orthogdim];
int rd=grid->_rdimensions[orthogdim];
// will locally sum vectors first
// sum across these down to scalars
// splitting the SIMD
int MFrvol = rd*Lblock*Rblock*Nmom;
int MFlvol = ld*Lblock*Rblock*Nmom;
Vector<SpinMatrix_v > lvSum(MFrvol);
parallel_for (int r = 0; r < MFrvol; r++)
{
lvSum[r] = zero;
}
Vector<SpinMatrix_s > lsSum(MFlvol);
parallel_for (int r = 0; r < MFlvol; r++)
{
lsSum[r]=scalar_type(0.0);
}
int e1= grid->_slice_nblock[orthogdim];
int e2= grid->_slice_block [orthogdim];
int stride=grid->_slice_stride[orthogdim];
tArray.startTimer("contraction: colour trace & mom.");
// Nested parallelism would be ok
// Wasting cores here. Test case r
parallel_for(int r=0;r<rd;r++)
{
int so=r*grid->_ostride[orthogdim]; // base offset for start of plane
for(int n=0;n<e1;n++)
for(int b=0;b<e2;b++)
{
int ss= so+n*stride+b;
for(int i=0;i<Lblock;i++)
{
auto left = conjugate(lhs_wi[i]._odata[ss]);
for(int j=0;j<Rblock;j++)
{
SpinMatrix_v vv;
auto right = rhs_vj[j]._odata[ss];
for(int s1=0;s1<Ns;s1++)
for(int s2=0;s2<Ns;s2++)
{
vv()(s1,s2)() = left()(s2)(0) * right()(s1)(0)
+ left()(s2)(1) * right()(s1)(1)
+ left()(s2)(2) * right()(s1)(2);
}
// After getting the sitewise product do the mom phase loop
int base = Nmom*i+Nmom*Lblock*j+Nmom*Lblock*Rblock*r;
for ( int m=0;m<Nmom;m++)
{
int idx = m+base;
auto phase = mom[m]._odata[ss];
mac(&lvSum[idx],&vv,&phase);
}
}
}
}
}
tArray.stopTimer("contraction: colour trace & mom.");
// Sum across simd lanes in the plane, breaking out orthog dir.
tArray.startTimer("contraction: local space sum");
parallel_for(int rt=0;rt<rd;rt++)
{
std::vector<int> icoor(Nd);
std::vector<SpinMatrix_s> extracted(Nsimd);
for(int i=0;i<Lblock;i++)
for(int j=0;j<Rblock;j++)
for(int m=0;m<Nmom;m++)
{
int ij_rdx = m+Nmom*i+Nmom*Lblock*j+Nmom*Lblock*Rblock*rt;
extract(lvSum[ij_rdx],extracted);
for(int idx=0;idx<Nsimd;idx++)
{
grid->iCoorFromIindex(icoor,idx);
int ldx = rt+icoor[orthogdim]*rd;
int ij_ldx = m+Nmom*i+Nmom*Lblock*j+Nmom*Lblock*Rblock*ldx;
lsSum[ij_ldx]=lsSum[ij_ldx]+extracted[idx];
}
}
}
tArray.stopTimer("contraction: local space sum");
time = tArray.getDTimer("contraction: colour trace & mom.")
+ tArray.getDTimer("contraction: local space sum");
// ld loop and local only??
tArray.startTimer("contraction: spin trace");
int pd = grid->_processors[orthogdim];
int pc = grid->_processor_coor[orthogdim];
parallel_for_nest2(int lt=0;lt<ld;lt++)
{
for(int pt=0;pt<pd;pt++)
{
int t = lt + pt*ld;
if (pt == pc)
{
for(int i=0;i<Lblock;i++)
for(int j=0;j<Rblock;j++)
for(int m=0;m<Nmom;m++)
{
int ij_dx = m+Nmom*i + Nmom*Lblock * j + Nmom*Lblock * Rblock * lt;
for(int mu=0;mu<Ngamma;mu++)
{
// this is a bit slow
mat(m,mu,t,i,j) = trace(lsSum[ij_dx]*Gamma(gamma[mu]));
}
}
}
else
{
const scalar_type zz(0.0);
for(int i=0;i<Lblock;i++)
for(int j=0;j<Rblock;j++)
for(int mu=0;mu<Ngamma;mu++)
for(int m=0;m<Nmom;m++)
{
mat(m,mu,t,i,j) =zz;
}
}
}
}
tArray.stopTimer("contraction: spin trace");
////////////////////////////////////////////////////////////////////
// This global sum is taking as much as 50% of time on 16 nodes
// Vector size is 7 x 16 x 32 x 16 x 16 x sizeof(complex) = 2MB - 60MB depending on volume
// Healthy size that should suffice
////////////////////////////////////////////////////////////////////
tArray.startTimer("contraction: global sum");
grid->GlobalSumVector(&mat(0,0,0,0,0),Nmom*Ngamma*Nt*Lblock*Rblock);
tArray.stopTimer("contraction: global sum");
}
template <typename Field, typename AslashField>
void makeAslashFieldBlock(AslashField &mat,
const Field *lhs_wi,
const Field *rhs_vj,
const std::vector<LatticeComplex> &emB0,
const std::vector<LatticeComplex> &emB1,
int orthogdim,
ModuleBase *caller = nullptr)
{
typedef typename Field::vector_object vobj;
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
typedef iSpinMatrix<vector_type> SpinMatrix_v;
typedef iSpinMatrix<scalar_type> SpinMatrix_s;
int Lblock = mat.dimension(2);
int Rblock = mat.dimension(3);
GridBase *grid = lhs_wi[0]._grid;
const int Nd = grid->_ndimension;
const int Nsimd = grid->Nsimd();
int Nt = grid->GlobalDimensions()[orthogdim];
int Nem = emB0.size();
assert(emB1.size() == Nem);
int fd=grid->_fdimensions[orthogdim];
int ld=grid->_ldimensions[orthogdim];
int rd=grid->_rdimensions[orthogdim];
// will locally sum vectors first
// sum across these down to scalars
// splitting the SIMD
int MFrvol = rd*Lblock*Rblock*Nem;
int MFlvol = ld*Lblock*Rblock*Nem;
Vector<vector_type> lvSum(MFrvol);
parallel_for (int r = 0; r < MFrvol; r++)
{
lvSum[r] = zero;
}
Vector<scalar_type> lsSum(MFlvol);
parallel_for (int r = 0; r < MFlvol; r++)
{
lsSum[r] = scalar_type(0.0);
}
int e1= grid->_slice_nblock[orthogdim];
int e2= grid->_slice_block [orthogdim];
int stride=grid->_slice_stride[orthogdim];
if (caller) caller->startTimer("contraction: colour trace & Aslash mul");
// Nested parallelism would be ok
// Wasting cores here. Test case r
parallel_for(int r=0;r<rd;r++)
{
int so=r*grid->_ostride[orthogdim]; // base offset for start of plane
for(int n=0;n<e1;n++)
for(int b=0;b<e2;b++)
{
int ss= so+n*stride+b;
for(int i=0;i<Lblock;i++)
{
auto left = conjugate(lhs_wi[i]._odata[ss]);
for(int j=0;j<Rblock;j++)
{
SpinMatrix_v vv;
auto right = rhs_vj[j]._odata[ss];
for(int s1=0;s1<Ns;s1++)
for(int s2=0;s2<Ns;s2++)
{
vv()(s1,s2)() = left()(s2)(0) * right()(s1)(0)
+ left()(s2)(1) * right()(s1)(1)
+ left()(s2)(2) * right()(s1)(2);
}
// After getting the sitewise product do the mom phase loop
int base = Nem*i+Nem*Lblock*j+Nem*Lblock*Rblock*r;
for ( int m=0;m<Nem;m++)
{
int idx = m+base;
auto b0 = emB0[m]._odata[ss];
auto b1 = emB1[m]._odata[ss];
auto cb0 = conjugate(b0);
auto cb1 = conjugate(b1);
// B_0 = A_1 + i A_0
// B_1 = A_3 + i A_2
//
// then in spin space
//
// ( 0 0 B_1 -conj(B_0) )
// A_mu g_mu = ( 0 0 B_0 conj(B_1) )
// ( conj(B_1) conj(B_0) 0 0 )
// ( -B_0 B_1 0 0 )
lvSum[idx] += vv()(0,2)()*b1 - vv()(0,3)()*cb0
+ vv()(1,2)()*b0 + vv()(1,3)()*cb1
+ vv()(2,0)()*cb1 + vv()(2,1)()*cb0
- vv()(3,0)()*b0 + vv()(3,1)()*b1;
}
}
}
}
}
if (caller) caller->stopTimer("contraction: colour trace & Aslash mul");
// Sum across simd lanes in the plane, breaking out orthog dir.
if (caller) caller->startTimer("contraction: local space sum");
parallel_for(int rt=0;rt<rd;rt++)
{
std::vector<int> icoor(Nd);
std::vector<scalar_type> extracted(Nsimd);
for(int i=0;i<Lblock;i++)
for(int j=0;j<Rblock;j++)
for(int m=0;m<Nem;m++)
{
int ij_rdx = m+Nem*i+Nem*Lblock*j+Nem*Lblock*Rblock*rt;
extract(lvSum[ij_rdx],extracted);
for(int idx=0;idx<Nsimd;idx++)
{
grid->iCoorFromIindex(icoor,idx);
int ldx = rt+icoor[orthogdim]*rd;
int ij_ldx = m+Nem*i+Nem*Lblock*j+Nem*Lblock*Rblock*ldx;
lsSum[ij_ldx]=lsSum[ij_ldx]+extracted[idx];
}
}
}
if (caller) caller->stopTimer("contraction: local space sum");
// ld loop and local only??
if (caller) caller->startTimer("contraction: tensor store");
int pd = grid->_processors[orthogdim];
int pc = grid->_processor_coor[orthogdim];
parallel_for_nest2(int lt=0;lt<ld;lt++)
{
for(int pt=0;pt<pd;pt++)
{
int t = lt + pt*ld;
if (pt == pc)
{
for(int i=0;i<Lblock;i++)
for(int j=0;j<Rblock;j++)
for(int m=0;m<Nem;m++)
{
int ij_dx = m+Nem*i + Nem*Lblock * j + Nem*Lblock * Rblock * lt;
mat(m,t,i,j) = lsSum[ij_dx];
}
}
else
{
const scalar_type zz(0.0);
for(int i=0;i<Lblock;i++)
for(int j=0;j<Rblock;j++)
for(int m=0;m<Nem;m++)
{
mat(m,t,i,j) = zz;
}
}
}
}
if (caller) caller->stopTimer("contraction: tensor store");
if (caller) caller->startTimer("contraction: global sum");
grid->GlobalSumVector(&mat(0,0,0,0),Nem*Nt*Lblock*Rblock);
if (caller) caller->stopTimer("contraction: global sum");
}
END_MODULE_NAMESPACE
END_HADRONS_NAMESPACE
#endif //Hadrons_MContraction_A2AMesonField_hpp_

16
Hadrons/Modules/MContraction/A2AMesonField.hpp
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@@ -36,7 +36,6 @@ See the full license in the file "LICENSE" in the top level distribution directo
#include <Hadrons/A2AVectors.hpp>
#include <Hadrons/A2AMatrix.hpp>
#include <Hadrons/Modules/MSolver/A2AVectors.hpp>
#include <Hadrons/Modules/MContraction/A2AKernels.hpp>
#define MF_PARALLEL_IO
#ifndef MF_IO_TYPE
@@ -71,9 +70,11 @@ public:
Gamma::Algebra, gamma);
};
template <typename T, typename Field>
class MesonFieldKernel: public A2AKernel<T, Field>
template <typename T, typename FImpl>
class MesonFieldKernel: public A2AKernel<T, typename FImpl::FermionField>
{
public:
typedef typename FImpl::FermionField FermionField;
public:
MesonFieldKernel(const std::vector<Gamma::Algebra> &gamma,
const std::vector<LatticeComplex> &mom,
@@ -88,10 +89,11 @@ public:
}
virtual ~MesonFieldKernel(void) = default;
virtual void operator()(A2AMatrixSet<T> &m, const Field *left, const Field *right,
const unsigned int orthogDim, double &time)
virtual void operator()(A2AMatrixSet<T> &m, const FermionField *left,
const FermionField *right,
const unsigned int orthogDim, double &t)
{
makeMesonFieldBlock(m, left, right, gamma_, mom_, orthogDim, time);
A2Autils<FImpl>::MesonField(m, left, right, gamma_, mom_, orthogDim, &t);
}
virtual double flops(const unsigned int blockSizei, const unsigned int blockSizej)
@@ -121,7 +123,7 @@ public:
FermionField,
A2AMesonFieldMetadata,
MF_IO_TYPE> Computation;
typedef MesonFieldKernel<Complex, FermionField> Kernel;
typedef MesonFieldKernel<Complex, FImpl> Kernel;
struct IoHelper
{
A2AMatrixIo<MF_IO_TYPE> io;