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Got unpreconditioned conjugate gradient to run and converge on a random (uniform random,

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not even SU(3) for now) gauge field. Convergence history is correctly indepdendent of decomposition
on 1,2,4,8,16 mpi tasks.
Found a couple of simd bugs which required fixed and enhanced the Grid_simd.cc test suite.
Implemented the Mdag, M, MdagM, Meooe Mooee schur type stuff in the wilson dop.
This commit is contained in:
Peter Boyle
2015-05-19 13:57:35 +01:00
parent c7314e526e
commit ffc00caea3
33 changed files with 566 additions and 316 deletions
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12
lib/math/Grid_math_reality.h
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@ -98,26 +98,26 @@ template<class vtype,int N> inline void timesMinusI(iMatrix<vtype,N> &ret,const
///////////////////////////////////////////////
// Conj function for scalar, vector, matrix
///////////////////////////////////////////////
template<class vtype> inline iScalar<vtype> conj(const iScalar<vtype>&r)
template<class vtype> inline iScalar<vtype> conjugate(const iScalar<vtype>&r)
{
iScalar<vtype> ret;
ret._internal = conj(r._internal);
ret._internal = conjugate(r._internal);
return ret;
}
template<class vtype,int N> inline iVector<vtype,N> conj(const iVector<vtype,N>&r)
template<class vtype,int N> inline iVector<vtype,N> conjugate(const iVector<vtype,N>&r)
{
iVector<vtype,N> ret;
for(int i=0;i<N;i++){
ret._internal[i] = conj(r._internal[i]);
ret._internal[i] = conjugate(r._internal[i]);
}
return ret;
}
template<class vtype,int N> inline iMatrix<vtype,N> conj(const iMatrix<vtype,N>&r)
template<class vtype,int N> inline iMatrix<vtype,N> conjugate(const iMatrix<vtype,N>&r)
{
iMatrix<vtype,N> ret;
for(int i=0;i<N;i++){
for(int j=0;j<N;j++){
ret._internal[i][j] = conj(r._internal[i][j]);
ret._internal[i][j] = conjugate(r._internal[i][j]);
}}
return ret;
}